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class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Daniele Tonina" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/33262079/9852884/10981955/s200_daniele.tonina.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Daniele Tonina</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://uidaho.academia.edu/">University of Idaho</a>, <a class="u-tcGrayDarker" href="https://uidaho.academia.edu/Departments/Civil_Engineering/Documents">Civil Engineering</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" 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class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>117</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Books" data-toggle="tab" href="#books" role="tab" title="Books"><span>1</span> <span class="ds2-5-body-sm-bold">Books</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Daniele Tonina</h3></div><div class="js-work-strip profile--work_container" data-work-id="96959732"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959732/Groundwater_surface_water_exchange_A_New_Graphical_User_Interface_for_temperature_time_series_analysis"><img alt="Research paper thumbnail of Groundwater-surface water exchange: A New Graphical User Interface for temperature time-series analysis" class="work-thumbnail" src="https://attachments.academia-assets.com/98712985/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959732/Groundwater_surface_water_exchange_A_New_Graphical_User_Interface_for_temperature_time_series_analysis">Groundwater-surface water exchange: A New Graphical User Interface for temperature time-series analysis</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f762030e356bedb8bc01ee505c170681" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712985,"asset_id":96959732,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712985/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" 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Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959728"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959728/International_Conference_on_Hydroinformatics_8_1_2014_Effects_Of_2_D_And_1_D_Modeling_On_Mapping_Aquatic_Habitat_Quality"><img alt="Research paper thumbnail of International Conference on Hydroinformatics 8-1-2014 Effects Of 2 D And 1 D Modeling On Mapping Aquatic Habitat Quality" class="work-thumbnail" src="https://attachments.academia-assets.com/98712944/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959728/International_Conference_on_Hydroinformatics_8_1_2014_Effects_Of_2_D_And_1_D_Modeling_On_Mapping_Aquatic_Habitat_Quality">International Conference on Hydroinformatics 8-1-2014 Effects Of 2 D And 1 D Modeling On Mapping Aquatic Habitat Quality</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c99b5fd72c67a71bb39d65912c37843d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712944,"asset_id":96959728,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712944/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa 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})(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c99b5fd72c67a71bb39d65912c37843d" } } $('.js-work-strip[data-work-id=96959728]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959728,"title":"International Conference on Hydroinformatics 8-1-2014 Effects Of 2 D And 1 D Modeling On Mapping Aquatic Habitat Quality","translated_title":"","metadata":{"grobid_abstract":"The distribution of aquatic habitat at the organism scale, i.e. 1 by 1m or smaller is typically predicted from local physical characteristics of stream flow, bed, banks and sediment characteristics and a set of biological preference curves. The flow properties are typically predicted with numerical modeling whereas stream bed and bank characteristics defined from interpolated DEM generated by topographical surveys and field observations. Information on the effects of flow properties and streambed morphology due to numerical modeling dimensionality on aquatic habitat modeling is limited. Two-dimensional (2D) modeling is becoming the most popular method to map micro-habitat but its application is still limited to short reaches and at steady state conditions. One-dimensional (1D) modeling here used in their extended version as pseudo 2D are still applied in aquatic habitat especially where only crosssectional information is available and the reach domain is several km long. Pseudo 2D modeling predicts velocities along the cross-section from uniform flow relationships and local depths from water surface elevation and local DEM of the streambed. Values between crosssections are then interpolated. The advantage of pseudo 2D modeling over the full 2D is that it is very efficient and can run at the stream network scale under unsteady conditions. Thus there is still some usefulness in comparing the prediction of these two approaches. We hypothesize that pseudo 2D modeling with very fine spaced cross-sections supported by detailed bathymetry may predict micro-habitat distributions similar of those of 2D modeling. Here, we compared local micro-habitat distributions predicted with a pseudo 2D and fully 2D numerical models of a pool-riffle complex and simple reach. Our results showed that difference in WUA derived from the pseudo 2D and fully 2D modeling is small but the difference in spatial distribution of cell suitability can be considerable under a strict cell-by-cell comparison.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"grobid_abstract_attachment_id":98712944},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959728/International_Conference_on_Hydroinformatics_8_1_2014_Effects_Of_2_D_And_1_D_Modeling_On_Mapping_Aquatic_Habitat_Quality","translated_internal_url":"","created_at":"2023-02-15T08:01:31.389-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712944,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712944/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/98712944/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"International_Conference_on_Hydroinforma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712944/viewcontent-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DInternational_Conference_on_Hydroinforma.pdf\u0026Expires=1732764041\u0026Signature=C-jDCMlKPs7gcA8hq~e8Z8o0Ny-tvY6Ysr7cP7J0h~dUa~0yBGzWcDa~ndhrD6KS-6ESdxDKXuf8Ytyt1WHAchMEulBJDj453NF3asjCyo13IhFxI4BsYpWb9eR5fCrFb3lFReC-TGxMLlrNKfIv5AgEiSok8zQSfvWdNmE8j2wEILYsVH0s5yKWmzRey1ejWhD4PnvFZzwoPGX32wlRem-Pj3sZgn8WKtXM49NYVH7jAef5AVXLKdojqHwahRdaZkDRy34YW3eF8-nrJD~p~yTDrqIZaiPTMYckq8CXUHo36oy2hcmVYYCbjEJac85oYpx~c8Ydwr1JDKWwcpzp~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"International_Conference_on_Hydroinformatics_8_1_2014_Effects_Of_2_D_And_1_D_Modeling_On_Mapping_Aquatic_Habitat_Quality","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712944,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712944/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/98712944/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"International_Conference_on_Hydroinforma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712944/viewcontent-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DInternational_Conference_on_Hydroinforma.pdf\u0026Expires=1732764041\u0026Signature=C-jDCMlKPs7gcA8hq~e8Z8o0Ny-tvY6Ysr7cP7J0h~dUa~0yBGzWcDa~ndhrD6KS-6ESdxDKXuf8Ytyt1WHAchMEulBJDj453NF3asjCyo13IhFxI4BsYpWb9eR5fCrFb3lFReC-TGxMLlrNKfIv5AgEiSok8zQSfvWdNmE8j2wEILYsVH0s5yKWmzRey1ejWhD4PnvFZzwoPGX32wlRem-Pj3sZgn8WKtXM49NYVH7jAef5AVXLKdojqHwahRdaZkDRy34YW3eF8-nrJD~p~yTDrqIZaiPTMYckq8CXUHo36oy2hcmVYYCbjEJac85oYpx~c8Ydwr1JDKWwcpzp~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":98712943,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712943/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/98712943/download_file","bulk_download_file_name":"International_Conference_on_Hydroinforma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712943/viewcontent-libre.pdf?1676478371=\u0026response-content-disposition=attachment%3B+filename%3DInternational_Conference_on_Hydroinforma.pdf\u0026Expires=1732764041\u0026Signature=KnOeByTUD3RmYficutjFF~B32ywIM-WsZz39jNqiVIp4R5Of4MCeGJ8QfeQpiByBYjYgIFoy2jbX9n4Z7mLRZM-SoGPwZsuViOVWwpoyMn5b3~967ifkbyZEVBAuKvC9m6QNjyOxRDUHs79llDAhJJgZV9cjG31c4ZDLYJnO2tb626NwEEuNXyxmUHIFHcuWo2VQh7I0pn36xDiA4dBaVYV0g2htjyP2z-uw948mqAo2rQ2QGyCxh159CgcyGf5xC-Y0WAA6aEJ9umXYEB71B7QH2mOnhWlLOjp8UVHWx4DBj63ODf3TkXdvfNSWr-6gNTyakqXpfYqsJVTrJ2DapQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":29008352,"url":"https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1461\u0026context=cc_conf_hic"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959727"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959727/A_Cascade_Of_Models_To_Guide_Reservoir_Operations_Application_On_The_Deadwood_River_System_Idaho_USA"><img alt="Research paper thumbnail of A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, USA" class="work-thumbnail" src="https://attachments.academia-assets.com/98712940/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959727/A_Cascade_Of_Models_To_Guide_Reservoir_Operations_Application_On_The_Deadwood_River_System_Idaho_USA">A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, USA</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Adaptive management strategies are increasingly being used by resource managers to optimize compl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Adaptive management strategies are increasingly being used by resource managers to optimize complex water delivery systems at the scale of entire watersheds. A variety of models have been proposed to evaluate systems in a piecemeal approach that often times operate at different spatial and temporal scales and prove difficult to integrate with associated field data. In the Deadwood River system of Central Idaho, a series of cascading models was utilized to examine potential impacts of reservoir operations on endangered resident bull trout. Results from integrating limnologic, temperature, nutrient, hyporheic, and hydraulic models show that reservoir operations must remain dynamic depending upon the hydrologic conditions (wet vs. dry) present during any given year. Assimilating models that operate at various levels within a watershed will become increasingly important as climate change affects the regional hydrology and water resources operations must adjust to meet current and future...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="88024e3cec15015f9afd397f4e15b977" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712940,"asset_id":96959727,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712940/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959727"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959727"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959727; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959727]").text(description); $(".js-view-count[data-work-id=96959727]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959727; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959727']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959727, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "88024e3cec15015f9afd397f4e15b977" } } $('.js-work-strip[data-work-id=96959727]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959727,"title":"A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, USA","translated_title":"","metadata":{"abstract":"Adaptive management strategies are increasingly being used by resource managers to optimize complex water delivery systems at the scale of entire watersheds. A variety of models have been proposed to evaluate systems in a piecemeal approach that often times operate at different spatial and temporal scales and prove difficult to integrate with associated field data. In the Deadwood River system of Central Idaho, a series of cascading models was utilized to examine potential impacts of reservoir operations on endangered resident bull trout. Results from integrating limnologic, temperature, nutrient, hyporheic, and hydraulic models show that reservoir operations must remain dynamic depending upon the hydrologic conditions (wet vs. dry) present during any given year. Assimilating models that operate at various levels within a watershed will become increasingly important as climate change affects the regional hydrology and water resources operations must adjust to meet current and future...","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"Adaptive management strategies are increasingly being used by resource managers to optimize complex water delivery systems at the scale of entire watersheds. A variety of models have been proposed to evaluate systems in a piecemeal approach that often times operate at different spatial and temporal scales and prove difficult to integrate with associated field data. In the Deadwood River system of Central Idaho, a series of cascading models was utilized to examine potential impacts of reservoir operations on endangered resident bull trout. Results from integrating limnologic, temperature, nutrient, hyporheic, and hydraulic models show that reservoir operations must remain dynamic depending upon the hydrologic conditions (wet vs. dry) present during any given year. Assimilating models that operate at various levels within a watershed will become increasingly important as climate change affects the regional hydrology and water resources operations must adjust to meet current and 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profile--work_container" data-work-id="96959726"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959726/Coupled_reservoir_river_systems_Lessons_from_an_integrated_aquatic_ecosystem_assessment"><img alt="Research paper thumbnail of Coupled reservoir-river systems: Lessons from an integrated aquatic ecosystem assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/98712981/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959726/Coupled_reservoir_river_systems_Lessons_from_an_integrated_aquatic_ecosystem_assessment">Coupled reservoir-river systems: Lessons from an integrated aquatic ecosystem assessment</a></div><div class="wp-workCard_item"><span>Journal of Environmental Management</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a9d521fbd3da14275fcea61041eeb40a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712981,"asset_id":96959726,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712981/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959726"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span 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WowProfile.WorkStripView({ el: this, workJSON: {"id":96959726,"title":"Coupled reservoir-river systems: Lessons from an integrated aquatic ecosystem assessment","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Sustainable reservoir-river management requires balancing complex trade-offs and decision-making to support both human water demands and ecological function. Current numerical simulation and optimization algorithms can guide reservoir-river operations for optimal hydropower production, irrigation, nutrient management, and municipal consumption, yet much less is known about optimization of associated ecosystems. This ten-year study demonstrates an ecosystem assessment approach that links the environmental processes to an ecosystem response in order to evaluate the impact of climatic forcing and reservoir operations on the aquatic ecosystems of a coupled headwater reservoir-river system. The approach uses a series of numerical, statistical, and empirical models to explore reservoir operational flexibility aimed at improving the environmental processes that support aquatic ecosystem function. The results illustrate that understanding the seasonal biogeochemical changes in reservoirs is critical for determining environmental flow releases and the ecological trajectory of both the reservoir and river systems. The coupled models show that reservoir management can improve the ecological function of complex aquatic ecosystems under certain climatic conditions. During dry hydrologic years, the high post-irrigation release can increase the downstream primary and macroinvertebrate production by 99% and 45% respectively. However, this flow release would reduce total fish biomass in the reservoir by 16%, providing management tradeoffs to the different ecosystems. Additionally, low post-irrigation flows during the winter season supports water temperature that can maintain ice cover in the downstream river for improved ecosystem function. The ecosystem assessment approach provides operational flexibility for large infrastructure, supports transparent decision-making by management agencies, and facilitates framing of environmental legislation.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Journal of Environmental Management","grobid_abstract_attachment_id":98712981},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959726/Coupled_reservoir_river_systems_Lessons_from_an_integrated_aquatic_ecosystem_assessment","translated_internal_url":"","created_at":"2023-02-15T08:01:31.033-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712981,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712981/thumbnails/1.jpg","file_name":"j.jenvman.2020.11010720230215-1-iuh5dn.pdf","download_url":"https://www.academia.edu/attachments/98712981/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Coupled_reservoir_river_systems_Lessons.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712981/j.jenvman.2020.11010720230215-1-iuh5dn-libre.pdf?1676478417=\u0026response-content-disposition=attachment%3B+filename%3DCoupled_reservoir_river_systems_Lessons.pdf\u0026Expires=1732764041\u0026Signature=PqCDaMCbfs2K0vDa4BwizbH6t8eOPbaIutIzo7YYlqxeOXzvgy7LdmZbyFov2PVye4E8~Z8Hf~ENbmLKVtb1pNmlBZaN8g8VN4vjeLwAt4W8lRARK92FtNXRgykg~6nqNBpazZFTxvGU0181QAMBYn76Wtbr7dnEC5SimlNIfGR~YSqy~iQlyDAME1O0plBP7nDxvwGMkrymuCyj8Ehu30UVKqtCGMfpBRy~PzLCn1PdWxVxc3eTCTeNgbxK7TCkgHpc3QJcECsAmwq7AYJdXG8-CPzLEqeua62xMC~o2yMtOTe8MXvFs17Ze7AjzYeR2XWymHFg8JLl~HDGvOvmJw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Coupled_reservoir_river_systems_Lessons_from_an_integrated_aquatic_ecosystem_assessment","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712981,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712981/thumbnails/1.jpg","file_name":"j.jenvman.2020.11010720230215-1-iuh5dn.pdf","download_url":"https://www.academia.edu/attachments/98712981/download_file?st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Coupled_reservoir_river_systems_Lessons.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712981/j.jenvman.2020.11010720230215-1-iuh5dn-libre.pdf?1676478417=\u0026response-content-disposition=attachment%3B+filename%3DCoupled_reservoir_river_systems_Lessons.pdf\u0026Expires=1732764041\u0026Signature=PqCDaMCbfs2K0vDa4BwizbH6t8eOPbaIutIzo7YYlqxeOXzvgy7LdmZbyFov2PVye4E8~Z8Hf~ENbmLKVtb1pNmlBZaN8g8VN4vjeLwAt4W8lRARK92FtNXRgykg~6nqNBpazZFTxvGU0181QAMBYn76Wtbr7dnEC5SimlNIfGR~YSqy~iQlyDAME1O0plBP7nDxvwGMkrymuCyj8Ehu30UVKqtCGMfpBRy~PzLCn1PdWxVxc3eTCTeNgbxK7TCkgHpc3QJcECsAmwq7AYJdXG8-CPzLEqeua62xMC~o2yMtOTe8MXvFs17Ze7AjzYeR2XWymHFg8JLl~HDGvOvmJw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":7609,"name":"Environmental Management","url":"https://www.academia.edu/Documents/in/Environmental_Management"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":31040,"name":"Hydropower","url":"https://www.academia.edu/Documents/in/Hydropower"},{"id":53796,"name":"Aquatic Ecosystem","url":"https://www.academia.edu/Documents/in/Aquatic_Ecosystem"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"}],"urls":[{"id":29008350,"url":"https://api.elsevier.com/content/article/PII:S0301479720300451?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959725"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959725/Experimentally_obtained_velocity_and_pressure_fields_of_an_open_channel_flow_around_a_cylinder_using_RIM_SPIV"><img alt="Research paper thumbnail of Experimentally obtained velocity and pressure fields of an open channel flow around a cylinder using RIM-SPIV" class="work-thumbnail" src="https://attachments.academia-assets.com/98712938/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959725/Experimentally_obtained_velocity_and_pressure_fields_of_an_open_channel_flow_around_a_cylinder_using_RIM_SPIV">Experimentally obtained velocity and pressure fields of an open channel flow around a cylinder using RIM-SPIV</a></div><div class="wp-workCard_item"><span>14th International Symposium on Particle Image Velocimetry</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The quantification of velocity and pressure fields over streambeds is important for predicting se...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The quantification of velocity and pressure fields over streambeds is important for predicting sediment mobility and water exchange between stream and sediment interstitial spaces (Schmeeckle and Nelson, 2003; Tonina and Buffington, 2009). The latter is typically referred as hyporheic flow, which consists of surface water that flows through the streambed sediment pores (Tonina and Buffington, 2009). These fluxes are mainly driven by pressure gradients at the water sediment interface. In this paper, we report an experimental investigation of the time-averaged velocity and pressure field, quantified in a set of laboratory experiments using stereo PIV (Particle Image Velocimetry) with a non-toxic index-matched fluid, for an open channel flow around a barely submerged vertical cylinder as a model for plant stalk over a plane bed of coarse granular sediment, mimicking a stream gravel bed. This is the first time that such a velocity and pressure field is characterized experimentally for a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="56d972544e72900758b32e995c77b141" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712938,"asset_id":96959725,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712938/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959725"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959725"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959725; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959725]").text(description); $(".js-view-count[data-work-id=96959725]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959725; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959725']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959725, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "56d972544e72900758b32e995c77b141" } } $('.js-work-strip[data-work-id=96959725]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959725,"title":"Experimentally obtained velocity and pressure fields of an open channel flow around a cylinder using RIM-SPIV","translated_title":"","metadata":{"abstract":"The quantification of velocity and pressure fields over streambeds is important for predicting sediment mobility and water exchange between stream and sediment interstitial spaces (Schmeeckle and Nelson, 2003; Tonina and Buffington, 2009). The latter is typically referred as hyporheic flow, which consists of surface water that flows through the streambed sediment pores (Tonina and Buffington, 2009). These fluxes are mainly driven by pressure gradients at the water sediment interface. In this paper, we report an experimental investigation of the time-averaged velocity and pressure field, quantified in a set of laboratory experiments using stereo PIV (Particle Image Velocimetry) with a non-toxic index-matched fluid, for an open channel flow around a barely submerged vertical cylinder as a model for plant stalk over a plane bed of coarse granular sediment, mimicking a stream gravel bed. This is the first time that such a velocity and pressure field is characterized experimentally for a...","publisher":"Paul V. Galvin Library/Illinois Institute of Technology","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"14th International Symposium on Particle Image Velocimetry"},"translated_abstract":"The quantification of velocity and pressure fields over streambeds is important for predicting sediment mobility and water exchange between stream and sediment interstitial spaces (Schmeeckle and Nelson, 2003; Tonina and Buffington, 2009). The latter is typically referred as hyporheic flow, which consists of surface water that flows through the streambed sediment pores (Tonina and Buffington, 2009). These fluxes are mainly driven by pressure gradients at the water sediment interface. In this paper, we report an experimental investigation of the time-averaged velocity and pressure field, quantified in a set of laboratory experiments using stereo PIV (Particle Image Velocimetry) with a non-toxic index-matched fluid, for an open channel flow around a barely submerged vertical cylinder as a model for plant stalk over a plane bed of coarse granular sediment, mimicking a stream gravel bed. This is the first time that such a velocity and pressure field is characterized experimentally for a...","internal_url":"https://www.academia.edu/96959725/Experimentally_obtained_velocity_and_pressure_fields_of_an_open_channel_flow_around_a_cylinder_using_RIM_SPIV","translated_internal_url":"","created_at":"2023-02-15T08:01:30.846-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712938,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712938/thumbnails/1.jpg","file_name":"159.pdf","download_url":"https://www.academia.edu/attachments/98712938/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experimentally_obtained_velocity_and_pre.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712938/159-libre.pdf?1676478377=\u0026response-content-disposition=attachment%3B+filename%3DExperimentally_obtained_velocity_and_pre.pdf\u0026Expires=1732764041\u0026Signature=S-5MA4x~h8SrqR9DkPUsEi~~WGDNnn3v3Y7APMeITg0i3whpf0gZ5Alz14vreyZRPziQHgehc-CPPn-55EPwnxnJpQ5MkjnB9FB1H9JFLmB0ObnU4Rzpde9PQOTeZvbGSaCxHga45QI2hDhACujND2jTJRd6BAZbT-av6bDqHtsZ65ZVmvOys0ePGTCQWjeN3AGP8s~tpRqt40mAYrCRlA1EM701dXCfmI1TOzOnLf~pefLYmrpquvY3AFp7vp70JWfWUERjXTeybyAJNKz1xGBuUYQdi5J76bmwEI0NXldID9cu45TkFPL6SNPPV5vp8bDOdAjMh3K91IHo3s23Cw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Experimentally_obtained_velocity_and_pressure_fields_of_an_open_channel_flow_around_a_cylinder_using_RIM_SPIV","translated_slug":"","page_count":3,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712938,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712938/thumbnails/1.jpg","file_name":"159.pdf","download_url":"https://www.academia.edu/attachments/98712938/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experimentally_obtained_velocity_and_pre.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712938/159-libre.pdf?1676478377=\u0026response-content-disposition=attachment%3B+filename%3DExperimentally_obtained_velocity_and_pre.pdf\u0026Expires=1732764041\u0026Signature=S-5MA4x~h8SrqR9DkPUsEi~~WGDNnn3v3Y7APMeITg0i3whpf0gZ5Alz14vreyZRPziQHgehc-CPPn-55EPwnxnJpQ5MkjnB9FB1H9JFLmB0ObnU4Rzpde9PQOTeZvbGSaCxHga45QI2hDhACujND2jTJRd6BAZbT-av6bDqHtsZ65ZVmvOys0ePGTCQWjeN3AGP8s~tpRqt40mAYrCRlA1EM701dXCfmI1TOzOnLf~pefLYmrpquvY3AFp7vp70JWfWUERjXTeybyAJNKz1xGBuUYQdi5J76bmwEI0NXldID9cu45TkFPL6SNPPV5vp8bDOdAjMh3K91IHo3s23Cw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":98712939,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712939/thumbnails/1.jpg","file_name":"159.pdf","download_url":"https://www.academia.edu/attachments/98712939/download_file","bulk_download_file_name":"Experimentally_obtained_velocity_and_pre.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712939/159-libre.pdf?1676478377=\u0026response-content-disposition=attachment%3B+filename%3DExperimentally_obtained_velocity_and_pre.pdf\u0026Expires=1732764042\u0026Signature=UF~fSiCnGBz8liilH0oag69IE~Cpj2Hgg-vI962GtH-YG3k6k-~rx0~MBUKpnkcBC0EEtsuKNKjaSwnKEwRaE~LMxUMkRQCsko07JuQwIkAiRq8D2lfy4FIWnoLf4qaHyMRV9etUYUI-xg4ftzYIRQujMS7OTX1HcisLBQL07M-Wgd1zMYoJGYXEKlVsz8r9fbCm5rVy0dGVU7jsjHlZvVzZ92vv3qRLwaZmGoe52Yqzhsvd0lo5UegqcCzyGjojaF228K~oCFnXaQuYAsrR6oY1RruMZghokJhBrGmSNh5LS4XquxfZj8fTFpFO1NwbnR1lDQVV-6vJq8elIby8CA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":13699,"name":"Particle Image Velocimetry","url":"https://www.academia.edu/Documents/in/Particle_Image_Velocimetry"},{"id":192294,"name":"Sediment","url":"https://www.academia.edu/Documents/in/Sediment"}],"urls":[{"id":29008349,"url":"https://ispiv21.library.iit.edu/index.php/ISPIV/article/download/156/159"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959724"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959724/Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho"><img alt="Research paper thumbnail of Some like it slow: a bioenergetic evaluation of habitat quality for juvenile Chinook salmon in the Lemhi River, Idaho" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959724/Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho">Some like it slow: a bioenergetic evaluation of habitat quality for juvenile Chinook salmon in the Lemhi River, Idaho</a></div><div class="wp-workCard_item"><span>Canadian Journal of Fisheries and Aquatic Sciences</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Management and conservation of freshwater habitat requires fine spatial resolution and watershed-...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Management and conservation of freshwater habitat requires fine spatial resolution and watershed-scale and life-stage-specific methods due to complex linkages among land, climate, water uses, and aquatic organism necessities. In this study, we present a valley-scale microhabitat resolution, process-based bioenergetics approach that combines high-resolution topobathymetric LiDAR survey with two-dimensional hydrodynamic and bioenergetics modeling. We applied the model to investigate the role of lateral habitat, stream morphological complexity, water use, and temperature regimes on aquatic habitat quality distribution of juvenile Chinook salmon (Oncorhynchus tshawytscha) within the Lemhi River (eastern Idaho, USA). Modeling results showed two key aspects: (i) a reduction in diverted flows is not sufficient to improve habitat quality potentially because of a legacy of morphological simplification (directly due to straightening and wood removal and indirectly due to low in-channel flows)...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959724"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959724"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959724; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959724]").text(description); $(".js-view-count[data-work-id=96959724]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959724; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959724']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959724, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=96959724]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959724,"title":"Some like it slow: a bioenergetic evaluation of habitat quality for juvenile Chinook salmon in the Lemhi River, Idaho","translated_title":"","metadata":{"abstract":"Management and conservation of freshwater habitat requires fine spatial resolution and watershed-scale and life-stage-specific methods due to complex linkages among land, climate, water uses, and aquatic organism necessities. In this study, we present a valley-scale microhabitat resolution, process-based bioenergetics approach that combines high-resolution topobathymetric LiDAR survey with two-dimensional hydrodynamic and bioenergetics modeling. We applied the model to investigate the role of lateral habitat, stream morphological complexity, water use, and temperature regimes on aquatic habitat quality distribution of juvenile Chinook salmon (Oncorhynchus tshawytscha) within the Lemhi River (eastern Idaho, USA). Modeling results showed two key aspects: (i) a reduction in diverted flows is not sufficient to improve habitat quality potentially because of a legacy of morphological simplification (directly due to straightening and wood removal and indirectly due to low in-channel flows)...","publisher":"Canadian Science Publishing","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Canadian Journal of Fisheries and Aquatic Sciences"},"translated_abstract":"Management and conservation of freshwater habitat requires fine spatial resolution and watershed-scale and life-stage-specific methods due to complex linkages among land, climate, water uses, and aquatic organism necessities. In this study, we present a valley-scale microhabitat resolution, process-based bioenergetics approach that combines high-resolution topobathymetric LiDAR survey with two-dimensional hydrodynamic and bioenergetics modeling. We applied the model to investigate the role of lateral habitat, stream morphological complexity, water use, and temperature regimes on aquatic habitat quality distribution of juvenile Chinook salmon (Oncorhynchus tshawytscha) within the Lemhi River (eastern Idaho, USA). Modeling results showed two key aspects: (i) a reduction in diverted flows is not sufficient to improve habitat quality potentially because of a legacy of morphological simplification (directly due to straightening and wood removal and indirectly due to low in-channel flows)...","internal_url":"https://www.academia.edu/96959724/Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho","translated_internal_url":"","created_at":"2023-02-15T08:01:30.679-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[],"research_interests":[{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":85707,"name":"Habitat","url":"https://www.academia.edu/Documents/in/Habitat"},{"id":170652,"name":"Fisheries Sciences","url":"https://www.academia.edu/Documents/in/Fisheries_Sciences"},{"id":261821,"name":"Watershed","url":"https://www.academia.edu/Documents/in/Watershed"},{"id":2470834,"name":"Oncorhynchus","url":"https://www.academia.edu/Documents/in/Oncorhynchus"}],"urls":[{"id":29008348,"url":"http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2019-0136"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959722"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959722/Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream"><img alt="Research paper thumbnail of Evaluating the performance of topobathymetric LiDAR to support multi鈥恉imensional flow modelling in a gravel鈥恇ed mountain stream" class="work-thumbnail" src="https://attachments.academia-assets.com/98712980/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959722/Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream">Evaluating the performance of topobathymetric LiDAR to support multi鈥恉imensional flow modelling in a gravel鈥恇ed mountain stream</a></div><div class="wp-workCard_item"><span>Earth Surface Processes and Landforms</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7b58a977999ab619d87e9f37381ec090" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712980,"asset_id":96959722,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712980/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959722"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959722"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959722; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959722]").text(description); $(".js-view-count[data-work-id=96959722]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959722; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959722']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959722, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7b58a977999ab619d87e9f37381ec090" } } $('.js-work-strip[data-work-id=96959722]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959722,"title":"Evaluating the performance of topobathymetric LiDAR to support multi鈥恉imensional flow modelling in a gravel鈥恇ed mountain stream","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"Stream biophysical processes are commonly studied using multi-dimensional numerical modelling that quantifies flow hydraulics from which parameters such as habitat suitability, stream carrying capacity, and bed mobility are derived. These analyses would benefit from accurate high-resolution stream bathymetries spanning tens of kilometres of channel, especially in small streams or where navigation is difficult. Traditional ground-based survey methods are limited by survey time, dense vegetation and stream access, and are usually only feasible for short reaches. Conversely, airborne topobathymetric LiDAR surveys may overcome these limitations, although limited research is available on how errors in LiDAR-derived digital elevation models (DEMs) might propagate through flow models. This study investigated the performance of LiDAR-derived topobathymetry in support of multi-dimensional flow modelling and ecohydraulics calculations in two gravel-bedded reaches (approximately 200m long), one morphologically complex and one morphologically simple, and at the segment scale (32km-long stream segment) along a 15m-wide river in central Idaho, USA. We compared metre and sub-metre-resolution DEMs generated from RTK-GPS ground and Experimental Advanced Airborne Research LiDAR-B (EAARL-B) surveys and water depths, velocities, shear stresses, habitat suitability, and bed mobility modelled with two-dimensional (2D) hydraulic models supported by LiDAR and ground-surveyed DEMs. Residual statistics, bias (B), and standard deviation (SD) of the residuals between depth and velocity predicted from the model supported by LiDAR and ground-survey topobathymetries were up to 脌0.04 (B) and 0.09m (SD) for depth and 脌0.09 (B) and 0.20ms 脌1 (SD) for velocity. The accuracy (B = 0.05m), precision (SD = 0.09m), and point density (1 pointm 脌2) of the LiDAR topobathymetric survey (regardless of reach complexity) were sufficient to support 2D hydrodynamic modelling and derivative stream habitat and process analyses, because these statistics were comparable to those of model calibration with B = 0m and SD = 0.04m for water surface elevation and B=0.05ms 脌1 and SD=0.22ms 脌1 for velocity in our investigation.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Earth Surface Processes and Landforms","grobid_abstract_attachment_id":98712980},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959722/Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream","translated_internal_url":"","created_at":"2023-02-15T08:01:30.492-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712980/thumbnails/1.jpg","file_name":"esp.493420230215-1-1tqvdwn.pdf","download_url":"https://www.academia.edu/attachments/98712980/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Evaluating_the_performance_of_topobathym.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712980/esp.493420230215-1-1tqvdwn-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DEvaluating_the_performance_of_topobathym.pdf\u0026Expires=1732764042\u0026Signature=FpVngRr~onOVs0KLc1EfBro69GBkFzGjJV6hsEj6U0icgbctOjX~fqNyBMP2Vcb4JwhxXM-W-KCIzLlw4TDXwXMiFweNUswmZTnYC-fWiH4GPp3~KCfaUZddafgaiJCxVf1cpyhQQXB1GlgVI-n9nEt~WelNKeTBezY8w1Cp139c4W4Act2HnorZDv7qaYWq8FDZYeA~km0wjwyGqfiXSrh3bY2Zt6d10JzrTN0DTiM26nebauSp7y-M-77DTbHV7yNeuzH7-eW-NIAGG03AFmf91ar0ZlnI5iArCs8FXHV0rdgiZs0LL38R53Gw4hdeAThX5uxNZ1JrgMFXpC2sqw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream","translated_slug":"","page_count":19,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712980/thumbnails/1.jpg","file_name":"esp.493420230215-1-1tqvdwn.pdf","download_url":"https://www.academia.edu/attachments/98712980/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Evaluating_the_performance_of_topobathym.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712980/esp.493420230215-1-1tqvdwn-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DEvaluating_the_performance_of_topobathym.pdf\u0026Expires=1732764042\u0026Signature=FpVngRr~onOVs0KLc1EfBro69GBkFzGjJV6hsEj6U0icgbctOjX~fqNyBMP2Vcb4JwhxXM-W-KCIzLlw4TDXwXMiFweNUswmZTnYC-fWiH4GPp3~KCfaUZddafgaiJCxVf1cpyhQQXB1GlgVI-n9nEt~WelNKeTBezY8w1Cp139c4W4Act2HnorZDv7qaYWq8FDZYeA~km0wjwyGqfiXSrh3bY2Zt6d10JzrTN0DTiM26nebauSp7y-M-77DTbHV7yNeuzH7-eW-NIAGG03AFmf91ar0ZlnI5iArCs8FXHV0rdgiZs0LL38R53Gw4hdeAThX5uxNZ1JrgMFXpC2sqw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":8125,"name":"LiDAR","url":"https://www.academia.edu/Documents/in/LiDAR"},{"id":284544,"name":"Digital Elevation Model","url":"https://www.academia.edu/Documents/in/Digital_Elevation_Model"},{"id":378051,"name":"Streams","url":"https://www.academia.edu/Documents/in/Streams"}],"urls":[{"id":29008347,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.4934"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959721"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959721/Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor"><img alt="Research paper thumbnail of Post-wildfire riparian forest recovery processes along a regulated river corridor" class="work-thumbnail" src="https://attachments.academia-assets.com/98712979/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959721/Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor">Post-wildfire riparian forest recovery processes along a regulated river corridor</a></div><div class="wp-workCard_item"><span>Forest Ecology and Management</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a391142b46890e47fd7293ff451372c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712979,"asset_id":96959721,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712979/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959721"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959721"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959721; 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The goals of the study were to examine the dominant mechanisms of post-wildfire riparian forest regeneration along the river corridor in relation to upstream dam operations. Results are put in context with trends occurring in the regulated river system over the past 70 years that exemplify post-impoundment floodplain dynamics. Aerial imagery and field surveys were used to examine trends in geomorphic and forest response related to flow regulation, riparian wildfire, and a 50-year flood. Additionally, a one-dimensional sediment transport model was employed to assess seedling recruitment related to local and reach-scale erosional and depositional processes over a five-year period following the wildfire. A conceptual model is presented to illustrate riparian forest response to the interacting influences of fire severity and flood disturbance to help guide post-wildfire riparian forest management activities. Aerial imagery between 1957 and 2011 shows that flow regulation after dam closure led to channel narrowing of 62% of historic active channel width and an associated increase in floodplain tree density of 59%. This expansion of forest cover on the floodplain was at the expense of seedling recruitment habitat for pioneer species in the Salicaceae family that require bare sediment, light exposure, and access to the shallow groundwater. A 2013 riparian wildfire led to substantial top kill on the floodplain that provided a disturbance for potential seedling recruitment. However, dam releases during average and wet hydrologic conditions led to only 5% of the total observed seedling recruitment in the system occurring on the floodplain due to the limited magnitude of flood disturbances following the burn, highlighting the importance of the sequence of environmental flows immediately following riparian wildfire. Alternatively, 95% of seedling recruitment occurred within the active channel and was directly related to sediment transport processes. Post-wildfire related debris flows were responsible for providing the requisite sediment supply to the channel in an otherwise sediment supply-limited, regulated river system. Resultant sediment deposition was responsible for providing 100% of seedling recruitment habitat in the active channel during dam releases in average hydrologic conditions, whereas deposition accounted for 84% and erosion accounted for 16% of observed recruitment habitat during wet hydrologic conditions.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Forest Ecology and Management","grobid_abstract_attachment_id":98712979},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959721/Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor","translated_internal_url":"","created_at":"2023-02-15T08:01:30.292-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712979,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712979/thumbnails/1.jpg","file_name":"j.foreco.2020.11851320230215-1-88c3t1.pdf","download_url":"https://www.academia.edu/attachments/98712979/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Post_wildfire_riparian_forest_recovery_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712979/j.foreco.2020.11851320230215-1-88c3t1-libre.pdf?1676478389=\u0026response-content-disposition=attachment%3B+filename%3DPost_wildfire_riparian_forest_recovery_p.pdf\u0026Expires=1732764042\u0026Signature=doSjfRlArg5w-h1VaOJjfvZKwVJgvhcw98nuthcSJxh2ErCMEqS5G8CuJsN7vvlX7C35TyCq1pODduFrDUSjAdKkmRLbsUZKWSAt9OCT25iWp2BjyOwqUE1bhkUHkNLG5gu5g3gMxnlkqGvyy718Fx-PamIeSysMiHXvYuLvmsujmfVHX5oq6y~5mH2HXWA5cMd2RCyESJWvb~NEvONeDbYUCyUT-QeP8noyY0hMUYfGCAaiYQTDH6zjFQo1G5wNXWx2uT9luIsosjsOXJsECc2W14lfw0K-mxvZ833vnLRiUci139twVnVRDT0olzpe7DIGIfU4RJUbEbHMF1sjag__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712979,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712979/thumbnails/1.jpg","file_name":"j.foreco.2020.11851320230215-1-88c3t1.pdf","download_url":"https://www.academia.edu/attachments/98712979/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Post_wildfire_riparian_forest_recovery_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712979/j.foreco.2020.11851320230215-1-88c3t1-libre.pdf?1676478389=\u0026response-content-disposition=attachment%3B+filename%3DPost_wildfire_riparian_forest_recovery_p.pdf\u0026Expires=1732764042\u0026Signature=doSjfRlArg5w-h1VaOJjfvZKwVJgvhcw98nuthcSJxh2ErCMEqS5G8CuJsN7vvlX7C35TyCq1pODduFrDUSjAdKkmRLbsUZKWSAt9OCT25iWp2BjyOwqUE1bhkUHkNLG5gu5g3gMxnlkqGvyy718Fx-PamIeSysMiHXvYuLvmsujmfVHX5oq6y~5mH2HXWA5cMd2RCyESJWvb~NEvONeDbYUCyUT-QeP8noyY0hMUYfGCAaiYQTDH6zjFQo1G5wNXWx2uT9luIsosjsOXJsECc2W14lfw0K-mxvZ833vnLRiUci139twVnVRDT0olzpe7DIGIfU4RJUbEbHMF1sjag__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":7653,"name":"Forest Ecology And Management","url":"https://www.academia.edu/Documents/in/Forest_Ecology_And_Management"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":388939,"name":"Riparian forest","url":"https://www.academia.edu/Documents/in/Riparian_forest"}],"urls":[{"id":29008346,"url":"https://api.elsevier.com/content/article/PII:S0378112720312822?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959720"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959720/Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions"><img alt="Research paper thumbnail of Monitoring Streambed Scour/Deposition Under Nonideal Temperature Signal and Flood Conditions" class="work-thumbnail" src="https://attachments.academia-assets.com/98712978/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959720/Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions">Monitoring Streambed Scour/Deposition Under Nonideal Temperature Signal and Flood Conditions</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac6db9935ef5aa07c32310da0436a22a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712978,"asset_id":96959720,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712978/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959720"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959720"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959720; 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Previous research showed proof of concept that analysis of paired temperature signals of stream and pore waters can simultaneously provide monitoring scour and deposition, stream sediment thermal regime, and seepage velocity information. However, it did not address challenges often associated with natural systems, including non-ideal temperature variations (low amplitude, non-sinusoidal signal and vertical thermal gradients) and natural flooding conditions on monitoring scour and deposition processes over time. Here, we addressed this knowledge gap by testing the proposed thermal scour-deposition chain (TSDC) methodology, with laboratory experiments to test the impact of non-ideal temperature signals under a range of seepage velocities and with a field application during a pulse flood. Both analyses showed excellent match between surveyed and temperaturederived bed elevation changes even under very low temperature signal amplitudes (less than 1掳C), non-ideal signal shape (sawtooth shape) and strong and changing vertical thermal gradients (4掳C/m). Root mean square errors on predicting the change in streambed elevations This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as an 'Accepted Article',","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Water Resources Research","grobid_abstract_attachment_id":98712978},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959720/Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions","translated_internal_url":"","created_at":"2023-02-15T08:01:30.120-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712978/thumbnails/1.jpg","file_name":"2017WR02063220230215-1-1r51o6u.pdf","download_url":"https://www.academia.edu/attachments/98712978/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Monitoring_Streambed_Scour_Deposition_Un.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712978/2017WR02063220230215-1-1r51o6u-libre.pdf?1676478412=\u0026response-content-disposition=attachment%3B+filename%3DMonitoring_Streambed_Scour_Deposition_Un.pdf\u0026Expires=1732764042\u0026Signature=PgIz2gj8IEovslNWH005tCVFDhpZjFZzsmXVR5Tu899PuedJX8SrJCdzn6SqnvsWZSJVS55dmydB0PhE~DUvZsyyQmQ9VhTe3qAlGrgmuvGk34O9z1-yZQ7V5aVTNJoIA3koQdXZjh-soUL4jW5t9KtDRzwlcCiqKnbpNiM~La3P-sHGyh0Bc6VTkkaGEbuQop-D1uvilcsFANGEO4UL-IvsOMQme3-ZMaizLHC0IPciNtKdVBSMjkh7B8FkSxwAPynUT2QaIrSaHKBPjuN8jbH55TYIWBXUZZUVWoTI0VzIvhHJhYyrh8n1n6YUBNYJKN-PzzsV8VuonLZL~mqKWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions","translated_slug":"","page_count":40,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712978/thumbnails/1.jpg","file_name":"2017WR02063220230215-1-1r51o6u.pdf","download_url":"https://www.academia.edu/attachments/98712978/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Monitoring_Streambed_Scour_Deposition_Un.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712978/2017WR02063220230215-1-1r51o6u-libre.pdf?1676478412=\u0026response-content-disposition=attachment%3B+filename%3DMonitoring_Streambed_Scour_Deposition_Un.pdf\u0026Expires=1732764042\u0026Signature=PgIz2gj8IEovslNWH005tCVFDhpZjFZzsmXVR5Tu899PuedJX8SrJCdzn6SqnvsWZSJVS55dmydB0PhE~DUvZsyyQmQ9VhTe3qAlGrgmuvGk34O9z1-yZQ7V5aVTNJoIA3koQdXZjh-soUL4jW5t9KtDRzwlcCiqKnbpNiM~La3P-sHGyh0Bc6VTkkaGEbuQop-D1uvilcsFANGEO4UL-IvsOMQme3-ZMaizLHC0IPciNtKdVBSMjkh7B8FkSxwAPynUT2QaIrSaHKBPjuN8jbH55TYIWBXUZZUVWoTI0VzIvhHJhYyrh8n1n6YUBNYJKN-PzzsV8VuonLZL~mqKWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":4526,"name":"Water resources","url":"https://www.academia.edu/Documents/in/Water_resources"},{"id":27659,"name":"Applied Economics","url":"https://www.academia.edu/Documents/in/Applied_Economics"},{"id":192294,"name":"Sediment","url":"https://www.academia.edu/Documents/in/Sediment"},{"id":1554800,"name":"Amplitude","url":"https://www.academia.edu/Documents/in/Amplitude"},{"id":3647976,"name":"Flood Myth","url":"https://www.academia.edu/Documents/in/Flood_Myth"}],"urls":[{"id":29008345,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017WR020632"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959719"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959719/Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways"><img alt="Research paper thumbnail of Biological Turbulence Intensity Index for Pacific Lamprey Passage of Artificial Fishways" class="work-thumbnail" src="https://attachments.academia-assets.com/98712973/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959719/Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways">Biological Turbulence Intensity Index for Pacific Lamprey Passage of Artificial Fishways</a></div><div class="wp-workCard_item"><span>38th IAHR World Congress - "Water: Connecting the World"</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="051a648100b44ee72558181a47d547f1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712973,"asset_id":96959719,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712973/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959719"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959719"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959719; 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Several quantities have been previously proposed as predictors of fish passage success. These include mean turbulence kinematic energy, turbulence intensity, vorticity, work and power. However, these quantities do not provide univocal results. Here, we present a novel biologically significant turbulence intensity metric, Ibio. We define Ibio as the ratio between the root square of total kinematic turbulence energy per unit mass and a biological velocity threshold significant for any selected species of interest. We tested this index for predicting the difficulty of passage conditions for Pacific Lampreys (Entosphenus tridentatus) when passing a vertical slot structure. Pacific Lampreys are anadromous, and migrate both toward the ocean and back to their native spawning grounds in the tributaries of the Columbia River, where their migration is challenged by several dams and reservoirs. Previous observations suggest that serpentine weir sections in the upper fishways with high turbulence are a bottleneck for this species. We conducted a set of flume experiments with a vertical slot structure where lamprey behavioral observations were coupled with measurements of the flow field for three different mean flow velocities, three slot lengths and two turbulence treatments. Our analysis shows that our turbulence intensity index, Ibio, performs better than metrics of work and power when predicting the difficulty of lamprey passage conditions.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"38th IAHR World Congress - \"Water: Connecting the World\"","grobid_abstract_attachment_id":98712973},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959719/Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways","translated_internal_url":"","created_at":"2023-02-15T08:01:30.002-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712973,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712973/thumbnails/1.jpg","file_name":"310.pdf","download_url":"https://www.academia.edu/attachments/98712973/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Biological_Turbulence_Intensity_Index_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712973/310-libre.pdf?1676478373=\u0026response-content-disposition=attachment%3B+filename%3DBiological_Turbulence_Intensity_Index_fo.pdf\u0026Expires=1732764042\u0026Signature=dOrwKM16C984XyOdc3KxG9gViWM34inFULuTpXrUoFgSTM0oXlCAyRPIF1z0DkVhIUijN2z-MfAExe4FIreRCpeFVaYKOTWhmXeLBAHeriqXMuobPUQPMCNlX8Qn~CPkrcoWSy2s3GeLLmbXvC~JzzkgasX563d7WH4EazYgX6ZSJmrKLxnXn-Q1~BDufVNNaDinwISpXcQBQzjqykH0EHfL8sqYbPmwvWT3GkDhYa~i9286P5ycWoPEJncBqKZUzhkQUJlweZCOD2K5kVilt7FC0V9kCDP-qaUZLDWoaYMNc65NQDYwcd1oP0VMdX0QILjkJUgHYQwFe6QQY3kexQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712973,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712973/thumbnails/1.jpg","file_name":"310.pdf","download_url":"https://www.academia.edu/attachments/98712973/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Biological_Turbulence_Intensity_Index_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712973/310-libre.pdf?1676478373=\u0026response-content-disposition=attachment%3B+filename%3DBiological_Turbulence_Intensity_Index_fo.pdf\u0026Expires=1732764042\u0026Signature=dOrwKM16C984XyOdc3KxG9gViWM34inFULuTpXrUoFgSTM0oXlCAyRPIF1z0DkVhIUijN2z-MfAExe4FIreRCpeFVaYKOTWhmXeLBAHeriqXMuobPUQPMCNlX8Qn~CPkrcoWSy2s3GeLLmbXvC~JzzkgasX563d7WH4EazYgX6ZSJmrKLxnXn-Q1~BDufVNNaDinwISpXcQBQzjqykH0EHfL8sqYbPmwvWT3GkDhYa~i9286P5ycWoPEJncBqKZUzhkQUJlweZCOD2K5kVilt7FC0V9kCDP-qaUZLDWoaYMNc65NQDYwcd1oP0VMdX0QILjkJUgHYQwFe6QQY3kexQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":383830,"name":"Lamprey","url":"https://www.academia.edu/Documents/in/Lamprey"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959718"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959718/Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin"><img alt="Research paper thumbnail of Power law scaling model predicts N2O emissions along the Upper Mississippi River basin" class="work-thumbnail" src="https://attachments.academia-assets.com/98712974/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959718/Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin">Power law scaling model predicts N2O emissions along the Upper Mississippi River basin</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and respo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and responsible for stratospheric ozone destruction. A significant fraction of N2O emissions to the atmosphere is from rivers. Reliable catchment-scale estimates of these emissions require both high-resolution field data and suitable models able to capture the main processes controlling nitrogen transformation within surface and subsurface riverine environments. Here, we test and validate a recently proposed parsimonious, yet effective, model to predict riverine N2O fluxes along the main stem of the Upper Mississippi River (UMR). The model parameterize N2O emissions by means of two denitrification Damk枚hler numbers; one accounting for processes occurringwithin the hyporheic and benthic zones, and the other one within the water column, as a function of river size. Comparison of predicted N2O gradients between water and air (螖N2O) with those quantified from field measurements validates the predicti...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8c63f9dae1cfa96ab28b9998473b8c02" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712974,"asset_id":96959718,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712974/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959718"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959718"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959718; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959718]").text(description); $(".js-view-count[data-work-id=96959718]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959718; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959718']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959718, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8c63f9dae1cfa96ab28b9998473b8c02" } } $('.js-work-strip[data-work-id=96959718]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959718,"title":"Power law scaling model predicts N2O emissions along the Upper Mississippi River basin","translated_title":"","metadata":{"abstract":"Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and responsible for stratospheric ozone destruction. A significant fraction of N2O emissions to the atmosphere is from rivers. Reliable catchment-scale estimates of these emissions require both high-resolution field data and suitable models able to capture the main processes controlling nitrogen transformation within surface and subsurface riverine environments. Here, we test and validate a recently proposed parsimonious, yet effective, model to predict riverine N2O fluxes along the main stem of the Upper Mississippi River (UMR). The model parameterize N2O emissions by means of two denitrification Damk枚hler numbers; one accounting for processes occurringwithin the hyporheic and benthic zones, and the other one within the water column, as a function of river size. Comparison of predicted N2O gradients between water and air (螖N2O) with those quantified from field measurements validates the predicti...","publisher":"Center for Open Science","publication_date":{"day":null,"month":null,"year":2020,"errors":{}}},"translated_abstract":"Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and responsible for stratospheric ozone destruction. A significant fraction of N2O emissions to the atmosphere is from rivers. Reliable catchment-scale estimates of these emissions require both high-resolution field data and suitable models able to capture the main processes controlling nitrogen transformation within surface and subsurface riverine environments. Here, we test and validate a recently proposed parsimonious, yet effective, model to predict riverine N2O fluxes along the main stem of the Upper Mississippi River (UMR). The model parameterize N2O emissions by means of two denitrification Damk枚hler numbers; one accounting for processes occurringwithin the hyporheic and benthic zones, and the other one within the water column, as a function of river size. Comparison of predicted N2O gradients between water and air (螖N2O) with those quantified from field measurements validates the predicti...","internal_url":"https://www.academia.edu/96959718/Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin","translated_internal_url":"","created_at":"2023-02-15T08:01:29.874-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712974,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712974/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/98712974/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Power_law_scaling_model_predicts_N2O_emi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712974/download-libre.pdf?1676478711=\u0026response-content-disposition=attachment%3B+filename%3DPower_law_scaling_model_predicts_N2O_emi.pdf\u0026Expires=1732764042\u0026Signature=Yz7gR2C4FvKNyp4lFnr5ySpspNnqj3Q-h2WAv1jUetdGwm9YX-aD62unfOBh93KwoNw578id289tjNM1cDN~2x7dPKnMootHAwP486hR8YkJtINaazAqfJxp7QN4Xahi0L4BmODi30yMITAYC11jEa5gZC~GZyabR9OwO7haqI1Ixuj49j63lfZFnbIJaZX7zrDTFI0CU--ioBk-3j0K-pRB5hxqjyy9iPUEmtpcybZmuVhQqS0UhiEGLlUGNj6eIjzx4AaK~hC0HTo2V0eIhA3U5bjyAPrfOKAcp8JwZGoAv0pcwFGVVabMi0Sa7BPZVxSwaMteoBTz4KxNir9H8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin","translated_slug":"","page_count":32,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712974,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712974/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/98712974/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Power_law_scaling_model_predicts_N2O_emi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712974/download-libre.pdf?1676478711=\u0026response-content-disposition=attachment%3B+filename%3DPower_law_scaling_model_predicts_N2O_emi.pdf\u0026Expires=1732764042\u0026Signature=Yz7gR2C4FvKNyp4lFnr5ySpspNnqj3Q-h2WAv1jUetdGwm9YX-aD62unfOBh93KwoNw578id289tjNM1cDN~2x7dPKnMootHAwP486hR8YkJtINaazAqfJxp7QN4Xahi0L4BmODi30yMITAYC11jEa5gZC~GZyabR9OwO7haqI1Ixuj49j63lfZFnbIJaZX7zrDTFI0CU--ioBk-3j0K-pRB5hxqjyy9iPUEmtpcybZmuVhQqS0UhiEGLlUGNj6eIjzx4AaK~hC0HTo2V0eIhA3U5bjyAPrfOKAcp8JwZGoAv0pcwFGVVabMi0Sa7BPZVxSwaMteoBTz4KxNir9H8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":112950,"name":"Denitrification","url":"https://www.academia.edu/Documents/in/Denitrification"},{"id":251654,"name":"Greenhouse Gas","url":"https://www.academia.edu/Documents/in/Greenhouse_Gas"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959717"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959717/Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes"><img alt="Research paper thumbnail of Was That Assumption Necessary? Reconsidering Boundary Conditions for Analytical Solutions to Estimate Streambed Fluxes" class="work-thumbnail" src="https://attachments.academia-assets.com/98712975/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959717/Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes">Was That Assumption Necessary? Reconsidering Boundary Conditions for Analytical Solutions to Estimate Streambed Fluxes</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ee159fe14edb1a4916fd00e5541e2d4d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712975,"asset_id":96959717,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712975/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959717"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959717"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959717; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959717]").text(description); $(".js-view-count[data-work-id=96959717]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959717; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959717']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959717, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ee159fe14edb1a4916fd00e5541e2d4d" } } $('.js-work-strip[data-work-id=96959717]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959717,"title":"Was That Assumption Necessary? Reconsidering Boundary Conditions for Analytical Solutions to Estimate Streambed Fluxes","translated_title":"","metadata":{"publisher":"American Geophysical Union (AGU)","grobid_abstract":"Two common refrains about using the one-dimensional advection diffusion equation to estimate fluid fluxes and thermal conductivity from temperature time series in streambeds are that the solution assumes that (1) the surface boundary condition is a sine wave or nearly so, and (2) there is no gradient in mean temperature with depth. Although the mathematical posing of the problem in the original solution to the problem might lead one to believe these constraints exist, the perception that they are a source of error is a fallacy. Here we develop a mathematical proof demonstrating the equivalence of the solution as developed based on an arbitrary (Fourier integral) surface temperature forcing when evaluated at a single given frequency versus that derived considering a single frequency from the beginning. The implication is that any single frequency can be used in the frequency-domain solutions to estimate thermal diffusivity and 1-D fluid flux in streambeds, even if the forcing has multiple frequencies. This means that diurnal variations with asymmetric shapes or gradients in the mean temperature with depth are not actually assumptions, and deviations from them should not cause errors in estimates. Given this clarification, we further explore the potential for using information at multiple frequencies to augment the information derived from time series of temperature. Plain Language Summary Measuring temperature over time at different depths in streambeds has become a common practice for estimating infiltration into streambeds or upwelling water rates. These values are important for fish eggs, stream-bottom insects, filtering of pollutants in streams, and managing water resources. It has often been assumed that real-life temperature fluctuations, which are a bit noisy and only look approximately like sine waves, caused errors in these calculations. It was also thought that a warm stream flowing above cold groundwater (another common situation) could cause errors. The mathematical derivations in this paper and accompanying laboratory work show that neither of these assumed sources of error actually cause errors. This is good news, as it crosses two suspects off the list when we try to trace errors, and we can turn our attention toward more serious issues when thinking about how to improve these calculations. Key Points: ''Perfect'' sine waves and zero gradient in mean temperature are not assumptions of temperature-tracer methods to estimate streambed fluxes The amplitude-phase solution can be used with one or multiple frequencies when using the Fourier transform Only a single frequency is needed to solve for j e and v t but use of other frequencies is possible as well","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Water Resources Research","grobid_abstract_attachment_id":98712975},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959717/Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes","translated_internal_url":"","created_at":"2023-02-15T08:01:29.700-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712975,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712975/thumbnails/1.jpg","file_name":"2017WR020618.pdf","download_url":"https://www.academia.edu/attachments/98712975/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Was_That_Assumption_Necessary_Reconsider.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712975/2017WR020618-libre.pdf?1676478391=\u0026response-content-disposition=attachment%3B+filename%3DWas_That_Assumption_Necessary_Reconsider.pdf\u0026Expires=1732764042\u0026Signature=Bu9LuGxY7zif~vLvULDCooQtwS8Y0ZplqtVqz78QC9pA1BjpamS3X2Vbj3E2wUzhJxM77lZ087RXxK-voUQrCgJUySLPYJg1vTIpHu9eSvNsPpKYY6wc6dTtgJoRq3oGaqnNnyW2PPimP0S8pFGK8rrdk7Y0CtHTDf1GGTGV~xaHkClYep7YlfwfZKSqqj2XGfqarkxGvQBrZHSIIzaUrD3RSCCSlIyLKOp94JaVZL2a4B2BUezzWqJrDBnKwwpEeVcopQgX585Ma5CRDLbbIUs9vPwGLBI2eI7VQRsaAFRJ79xbKycqYBFdx12zsSCOoxXcWDvGpCf3Bv91orV3QQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes","translated_slug":"","page_count":20,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712975,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712975/thumbnails/1.jpg","file_name":"2017WR020618.pdf","download_url":"https://www.academia.edu/attachments/98712975/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Was_That_Assumption_Necessary_Reconsider.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712975/2017WR020618-libre.pdf?1676478391=\u0026response-content-disposition=attachment%3B+filename%3DWas_That_Assumption_Necessary_Reconsider.pdf\u0026Expires=1732764042\u0026Signature=Bu9LuGxY7zif~vLvULDCooQtwS8Y0ZplqtVqz78QC9pA1BjpamS3X2Vbj3E2wUzhJxM77lZ087RXxK-voUQrCgJUySLPYJg1vTIpHu9eSvNsPpKYY6wc6dTtgJoRq3oGaqnNnyW2PPimP0S8pFGK8rrdk7Y0CtHTDf1GGTGV~xaHkClYep7YlfwfZKSqqj2XGfqarkxGvQBrZHSIIzaUrD3RSCCSlIyLKOp94JaVZL2a4B2BUezzWqJrDBnKwwpEeVcopQgX585Ma5CRDLbbIUs9vPwGLBI2eI7VQRsaAFRJ79xbKycqYBFdx12zsSCOoxXcWDvGpCf3Bv91orV3QQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":4526,"name":"Water resources","url":"https://www.academia.edu/Documents/in/Water_resources"},{"id":27659,"name":"Applied Economics","url":"https://www.academia.edu/Documents/in/Applied_Economics"}],"urls":[{"id":29008344,"url":"http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017WR020618/fullpdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959716"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959716/A_novel_fiber_optic_system_to_map_dissolved_oxygen_concentrations_continuously_within_submerged_sediments"><img alt="Research paper thumbnail of A novel fiber optic system to map dissolved oxygen concentrations continuously within submerged sediments" class="work-thumbnail" src="https://attachments.academia-assets.com/98712971/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959716/A_novel_fiber_optic_system_to_map_dissolved_oxygen_concentrations_continuously_within_submerged_sediments">A novel fiber optic system to map dissolved oxygen concentrations continuously within submerged sediments</a></div><div class="wp-workCard_item"><span>Journal of Applied Water Engineering and Research</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c09962b7479b1b9f2d056f7900a2d85c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712971,"asset_id":96959716,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712971/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959716"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959716"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959716; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959716]").text(description); $(".js-view-count[data-work-id=96959716]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959716; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959716']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959716, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c09962b7479b1b9f2d056f7900a2d85c" } } $('.js-work-strip[data-work-id=96959716]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959716,"title":"A novel fiber optic system to map dissolved oxygen concentrations continuously within submerged sediments","translated_title":"","metadata":{"publisher":"Informa UK Limited","grobid_abstract":"Dissolved oxygen (DO) concentration is a primary indicator of redox and biogeochemical activity in the hyporheic zone (HZ) of fluvial systems. Due to the inherent difficulty of measuring chemical concentrations in hyporheic sediments, field measurements are typically spatially and temporally sparse. Consequently, conceptualizations of biogeochemical processes within streambed sediment have not been validated but only supported by temporally and spatially sparse observations. To overcome these limitations and provide spatially and temporally high-resolution measurements, we developed a multi-point, in situ DO measurement method based on a multiplexed optical network. This system was deployed in a large-scale flume and a cobble-bed headwater stream. In both settings, pore-water DO concentrations were measured at unprecedented spatial and temporal resolution. Our findings demonstrate the value of high-density DO measurements. These measurements are used to illuminate some shortcomings in the current conceptualization of reactive solute transport in the HZ.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Journal of Applied Water Engineering and Research","grobid_abstract_attachment_id":98712971},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959716/A_novel_fiber_optic_system_to_map_dissolved_oxygen_concentrations_continuously_within_submerged_sediments","translated_internal_url":"","created_at":"2023-02-15T08:01:29.558-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712971,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712971/thumbnails/1.jpg","file_name":"23249676.2019.161149520230215-1-2tyjbq.pdf","download_url":"https://www.academia.edu/attachments/98712971/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_fiber_optic_system_to_map_dissol.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712971/23249676.2019.161149520230215-1-2tyjbq-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_fiber_optic_system_to_map_dissol.pdf\u0026Expires=1732764042\u0026Signature=VVCMNK71dA2Z7D0~BNJvCUs8Q8iQbTqrwq0yuYxw~OpK3dd82u7ju7OQs80FdaGJUUt0vCoXmFWEZpq~RtThw9ZHJe5nZv3Q8v6~nYY5SAQqor1AKFc3VNucziZKFbcw3RiUtRQ3NyacTBtEGwLcpjoJvyOn02~U4tp4H5nwfdmDZAxMxyLxPzHxRi0CQW5vHlzpLXlQFuOdo1oLB82RltEBGyBovWW3h5065Iupj2XY08B3YTM0z7RXmfVkakMJ-kiWHWH99jms7Dopl2I9qGB7EQnyFLQci4K~4AK9aJY3Hk~1nQNyWXQu56~VK-nBIqRjWjpQUeGQsIA-hy-fJw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_novel_fiber_optic_system_to_map_dissolved_oxygen_concentrations_continuously_within_submerged_sediments","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712971,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712971/thumbnails/1.jpg","file_name":"23249676.2019.161149520230215-1-2tyjbq.pdf","download_url":"https://www.academia.edu/attachments/98712971/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_fiber_optic_system_to_map_dissol.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712971/23249676.2019.161149520230215-1-2tyjbq-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_fiber_optic_system_to_map_dissol.pdf\u0026Expires=1732764042\u0026Signature=VVCMNK71dA2Z7D0~BNJvCUs8Q8iQbTqrwq0yuYxw~OpK3dd82u7ju7OQs80FdaGJUUt0vCoXmFWEZpq~RtThw9ZHJe5nZv3Q8v6~nYY5SAQqor1AKFc3VNucziZKFbcw3RiUtRQ3NyacTBtEGwLcpjoJvyOn02~U4tp4H5nwfdmDZAxMxyLxPzHxRi0CQW5vHlzpLXlQFuOdo1oLB82RltEBGyBovWW3h5065Iupj2XY08B3YTM0z7RXmfVkakMJ-kiWHWH99jms7Dopl2I9qGB7EQnyFLQci4K~4AK9aJY3Hk~1nQNyWXQu56~VK-nBIqRjWjpQUeGQsIA-hy-fJw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":404996,"name":"Optical fiber","url":"https://www.academia.edu/Documents/in/Optical_fiber"}],"urls":[{"id":29008343,"url":"https://www.tandfonline.com/doi/pdf/10.1080/23249676.2019.1611495"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959715"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959715/Mapping_river_bathymetries_Evaluating_topobathymetric_LiDAR_survey"><img alt="Research paper thumbnail of Mapping river bathymetries: Evaluating topobathymetric LiDAR survey" class="work-thumbnail" src="https://attachments.academia-assets.com/98712977/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959715/Mapping_river_bathymetries_Evaluating_topobathymetric_LiDAR_survey">Mapping river bathymetries: Evaluating topobathymetric LiDAR survey</a></div><div class="wp-workCard_item"><span>Earth Surface Processes and Landforms</span><span>, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e15f195c7983e4157118726270200ef6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712977,"asset_id":96959715,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712977/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959715"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959715"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959715; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959715]").text(description); $(".js-view-count[data-work-id=96959715]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959715; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959715']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959715, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e15f195c7983e4157118726270200ef6" } } $('.js-work-strip[data-work-id=96959715]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959715,"title":"Mapping river bathymetries: Evaluating topobathymetric LiDAR survey","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"Advances in topobathymetric LiDARs could enable rapid surveys at sub-meter resolution over entire stream networks. This is the first step to improving our knowledge of riverine systems, both their morphology and role in ecosystems. The Experimental Advanced Airborne Research LiDAR B (EAARL-B) system is one such topobathymetric sensor, capable of mapping both terrestrial and aquatic systems. Whereas the original EAARL was developed to survey littoral areas, the new version, EAARL-B, was also designed for riverine systems but has yet to be tested. Thus, we evaluated the ability of EAARL-B to map bathymetry and floodplain topography at sub-meter resolution in a mid-size gravel-bed river. We coupled the EAARL-B survey with highly accurate field surveys (0.03 m vertical accuracy and approximately 0.6 by 0.6 m resolution) of three morphologically distinct reaches, approximately 200 m long 15 m wide, of the Lemhi River (Idaho, USA). Both point-to-point and raster-to-raster comparisons between ground and EAARL-B surveyed elevations show that differences (ground minus EAARL-B surveyed elevations) over the entire submerged topography are small (root mean square error, RMSE, and median absolute error, M, of 0.11 m), and large differences (RMSE, between 0.15 and 0.38 m and similar M) are mainly present in areas with abrupt elevation changes and covered by dense overhanging vegetation. RMSEs are as low as 0.03 m over paved smooth surfaces, 0.07 m in submerged, gradually varying topography, and as large as 0.24 m along banks with and without dense, tall vegetation. EAARL-B performance is chiefly limited by point density in areas with strong elevation gradients and by LiDAR footprint size (0.2 m) in areas with topographic features of similar size as the LiDAR footprint.","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Earth Surface Processes and Landforms","grobid_abstract_attachment_id":98712977},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959715/Mapping_river_bathymetries_Evaluating_topobathymetric_LiDAR_survey","translated_internal_url":"","created_at":"2023-02-15T08:01:29.418-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712977,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712977/thumbnails/1.jpg","file_name":"rmrs_2019_tonina_d001.pdf","download_url":"https://www.academia.edu/attachments/98712977/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mapping_river_bathymetries_Evaluating_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712977/rmrs_2019_tonina_d001-libre.pdf?1676478426=\u0026response-content-disposition=attachment%3B+filename%3DMapping_river_bathymetries_Evaluating_to.pdf\u0026Expires=1732764042\u0026Signature=aZ6GuwkVn1lfnHgOoxFQs-25GSXN4K36yx1nYcFtgDFQ72178MskVWEb7czF~bzt8nffqtvz2nGHqi4p-TDZFrsc~lPcB8ere6bVeyeV7eidQRpL-r1PCeAz-nQYZx7aD18Dopr3SOysCbJGB~ZBiH9Ml44-1IKnidaXuvNr67s-JTFGKwcPFMx71FMeb5e7o5W5dmuJXHDWjH8in14LVwLM0lgjO45lung1eCfeRm4YugCmRTvXmCGvfqnfNy3EL5kfsrm~Ot3jvMMaXG5BMc2wrgdPP7VjLYgrkKmHpM37CF2-dg4-AdywPwBqAt1AQOYDvRk4JRyRef2WemJoRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mapping_river_bathymetries_Evaluating_topobathymetric_LiDAR_survey","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712977,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712977/thumbnails/1.jpg","file_name":"rmrs_2019_tonina_d001.pdf","download_url":"https://www.academia.edu/attachments/98712977/download_file?st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mapping_river_bathymetries_Evaluating_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712977/rmrs_2019_tonina_d001-libre.pdf?1676478426=\u0026response-content-disposition=attachment%3B+filename%3DMapping_river_bathymetries_Evaluating_to.pdf\u0026Expires=1732764042\u0026Signature=aZ6GuwkVn1lfnHgOoxFQs-25GSXN4K36yx1nYcFtgDFQ72178MskVWEb7czF~bzt8nffqtvz2nGHqi4p-TDZFrsc~lPcB8ere6bVeyeV7eidQRpL-r1PCeAz-nQYZx7aD18Dopr3SOysCbJGB~ZBiH9Ml44-1IKnidaXuvNr67s-JTFGKwcPFMx71FMeb5e7o5W5dmuJXHDWjH8in14LVwLM0lgjO45lung1eCfeRm4YugCmRTvXmCGvfqnfNy3EL5kfsrm~Ot3jvMMaXG5BMc2wrgdPP7VjLYgrkKmHpM37CF2-dg4-AdywPwBqAt1AQOYDvRk4JRyRef2WemJoRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":8125,"name":"LiDAR","url":"https://www.academia.edu/Documents/in/LiDAR"},{"id":163827,"name":"Floodplain","url":"https://www.academia.edu/Documents/in/Floodplain"},{"id":769175,"name":"Bathymetry","url":"https://www.academia.edu/Documents/in/Bathymetry"}],"urls":[{"id":29008342,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.4513"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959714"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959714/Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks"><img alt="Research paper thumbnail of Role of surface and subsurface processes in scaling N 2 O emissions along riverine networks" class="work-thumbnail" src="https://attachments.academia-assets.com/98712976/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959714/Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks">Role of surface and subsurface processes in scaling N 2 O emissions along riverine networks</a></div><div class="wp-workCard_item"><span>Proceedings of the National Academy of Sciences</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Significance We show that N 2 O emissions from riverine systems depend on river and stream size a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Significance We show that N 2 O emissions from riverine systems depend on river and stream size and that the primary source of N 2 O production shifts from the hyporheic and benthic zones in streams to the benthic and water column in rivers. This analysis also reveals the primary scaling factors governing riverine N 2 O emissions. Finally, it provides a predictive tool to quantify N 2 O emissions from any riverine environment worldwide, among biomes, land-use types, and climatic conditions, using readily available reach-scale biogeochemical measurements and hydromorphological data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f2b4fbe31c90be2ad2577b8220ee3d70" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712976,"asset_id":96959714,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712976/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959714"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959714"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959714; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959714]").text(description); $(".js-view-count[data-work-id=96959714]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959714; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959714']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959714, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f2b4fbe31c90be2ad2577b8220ee3d70" } } $('.js-work-strip[data-work-id=96959714]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959714,"title":"Role of surface and subsurface processes in scaling N 2 O emissions along riverine networks","translated_title":"","metadata":{"abstract":"Significance We show that N 2 O emissions from riverine systems depend on river and stream size and that the primary source of N 2 O production shifts from the hyporheic and benthic zones in streams to the benthic and water column in rivers. This analysis also reveals the primary scaling factors governing riverine N 2 O emissions. Finally, it provides a predictive tool to quantify N 2 O emissions from any riverine environment worldwide, among biomes, land-use types, and climatic conditions, using readily available reach-scale biogeochemical measurements and hydromorphological data.","publisher":"Proceedings of the National Academy of Sciences","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Proceedings of the National Academy of Sciences"},"translated_abstract":"Significance We show that N 2 O emissions from riverine systems depend on river and stream size and that the primary source of N 2 O production shifts from the hyporheic and benthic zones in streams to the benthic and water column in rivers. This analysis also reveals the primary scaling factors governing riverine N 2 O emissions. Finally, it provides a predictive tool to quantify N 2 O emissions from any riverine environment worldwide, among biomes, land-use types, and climatic conditions, using readily available reach-scale biogeochemical measurements and hydromorphological data.","internal_url":"https://www.academia.edu/96959714/Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks","translated_internal_url":"","created_at":"2023-02-15T08:01:29.234-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712976,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712976/thumbnails/1.jpg","file_name":"Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20.pdf","download_url":"https://www.academia.edu/attachments/98712976/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Role_of_surface_and_subsurface_processes.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712976/Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20-libre.pdf?1676478384=\u0026response-content-disposition=attachment%3B+filename%3DRole_of_surface_and_subsurface_processes.pdf\u0026Expires=1732764042\u0026Signature=H5KX5H-Q--JoKeIF1Ufzn1ZDlYCPeVKc8X6G-2YLFi~dINUdXG4ODXHyMZ047tw4N7q4VbwSWG5QsZiV3Ml6rkcfJwoCZDKAB92FYXTjpuL5~M0z84lMDtsYu2q3qWn2BQpW7vlJA7J~eF7wzzL3FjrdQDFkM3UkXns7wYWsnMlst0NjgtcUi0Yx2y61aN3MixfoiK8n29xpR7yJ6iQvuVuDu7nzkxFIWzhvS8Avg9nab4pT9INDofKm4B2-GybC9u6aBShgSApajb0J2MaczGjhV9fq6sAVwZ3k2Yn1wKHph7T0h0BrmEFYvpu5apv-VjBVL9twd4Tt4uVNMQoAAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712976,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712976/thumbnails/1.jpg","file_name":"Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20.pdf","download_url":"https://www.academia.edu/attachments/98712976/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Role_of_surface_and_subsurface_processes.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712976/Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20-libre.pdf?1676478384=\u0026response-content-disposition=attachment%3B+filename%3DRole_of_surface_and_subsurface_processes.pdf\u0026Expires=1732764042\u0026Signature=H5KX5H-Q--JoKeIF1Ufzn1ZDlYCPeVKc8X6G-2YLFi~dINUdXG4ODXHyMZ047tw4N7q4VbwSWG5QsZiV3Ml6rkcfJwoCZDKAB92FYXTjpuL5~M0z84lMDtsYu2q3qWn2BQpW7vlJA7J~eF7wzzL3FjrdQDFkM3UkXns7wYWsnMlst0NjgtcUi0Yx2y61aN3MixfoiK8n29xpR7yJ6iQvuVuDu7nzkxFIWzhvS8Avg9nab4pT9INDofKm4B2-GybC9u6aBShgSApajb0J2MaczGjhV9fq6sAVwZ3k2Yn1wKHph7T0h0BrmEFYvpu5apv-VjBVL9twd4Tt4uVNMQoAAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":26817,"name":"Algorithm","url":"https://www.academia.edu/Documents/in/Algorithm"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"}],"urls":[{"id":29008341,"url":"https://pnas.org/doi/pdf/10.1073/pnas.1617454114"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959713"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959713/Effects_of_habitat_quality_and_ambient_hyporheic_flows_on_salmon_spawning_site_selection"><img alt="Research paper thumbnail of Effects of habitat quality and ambient hyporheic flows on salmon spawning site selection" class="work-thumbnail" src="https://attachments.academia-assets.com/98712972/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959713/Effects_of_habitat_quality_and_ambient_hyporheic_flows_on_salmon_spawning_site_selection">Effects of habitat quality and ambient hyporheic flows on salmon spawning site selection</a></div><div class="wp-workCard_item"><span>Journal of Geophysical Research: Biogeosciences</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2d7f58c5f06ab8754364eba3292efd8d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712972,"asset_id":96959713,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712972/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959713"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959713"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959713; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959713]").text(description); $(".js-view-count[data-work-id=96959713]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959713; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959713']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959713, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "2d7f58c5f06ab8754364eba3292efd8d" } } $('.js-work-strip[data-work-id=96959713]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959713,"title":"Effects of habitat quality and ambient hyporheic flows on salmon spawning site selection","translated_title":"","metadata":{"publisher":"American Geophysical Union (AGU)","grobid_abstract":"Understanding the role of stream hydrologic and morphologic variables on the selection of spawning sites by salmonid fishes at high resolution across broad scales is needed for effective habitat restoration and protection. Here we used remotely sensed meter-scale channel bathymetry for a 13.5 km reach of Chinook salmon spawning stream in central Idaho to describe habitat quality and set boundary conditions for a two-dimensional surface water model coupled with a three-dimensional hyporheic flux model. Metrics describing ambient hyporheic flow intensity and habitat quality, which is quantified as a function of stream hydraulics and morphology, were compared to the locations of nests built by female salmon. Nest locations were predicted most accurately by habitat quality followed by channel morphology (i.e., riffles location). As a lesser degree than habitat quality, water surface curvature was also a good indicator of spawning location because its intensity can identify riffle morphology. The ambient hyporheic flow predicted at meter-scale resolution was not a strong predictor of redd site selection. Furthermore, the study suggests direct morphological measurements obtained from easily measured channel bathymetry data could enable effective and rapid assessments of salmon spawning channels across broad areas. Mesoscale habitat variables are also sometimes related to spawning sites [Geist and Dauble, 1998]. These variables include factors such as reach-averaged water depth, velocity, Froude number, velocity-depth ratio, water surface slope [","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Journal of Geophysical Research: Biogeosciences","grobid_abstract_attachment_id":98712972},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959713/Effects_of_habitat_quality_and_ambient_hyporheic_flows_on_salmon_spawning_site_selection","translated_internal_url":"","created_at":"2023-02-15T08:01:29.054-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712972,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712972/thumbnails/1.jpg","file_name":"2015JG003079.pdf","download_url":"https://www.academia.edu/attachments/98712972/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effects_of_habitat_quality_and_ambient_h.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712972/2015JG003079-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DEffects_of_habitat_quality_and_ambient_h.pdf\u0026Expires=1732764043\u0026Signature=So7RM7Fmmh574Lbek7z03RM-6vhZnqH8no7fShnBpdij59-Fw-haNk0VbEHGYGsaqgdcxlRCcfgQY0yUAtIq1S3dEW8Z50C26Xa4WUqzbp9vKBTpAYsU0xjq9vJKyeTbyLxvi-Z1gRrjuaacb5hfj4115VrhmOwSpg8LLA9Xf8nIYjHghM3iPXCpMAMTTCG4x0s~Z7zvfF-qFAVzvNW275LyteFVWyjXH46BZFw7K4CrX13-Kx3ESakMT438QuO-msmOAifGvwRMiEnNNRhLqi3evFY5NkVFvOHr5JAg7cMA8tGKjoENWLB7RSGe2Y5Hy5QQqsV-GbQ4ftQARQ1Mqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Effects_of_habitat_quality_and_ambient_hyporheic_flows_on_salmon_spawning_site_selection","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712972,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712972/thumbnails/1.jpg","file_name":"2015JG003079.pdf","download_url":"https://www.academia.edu/attachments/98712972/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effects_of_habitat_quality_and_ambient_h.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712972/2015JG003079-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DEffects_of_habitat_quality_and_ambient_h.pdf\u0026Expires=1732764043\u0026Signature=So7RM7Fmmh574Lbek7z03RM-6vhZnqH8no7fShnBpdij59-Fw-haNk0VbEHGYGsaqgdcxlRCcfgQY0yUAtIq1S3dEW8Z50C26Xa4WUqzbp9vKBTpAYsU0xjq9vJKyeTbyLxvi-Z1gRrjuaacb5hfj4115VrhmOwSpg8LLA9Xf8nIYjHghM3iPXCpMAMTTCG4x0s~Z7zvfF-qFAVzvNW275LyteFVWyjXH46BZFw7K4CrX13-Kx3ESakMT438QuO-msmOAifGvwRMiEnNNRhLqi3evFY5NkVFvOHr5JAg7cMA8tGKjoENWLB7RSGe2Y5Hy5QQqsV-GbQ4ftQARQ1Mqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":85707,"name":"Habitat","url":"https://www.academia.edu/Documents/in/Habitat"},{"id":162130,"name":"River Morphology","url":"https://www.academia.edu/Documents/in/River_Morphology"},{"id":769175,"name":"Bathymetry","url":"https://www.academia.edu/Documents/in/Bathymetry"}],"urls":[{"id":29008340,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/2015JG003079"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959712"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959712/Does_streambed_heterogeneity_matter_for_hyporheic_residence_time_distribution_in_sand_bedded_streams"><img alt="Research paper thumbnail of Does streambed heterogeneity matter for hyporheic residence time distribution in sand-bedded streams?" class="work-thumbnail" src="https://attachments.academia-assets.com/98712970/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959712/Does_streambed_heterogeneity_matter_for_hyporheic_residence_time_distribution_in_sand_bedded_streams">Does streambed heterogeneity matter for hyporheic residence time distribution in sand-bedded streams?</a></div><div class="wp-workCard_item"><span>Advances in Water Resources</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e32771003a92c872b384c11d789485cd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712970,"asset_id":96959712,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712970/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959712"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959712"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959712; 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Heterogeneity of the streambed sediment hydraulic properties has been shown to be potentially an important factor to characterize hyporheic processes. Here, we quantify the importance of streambed heterogeneity on residence times of dune-like bedform induced hyporheic fluxes at the bedform and reach scales. We show that heterogeneity has a net effect of compression of the hyporheic zone (HZ) toward the streambed, changing HZ volume from the homogenous case and thus inducing remarkable differences in the flow field with respect to the homogeneous case. 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The flow properties are typically predicted with numerical modeling whereas stream bed and bank characteristics defined from interpolated DEM generated by topographical surveys and field observations. Information on the effects of flow properties and streambed morphology due to numerical modeling dimensionality on aquatic habitat modeling is limited. Two-dimensional (2D) modeling is becoming the most popular method to map micro-habitat but its application is still limited to short reaches and at steady state conditions. One-dimensional (1D) modeling here used in their extended version as pseudo 2D are still applied in aquatic habitat especially where only crosssectional information is available and the reach domain is several km long. Pseudo 2D modeling predicts velocities along the cross-section from uniform flow relationships and local depths from water surface elevation and local DEM of the streambed. Values between crosssections are then interpolated. The advantage of pseudo 2D modeling over the full 2D is that it is very efficient and can run at the stream network scale under unsteady conditions. Thus there is still some usefulness in comparing the prediction of these two approaches. We hypothesize that pseudo 2D modeling with very fine spaced cross-sections supported by detailed bathymetry may predict micro-habitat distributions similar of those of 2D modeling. Here, we compared local micro-habitat distributions predicted with a pseudo 2D and fully 2D numerical models of a pool-riffle complex and simple reach. Our results showed that difference in WUA derived from the pseudo 2D and fully 2D modeling is small but the difference in spatial distribution of cell suitability can be considerable under a strict cell-by-cell comparison.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"grobid_abstract_attachment_id":98712944},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959728/International_Conference_on_Hydroinformatics_8_1_2014_Effects_Of_2_D_And_1_D_Modeling_On_Mapping_Aquatic_Habitat_Quality","translated_internal_url":"","created_at":"2023-02-15T08:01:31.389-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712944,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712944/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/98712944/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"International_Conference_on_Hydroinforma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712944/viewcontent-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DInternational_Conference_on_Hydroinforma.pdf\u0026Expires=1732764041\u0026Signature=C-jDCMlKPs7gcA8hq~e8Z8o0Ny-tvY6Ysr7cP7J0h~dUa~0yBGzWcDa~ndhrD6KS-6ESdxDKXuf8Ytyt1WHAchMEulBJDj453NF3asjCyo13IhFxI4BsYpWb9eR5fCrFb3lFReC-TGxMLlrNKfIv5AgEiSok8zQSfvWdNmE8j2wEILYsVH0s5yKWmzRey1ejWhD4PnvFZzwoPGX32wlRem-Pj3sZgn8WKtXM49NYVH7jAef5AVXLKdojqHwahRdaZkDRy34YW3eF8-nrJD~p~yTDrqIZaiPTMYckq8CXUHo36oy2hcmVYYCbjEJac85oYpx~c8Ydwr1JDKWwcpzp~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"International_Conference_on_Hydroinformatics_8_1_2014_Effects_Of_2_D_And_1_D_Modeling_On_Mapping_Aquatic_Habitat_Quality","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712944,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712944/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/98712944/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"International_Conference_on_Hydroinforma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712944/viewcontent-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DInternational_Conference_on_Hydroinforma.pdf\u0026Expires=1732764041\u0026Signature=C-jDCMlKPs7gcA8hq~e8Z8o0Ny-tvY6Ysr7cP7J0h~dUa~0yBGzWcDa~ndhrD6KS-6ESdxDKXuf8Ytyt1WHAchMEulBJDj453NF3asjCyo13IhFxI4BsYpWb9eR5fCrFb3lFReC-TGxMLlrNKfIv5AgEiSok8zQSfvWdNmE8j2wEILYsVH0s5yKWmzRey1ejWhD4PnvFZzwoPGX32wlRem-Pj3sZgn8WKtXM49NYVH7jAef5AVXLKdojqHwahRdaZkDRy34YW3eF8-nrJD~p~yTDrqIZaiPTMYckq8CXUHo36oy2hcmVYYCbjEJac85oYpx~c8Ydwr1JDKWwcpzp~Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":98712943,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712943/thumbnails/1.jpg","file_name":"viewcontent.pdf","download_url":"https://www.academia.edu/attachments/98712943/download_file","bulk_download_file_name":"International_Conference_on_Hydroinforma.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712943/viewcontent-libre.pdf?1676478371=\u0026response-content-disposition=attachment%3B+filename%3DInternational_Conference_on_Hydroinforma.pdf\u0026Expires=1732764041\u0026Signature=KnOeByTUD3RmYficutjFF~B32ywIM-WsZz39jNqiVIp4R5Of4MCeGJ8QfeQpiByBYjYgIFoy2jbX9n4Z7mLRZM-SoGPwZsuViOVWwpoyMn5b3~967ifkbyZEVBAuKvC9m6QNjyOxRDUHs79llDAhJJgZV9cjG31c4ZDLYJnO2tb626NwEEuNXyxmUHIFHcuWo2VQh7I0pn36xDiA4dBaVYV0g2htjyP2z-uw948mqAo2rQ2QGyCxh159CgcyGf5xC-Y0WAA6aEJ9umXYEB71B7QH2mOnhWlLOjp8UVHWx4DBj63ODf3TkXdvfNSWr-6gNTyakqXpfYqsJVTrJ2DapQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":29008352,"url":"https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1461\u0026context=cc_conf_hic"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959727"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959727/A_Cascade_Of_Models_To_Guide_Reservoir_Operations_Application_On_The_Deadwood_River_System_Idaho_USA"><img alt="Research paper thumbnail of A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, USA" class="work-thumbnail" src="https://attachments.academia-assets.com/98712940/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959727/A_Cascade_Of_Models_To_Guide_Reservoir_Operations_Application_On_The_Deadwood_River_System_Idaho_USA">A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, USA</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Adaptive management strategies are increasingly being used by resource managers to optimize compl...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Adaptive management strategies are increasingly being used by resource managers to optimize complex water delivery systems at the scale of entire watersheds. A variety of models have been proposed to evaluate systems in a piecemeal approach that often times operate at different spatial and temporal scales and prove difficult to integrate with associated field data. In the Deadwood River system of Central Idaho, a series of cascading models was utilized to examine potential impacts of reservoir operations on endangered resident bull trout. Results from integrating limnologic, temperature, nutrient, hyporheic, and hydraulic models show that reservoir operations must remain dynamic depending upon the hydrologic conditions (wet vs. dry) present during any given year. Assimilating models that operate at various levels within a watershed will become increasingly important as climate change affects the regional hydrology and water resources operations must adjust to meet current and future...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="88024e3cec15015f9afd397f4e15b977" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712940,"asset_id":96959727,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712940/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959727"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959727"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959727; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959727]").text(description); $(".js-view-count[data-work-id=96959727]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959727; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959727']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959727, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "88024e3cec15015f9afd397f4e15b977" } } $('.js-work-strip[data-work-id=96959727]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959727,"title":"A Cascade Of Models To Guide Reservoir Operations: Application On The Deadwood River System, Idaho, USA","translated_title":"","metadata":{"abstract":"Adaptive management strategies are increasingly being used by resource managers to optimize complex water delivery systems at the scale of entire watersheds. A variety of models have been proposed to evaluate systems in a piecemeal approach that often times operate at different spatial and temporal scales and prove difficult to integrate with associated field data. In the Deadwood River system of Central Idaho, a series of cascading models was utilized to examine potential impacts of reservoir operations on endangered resident bull trout. Results from integrating limnologic, temperature, nutrient, hyporheic, and hydraulic models show that reservoir operations must remain dynamic depending upon the hydrologic conditions (wet vs. dry) present during any given year. Assimilating models that operate at various levels within a watershed will become increasingly important as climate change affects the regional hydrology and water resources operations must adjust to meet current and future...","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"Adaptive management strategies are increasingly being used by resource managers to optimize complex water delivery systems at the scale of entire watersheds. A variety of models have been proposed to evaluate systems in a piecemeal approach that often times operate at different spatial and temporal scales and prove difficult to integrate with associated field data. In the Deadwood River system of Central Idaho, a series of cascading models was utilized to examine potential impacts of reservoir operations on endangered resident bull trout. Results from integrating limnologic, temperature, nutrient, hyporheic, and hydraulic models show that reservoir operations must remain dynamic depending upon the hydrologic conditions (wet vs. dry) present during any given year. Assimilating models that operate at various levels within a watershed will become increasingly important as climate change affects the regional hydrology and water resources operations must adjust to meet current and 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profile--work_container" data-work-id="96959726"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959726/Coupled_reservoir_river_systems_Lessons_from_an_integrated_aquatic_ecosystem_assessment"><img alt="Research paper thumbnail of Coupled reservoir-river systems: Lessons from an integrated aquatic ecosystem assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/98712981/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959726/Coupled_reservoir_river_systems_Lessons_from_an_integrated_aquatic_ecosystem_assessment">Coupled reservoir-river systems: Lessons from an integrated aquatic ecosystem assessment</a></div><div class="wp-workCard_item"><span>Journal of Environmental Management</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a9d521fbd3da14275fcea61041eeb40a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712981,"asset_id":96959726,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712981/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0MSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959726"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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$('.js-work-strip[data-work-id=96959726]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959726,"title":"Coupled reservoir-river systems: Lessons from an integrated aquatic ecosystem assessment","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Sustainable reservoir-river management requires balancing complex trade-offs and decision-making to support both human water demands and ecological function. Current numerical simulation and optimization algorithms can guide reservoir-river operations for optimal hydropower production, irrigation, nutrient management, and municipal consumption, yet much less is known about optimization of associated ecosystems. This ten-year study demonstrates an ecosystem assessment approach that links the environmental processes to an ecosystem response in order to evaluate the impact of climatic forcing and reservoir operations on the aquatic ecosystems of a coupled headwater reservoir-river system. The approach uses a series of numerical, statistical, and empirical models to explore reservoir operational flexibility aimed at improving the environmental processes that support aquatic ecosystem function. The results illustrate that understanding the seasonal biogeochemical changes in reservoirs is critical for determining environmental flow releases and the ecological trajectory of both the reservoir and river systems. The coupled models show that reservoir management can improve the ecological function of complex aquatic ecosystems under certain climatic conditions. During dry hydrologic years, the high post-irrigation release can increase the downstream primary and macroinvertebrate production by 99% and 45% respectively. However, this flow release would reduce total fish biomass in the reservoir by 16%, providing management tradeoffs to the different ecosystems. Additionally, low post-irrigation flows during the winter season supports water temperature that can maintain ice cover in the downstream river for improved ecosystem function. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959725"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959725/Experimentally_obtained_velocity_and_pressure_fields_of_an_open_channel_flow_around_a_cylinder_using_RIM_SPIV"><img alt="Research paper thumbnail of Experimentally obtained velocity and pressure fields of an open channel flow around a cylinder using RIM-SPIV" class="work-thumbnail" src="https://attachments.academia-assets.com/98712938/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959725/Experimentally_obtained_velocity_and_pressure_fields_of_an_open_channel_flow_around_a_cylinder_using_RIM_SPIV">Experimentally obtained velocity and pressure fields of an open channel flow around a cylinder using RIM-SPIV</a></div><div class="wp-workCard_item"><span>14th International Symposium on Particle Image Velocimetry</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The quantification of velocity and pressure fields over streambeds is important for predicting se...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The quantification of velocity and pressure fields over streambeds is important for predicting sediment mobility and water exchange between stream and sediment interstitial spaces (Schmeeckle and Nelson, 2003; Tonina and Buffington, 2009). The latter is typically referred as hyporheic flow, which consists of surface water that flows through the streambed sediment pores (Tonina and Buffington, 2009). These fluxes are mainly driven by pressure gradients at the water sediment interface. In this paper, we report an experimental investigation of the time-averaged velocity and pressure field, quantified in a set of laboratory experiments using stereo PIV (Particle Image Velocimetry) with a non-toxic index-matched fluid, for an open channel flow around a barely submerged vertical cylinder as a model for plant stalk over a plane bed of coarse granular sediment, mimicking a stream gravel bed. This is the first time that such a velocity and pressure field is characterized experimentally for a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="56d972544e72900758b32e995c77b141" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712938,"asset_id":96959725,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712938/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959725"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959725"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959725; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959725]").text(description); $(".js-view-count[data-work-id=96959725]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959725; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959725']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959725, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "56d972544e72900758b32e995c77b141" } } $('.js-work-strip[data-work-id=96959725]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959725,"title":"Experimentally obtained velocity and pressure fields of an open channel flow around a cylinder using RIM-SPIV","translated_title":"","metadata":{"abstract":"The quantification of velocity and pressure fields over streambeds is important for predicting sediment mobility and water exchange between stream and sediment interstitial spaces (Schmeeckle and Nelson, 2003; Tonina and Buffington, 2009). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959724"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959724/Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho"><img alt="Research paper thumbnail of Some like it slow: a bioenergetic evaluation of habitat quality for juvenile Chinook salmon in the Lemhi River, Idaho" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959724/Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho">Some like it slow: a bioenergetic evaluation of habitat quality for juvenile Chinook salmon in the Lemhi River, Idaho</a></div><div class="wp-workCard_item"><span>Canadian Journal of Fisheries and Aquatic Sciences</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Management and conservation of freshwater habitat requires fine spatial resolution and watershed-...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Management and conservation of freshwater habitat requires fine spatial resolution and watershed-scale and life-stage-specific methods due to complex linkages among land, climate, water uses, and aquatic organism necessities. In this study, we present a valley-scale microhabitat resolution, process-based bioenergetics approach that combines high-resolution topobathymetric LiDAR survey with two-dimensional hydrodynamic and bioenergetics modeling. We applied the model to investigate the role of lateral habitat, stream morphological complexity, water use, and temperature regimes on aquatic habitat quality distribution of juvenile Chinook salmon (Oncorhynchus tshawytscha) within the Lemhi River (eastern Idaho, USA). Modeling results showed two key aspects: (i) a reduction in diverted flows is not sufficient to improve habitat quality potentially because of a legacy of morphological simplification (directly due to straightening and wood removal and indirectly due to low in-channel flows)...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959724"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959724"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959724; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959724]").text(description); $(".js-view-count[data-work-id=96959724]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959724; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959724']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959724, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=96959724]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959724,"title":"Some like it slow: a bioenergetic evaluation of habitat quality for juvenile Chinook salmon in the Lemhi River, Idaho","translated_title":"","metadata":{"abstract":"Management and conservation of freshwater habitat requires fine spatial resolution and watershed-scale and life-stage-specific methods due to complex linkages among land, climate, water uses, and aquatic organism necessities. 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Modeling results showed two key aspects: (i) a reduction in diverted flows is not sufficient to improve habitat quality potentially because of a legacy of morphological simplification (directly due to straightening and wood removal and indirectly due to low in-channel flows)...","publisher":"Canadian Science Publishing","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Canadian Journal of Fisheries and Aquatic Sciences"},"translated_abstract":"Management and conservation of freshwater habitat requires fine spatial resolution and watershed-scale and life-stage-specific methods due to complex linkages among land, climate, water uses, and aquatic organism necessities. In this study, we present a valley-scale microhabitat resolution, process-based bioenergetics approach that combines high-resolution topobathymetric LiDAR survey with two-dimensional hydrodynamic and bioenergetics modeling. We applied the model to investigate the role of lateral habitat, stream morphological complexity, water use, and temperature regimes on aquatic habitat quality distribution of juvenile Chinook salmon (Oncorhynchus tshawytscha) within the Lemhi River (eastern Idaho, USA). Modeling results showed two key aspects: (i) a reduction in diverted flows is not sufficient to improve habitat quality potentially because of a legacy of morphological simplification (directly due to straightening and wood removal and indirectly due to low in-channel flows)...","internal_url":"https://www.academia.edu/96959724/Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho","translated_internal_url":"","created_at":"2023-02-15T08:01:30.679-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Some_like_it_slow_a_bioenergetic_evaluation_of_habitat_quality_for_juvenile_Chinook_salmon_in_the_Lemhi_River_Idaho","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[],"research_interests":[{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":85707,"name":"Habitat","url":"https://www.academia.edu/Documents/in/Habitat"},{"id":170652,"name":"Fisheries Sciences","url":"https://www.academia.edu/Documents/in/Fisheries_Sciences"},{"id":261821,"name":"Watershed","url":"https://www.academia.edu/Documents/in/Watershed"},{"id":2470834,"name":"Oncorhynchus","url":"https://www.academia.edu/Documents/in/Oncorhynchus"}],"urls":[{"id":29008348,"url":"http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2019-0136"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959722"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959722/Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream"><img alt="Research paper thumbnail of Evaluating the performance of topobathymetric LiDAR to support multi鈥恉imensional flow modelling in a gravel鈥恇ed mountain stream" class="work-thumbnail" src="https://attachments.academia-assets.com/98712980/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959722/Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream">Evaluating the performance of topobathymetric LiDAR to support multi鈥恉imensional flow modelling in a gravel鈥恇ed mountain stream</a></div><div class="wp-workCard_item"><span>Earth Surface Processes and Landforms</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7b58a977999ab619d87e9f37381ec090" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712980,"asset_id":96959722,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712980/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959722"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959722"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959722; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7b58a977999ab619d87e9f37381ec090" } } $('.js-work-strip[data-work-id=96959722]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959722,"title":"Evaluating the performance of topobathymetric LiDAR to support multi鈥恉imensional flow modelling in a gravel鈥恇ed mountain stream","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"Stream biophysical processes are commonly studied using multi-dimensional numerical modelling that quantifies flow hydraulics from which parameters such as habitat suitability, stream carrying capacity, and bed mobility are derived. These analyses would benefit from accurate high-resolution stream bathymetries spanning tens of kilometres of channel, especially in small streams or where navigation is difficult. Traditional ground-based survey methods are limited by survey time, dense vegetation and stream access, and are usually only feasible for short reaches. Conversely, airborne topobathymetric LiDAR surveys may overcome these limitations, although limited research is available on how errors in LiDAR-derived digital elevation models (DEMs) might propagate through flow models. This study investigated the performance of LiDAR-derived topobathymetry in support of multi-dimensional flow modelling and ecohydraulics calculations in two gravel-bedded reaches (approximately 200m long), one morphologically complex and one morphologically simple, and at the segment scale (32km-long stream segment) along a 15m-wide river in central Idaho, USA. We compared metre and sub-metre-resolution DEMs generated from RTK-GPS ground and Experimental Advanced Airborne Research LiDAR-B (EAARL-B) surveys and water depths, velocities, shear stresses, habitat suitability, and bed mobility modelled with two-dimensional (2D) hydraulic models supported by LiDAR and ground-surveyed DEMs. Residual statistics, bias (B), and standard deviation (SD) of the residuals between depth and velocity predicted from the model supported by LiDAR and ground-survey topobathymetries were up to 脌0.04 (B) and 0.09m (SD) for depth and 脌0.09 (B) and 0.20ms 脌1 (SD) for velocity. The accuracy (B = 0.05m), precision (SD = 0.09m), and point density (1 pointm 脌2) of the LiDAR topobathymetric survey (regardless of reach complexity) were sufficient to support 2D hydrodynamic modelling and derivative stream habitat and process analyses, because these statistics were comparable to those of model calibration with B = 0m and SD = 0.04m for water surface elevation and B=0.05ms 脌1 and SD=0.22ms 脌1 for velocity in our investigation.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Earth Surface Processes and Landforms","grobid_abstract_attachment_id":98712980},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959722/Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream","translated_internal_url":"","created_at":"2023-02-15T08:01:30.492-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712980/thumbnails/1.jpg","file_name":"esp.493420230215-1-1tqvdwn.pdf","download_url":"https://www.academia.edu/attachments/98712980/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Evaluating_the_performance_of_topobathym.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712980/esp.493420230215-1-1tqvdwn-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DEvaluating_the_performance_of_topobathym.pdf\u0026Expires=1732764042\u0026Signature=FpVngRr~onOVs0KLc1EfBro69GBkFzGjJV6hsEj6U0icgbctOjX~fqNyBMP2Vcb4JwhxXM-W-KCIzLlw4TDXwXMiFweNUswmZTnYC-fWiH4GPp3~KCfaUZddafgaiJCxVf1cpyhQQXB1GlgVI-n9nEt~WelNKeTBezY8w1Cp139c4W4Act2HnorZDv7qaYWq8FDZYeA~km0wjwyGqfiXSrh3bY2Zt6d10JzrTN0DTiM26nebauSp7y-M-77DTbHV7yNeuzH7-eW-NIAGG03AFmf91ar0ZlnI5iArCs8FXHV0rdgiZs0LL38R53Gw4hdeAThX5uxNZ1JrgMFXpC2sqw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Evaluating_the_performance_of_topobathymetric_LiDAR_to_support_multi_dimensional_flow_modelling_in_a_gravel_bed_mountain_stream","translated_slug":"","page_count":19,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712980,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712980/thumbnails/1.jpg","file_name":"esp.493420230215-1-1tqvdwn.pdf","download_url":"https://www.academia.edu/attachments/98712980/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Evaluating_the_performance_of_topobathym.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712980/esp.493420230215-1-1tqvdwn-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DEvaluating_the_performance_of_topobathym.pdf\u0026Expires=1732764042\u0026Signature=FpVngRr~onOVs0KLc1EfBro69GBkFzGjJV6hsEj6U0icgbctOjX~fqNyBMP2Vcb4JwhxXM-W-KCIzLlw4TDXwXMiFweNUswmZTnYC-fWiH4GPp3~KCfaUZddafgaiJCxVf1cpyhQQXB1GlgVI-n9nEt~WelNKeTBezY8w1Cp139c4W4Act2HnorZDv7qaYWq8FDZYeA~km0wjwyGqfiXSrh3bY2Zt6d10JzrTN0DTiM26nebauSp7y-M-77DTbHV7yNeuzH7-eW-NIAGG03AFmf91ar0ZlnI5iArCs8FXHV0rdgiZs0LL38R53Gw4hdeAThX5uxNZ1JrgMFXpC2sqw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":8125,"name":"LiDAR","url":"https://www.academia.edu/Documents/in/LiDAR"},{"id":284544,"name":"Digital Elevation Model","url":"https://www.academia.edu/Documents/in/Digital_Elevation_Model"},{"id":378051,"name":"Streams","url":"https://www.academia.edu/Documents/in/Streams"}],"urls":[{"id":29008347,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.4934"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959721"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959721/Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor"><img alt="Research paper thumbnail of Post-wildfire riparian forest recovery processes along a regulated river corridor" class="work-thumbnail" src="https://attachments.academia-assets.com/98712979/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959721/Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor">Post-wildfire riparian forest recovery processes along a regulated river corridor</a></div><div class="wp-workCard_item"><span>Forest Ecology and Management</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a391142b46890e47fd7293ff451372c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712979,"asset_id":96959721,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712979/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959721"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959721"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959721; 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The goals of the study were to examine the dominant mechanisms of post-wildfire riparian forest regeneration along the river corridor in relation to upstream dam operations. Results are put in context with trends occurring in the regulated river system over the past 70 years that exemplify post-impoundment floodplain dynamics. Aerial imagery and field surveys were used to examine trends in geomorphic and forest response related to flow regulation, riparian wildfire, and a 50-year flood. Additionally, a one-dimensional sediment transport model was employed to assess seedling recruitment related to local and reach-scale erosional and depositional processes over a five-year period following the wildfire. A conceptual model is presented to illustrate riparian forest response to the interacting influences of fire severity and flood disturbance to help guide post-wildfire riparian forest management activities. Aerial imagery between 1957 and 2011 shows that flow regulation after dam closure led to channel narrowing of 62% of historic active channel width and an associated increase in floodplain tree density of 59%. This expansion of forest cover on the floodplain was at the expense of seedling recruitment habitat for pioneer species in the Salicaceae family that require bare sediment, light exposure, and access to the shallow groundwater. A 2013 riparian wildfire led to substantial top kill on the floodplain that provided a disturbance for potential seedling recruitment. However, dam releases during average and wet hydrologic conditions led to only 5% of the total observed seedling recruitment in the system occurring on the floodplain due to the limited magnitude of flood disturbances following the burn, highlighting the importance of the sequence of environmental flows immediately following riparian wildfire. Alternatively, 95% of seedling recruitment occurred within the active channel and was directly related to sediment transport processes. Post-wildfire related debris flows were responsible for providing the requisite sediment supply to the channel in an otherwise sediment supply-limited, regulated river system. Resultant sediment deposition was responsible for providing 100% of seedling recruitment habitat in the active channel during dam releases in average hydrologic conditions, whereas deposition accounted for 84% and erosion accounted for 16% of observed recruitment habitat during wet hydrologic conditions.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Forest Ecology and Management","grobid_abstract_attachment_id":98712979},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959721/Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor","translated_internal_url":"","created_at":"2023-02-15T08:01:30.292-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712979,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712979/thumbnails/1.jpg","file_name":"j.foreco.2020.11851320230215-1-88c3t1.pdf","download_url":"https://www.academia.edu/attachments/98712979/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Post_wildfire_riparian_forest_recovery_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712979/j.foreco.2020.11851320230215-1-88c3t1-libre.pdf?1676478389=\u0026response-content-disposition=attachment%3B+filename%3DPost_wildfire_riparian_forest_recovery_p.pdf\u0026Expires=1732764042\u0026Signature=doSjfRlArg5w-h1VaOJjfvZKwVJgvhcw98nuthcSJxh2ErCMEqS5G8CuJsN7vvlX7C35TyCq1pODduFrDUSjAdKkmRLbsUZKWSAt9OCT25iWp2BjyOwqUE1bhkUHkNLG5gu5g3gMxnlkqGvyy718Fx-PamIeSysMiHXvYuLvmsujmfVHX5oq6y~5mH2HXWA5cMd2RCyESJWvb~NEvONeDbYUCyUT-QeP8noyY0hMUYfGCAaiYQTDH6zjFQo1G5wNXWx2uT9luIsosjsOXJsECc2W14lfw0K-mxvZ833vnLRiUci139twVnVRDT0olzpe7DIGIfU4RJUbEbHMF1sjag__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Post_wildfire_riparian_forest_recovery_processes_along_a_regulated_river_corridor","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712979,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712979/thumbnails/1.jpg","file_name":"j.foreco.2020.11851320230215-1-88c3t1.pdf","download_url":"https://www.academia.edu/attachments/98712979/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Post_wildfire_riparian_forest_recovery_p.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712979/j.foreco.2020.11851320230215-1-88c3t1-libre.pdf?1676478389=\u0026response-content-disposition=attachment%3B+filename%3DPost_wildfire_riparian_forest_recovery_p.pdf\u0026Expires=1732764042\u0026Signature=doSjfRlArg5w-h1VaOJjfvZKwVJgvhcw98nuthcSJxh2ErCMEqS5G8CuJsN7vvlX7C35TyCq1pODduFrDUSjAdKkmRLbsUZKWSAt9OCT25iWp2BjyOwqUE1bhkUHkNLG5gu5g3gMxnlkqGvyy718Fx-PamIeSysMiHXvYuLvmsujmfVHX5oq6y~5mH2HXWA5cMd2RCyESJWvb~NEvONeDbYUCyUT-QeP8noyY0hMUYfGCAaiYQTDH6zjFQo1G5wNXWx2uT9luIsosjsOXJsECc2W14lfw0K-mxvZ833vnLRiUci139twVnVRDT0olzpe7DIGIfU4RJUbEbHMF1sjag__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":7653,"name":"Forest Ecology And Management","url":"https://www.academia.edu/Documents/in/Forest_Ecology_And_Management"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":388939,"name":"Riparian forest","url":"https://www.academia.edu/Documents/in/Riparian_forest"}],"urls":[{"id":29008346,"url":"https://api.elsevier.com/content/article/PII:S0378112720312822?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959720"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959720/Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions"><img alt="Research paper thumbnail of Monitoring Streambed Scour/Deposition Under Nonideal Temperature Signal and Flood Conditions" class="work-thumbnail" src="https://attachments.academia-assets.com/98712978/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959720/Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions">Monitoring Streambed Scour/Deposition Under Nonideal Temperature Signal and Flood Conditions</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac6db9935ef5aa07c32310da0436a22a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712978,"asset_id":96959720,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712978/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959720"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959720"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959720; 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Previous research showed proof of concept that analysis of paired temperature signals of stream and pore waters can simultaneously provide monitoring scour and deposition, stream sediment thermal regime, and seepage velocity information. However, it did not address challenges often associated with natural systems, including non-ideal temperature variations (low amplitude, non-sinusoidal signal and vertical thermal gradients) and natural flooding conditions on monitoring scour and deposition processes over time. Here, we addressed this knowledge gap by testing the proposed thermal scour-deposition chain (TSDC) methodology, with laboratory experiments to test the impact of non-ideal temperature signals under a range of seepage velocities and with a field application during a pulse flood. Both analyses showed excellent match between surveyed and temperaturederived bed elevation changes even under very low temperature signal amplitudes (less than 1掳C), non-ideal signal shape (sawtooth shape) and strong and changing vertical thermal gradients (4掳C/m). Root mean square errors on predicting the change in streambed elevations This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as an 'Accepted Article',","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Water Resources Research","grobid_abstract_attachment_id":98712978},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959720/Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions","translated_internal_url":"","created_at":"2023-02-15T08:01:30.120-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712978/thumbnails/1.jpg","file_name":"2017WR02063220230215-1-1r51o6u.pdf","download_url":"https://www.academia.edu/attachments/98712978/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Monitoring_Streambed_Scour_Deposition_Un.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712978/2017WR02063220230215-1-1r51o6u-libre.pdf?1676478412=\u0026response-content-disposition=attachment%3B+filename%3DMonitoring_Streambed_Scour_Deposition_Un.pdf\u0026Expires=1732764042\u0026Signature=PgIz2gj8IEovslNWH005tCVFDhpZjFZzsmXVR5Tu899PuedJX8SrJCdzn6SqnvsWZSJVS55dmydB0PhE~DUvZsyyQmQ9VhTe3qAlGrgmuvGk34O9z1-yZQ7V5aVTNJoIA3koQdXZjh-soUL4jW5t9KtDRzwlcCiqKnbpNiM~La3P-sHGyh0Bc6VTkkaGEbuQop-D1uvilcsFANGEO4UL-IvsOMQme3-ZMaizLHC0IPciNtKdVBSMjkh7B8FkSxwAPynUT2QaIrSaHKBPjuN8jbH55TYIWBXUZZUVWoTI0VzIvhHJhYyrh8n1n6YUBNYJKN-PzzsV8VuonLZL~mqKWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Monitoring_Streambed_Scour_Deposition_Under_Nonideal_Temperature_Signal_and_Flood_Conditions","translated_slug":"","page_count":40,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712978,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712978/thumbnails/1.jpg","file_name":"2017WR02063220230215-1-1r51o6u.pdf","download_url":"https://www.academia.edu/attachments/98712978/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Monitoring_Streambed_Scour_Deposition_Un.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712978/2017WR02063220230215-1-1r51o6u-libre.pdf?1676478412=\u0026response-content-disposition=attachment%3B+filename%3DMonitoring_Streambed_Scour_Deposition_Un.pdf\u0026Expires=1732764042\u0026Signature=PgIz2gj8IEovslNWH005tCVFDhpZjFZzsmXVR5Tu899PuedJX8SrJCdzn6SqnvsWZSJVS55dmydB0PhE~DUvZsyyQmQ9VhTe3qAlGrgmuvGk34O9z1-yZQ7V5aVTNJoIA3koQdXZjh-soUL4jW5t9KtDRzwlcCiqKnbpNiM~La3P-sHGyh0Bc6VTkkaGEbuQop-D1uvilcsFANGEO4UL-IvsOMQme3-ZMaizLHC0IPciNtKdVBSMjkh7B8FkSxwAPynUT2QaIrSaHKBPjuN8jbH55TYIWBXUZZUVWoTI0VzIvhHJhYyrh8n1n6YUBNYJKN-PzzsV8VuonLZL~mqKWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":4526,"name":"Water resources","url":"https://www.academia.edu/Documents/in/Water_resources"},{"id":27659,"name":"Applied Economics","url":"https://www.academia.edu/Documents/in/Applied_Economics"},{"id":192294,"name":"Sediment","url":"https://www.academia.edu/Documents/in/Sediment"},{"id":1554800,"name":"Amplitude","url":"https://www.academia.edu/Documents/in/Amplitude"},{"id":3647976,"name":"Flood Myth","url":"https://www.academia.edu/Documents/in/Flood_Myth"}],"urls":[{"id":29008345,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/2017WR020632"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959719"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959719/Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways"><img alt="Research paper thumbnail of Biological Turbulence Intensity Index for Pacific Lamprey Passage of Artificial Fishways" class="work-thumbnail" src="https://attachments.academia-assets.com/98712973/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959719/Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways">Biological Turbulence Intensity Index for Pacific Lamprey Passage of Artificial Fishways</a></div><div class="wp-workCard_item"><span>38th IAHR World Congress - "Water: Connecting the World"</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="051a648100b44ee72558181a47d547f1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712973,"asset_id":96959719,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712973/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959719"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959719"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959719; 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Several quantities have been previously proposed as predictors of fish passage success. These include mean turbulence kinematic energy, turbulence intensity, vorticity, work and power. However, these quantities do not provide univocal results. Here, we present a novel biologically significant turbulence intensity metric, Ibio. We define Ibio as the ratio between the root square of total kinematic turbulence energy per unit mass and a biological velocity threshold significant for any selected species of interest. We tested this index for predicting the difficulty of passage conditions for Pacific Lampreys (Entosphenus tridentatus) when passing a vertical slot structure. Pacific Lampreys are anadromous, and migrate both toward the ocean and back to their native spawning grounds in the tributaries of the Columbia River, where their migration is challenged by several dams and reservoirs. Previous observations suggest that serpentine weir sections in the upper fishways with high turbulence are a bottleneck for this species. We conducted a set of flume experiments with a vertical slot structure where lamprey behavioral observations were coupled with measurements of the flow field for three different mean flow velocities, three slot lengths and two turbulence treatments. Our analysis shows that our turbulence intensity index, Ibio, performs better than metrics of work and power when predicting the difficulty of lamprey passage conditions.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"38th IAHR World Congress - \"Water: Connecting the World\"","grobid_abstract_attachment_id":98712973},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959719/Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways","translated_internal_url":"","created_at":"2023-02-15T08:01:30.002-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712973,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712973/thumbnails/1.jpg","file_name":"310.pdf","download_url":"https://www.academia.edu/attachments/98712973/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Biological_Turbulence_Intensity_Index_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712973/310-libre.pdf?1676478373=\u0026response-content-disposition=attachment%3B+filename%3DBiological_Turbulence_Intensity_Index_fo.pdf\u0026Expires=1732764042\u0026Signature=dOrwKM16C984XyOdc3KxG9gViWM34inFULuTpXrUoFgSTM0oXlCAyRPIF1z0DkVhIUijN2z-MfAExe4FIreRCpeFVaYKOTWhmXeLBAHeriqXMuobPUQPMCNlX8Qn~CPkrcoWSy2s3GeLLmbXvC~JzzkgasX563d7WH4EazYgX6ZSJmrKLxnXn-Q1~BDufVNNaDinwISpXcQBQzjqykH0EHfL8sqYbPmwvWT3GkDhYa~i9286P5ycWoPEJncBqKZUzhkQUJlweZCOD2K5kVilt7FC0V9kCDP-qaUZLDWoaYMNc65NQDYwcd1oP0VMdX0QILjkJUgHYQwFe6QQY3kexQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Biological_Turbulence_Intensity_Index_for_Pacific_Lamprey_Passage_of_Artificial_Fishways","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712973,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712973/thumbnails/1.jpg","file_name":"310.pdf","download_url":"https://www.academia.edu/attachments/98712973/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Biological_Turbulence_Intensity_Index_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712973/310-libre.pdf?1676478373=\u0026response-content-disposition=attachment%3B+filename%3DBiological_Turbulence_Intensity_Index_fo.pdf\u0026Expires=1732764042\u0026Signature=dOrwKM16C984XyOdc3KxG9gViWM34inFULuTpXrUoFgSTM0oXlCAyRPIF1z0DkVhIUijN2z-MfAExe4FIreRCpeFVaYKOTWhmXeLBAHeriqXMuobPUQPMCNlX8Qn~CPkrcoWSy2s3GeLLmbXvC~JzzkgasX563d7WH4EazYgX6ZSJmrKLxnXn-Q1~BDufVNNaDinwISpXcQBQzjqykH0EHfL8sqYbPmwvWT3GkDhYa~i9286P5ycWoPEJncBqKZUzhkQUJlweZCOD2K5kVilt7FC0V9kCDP-qaUZLDWoaYMNc65NQDYwcd1oP0VMdX0QILjkJUgHYQwFe6QQY3kexQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":383830,"name":"Lamprey","url":"https://www.academia.edu/Documents/in/Lamprey"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959718"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959718/Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin"><img alt="Research paper thumbnail of Power law scaling model predicts N2O emissions along the Upper Mississippi River basin" class="work-thumbnail" src="https://attachments.academia-assets.com/98712974/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959718/Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin">Power law scaling model predicts N2O emissions along the Upper Mississippi River basin</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and respo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and responsible for stratospheric ozone destruction. A significant fraction of N2O emissions to the atmosphere is from rivers. Reliable catchment-scale estimates of these emissions require both high-resolution field data and suitable models able to capture the main processes controlling nitrogen transformation within surface and subsurface riverine environments. Here, we test and validate a recently proposed parsimonious, yet effective, model to predict riverine N2O fluxes along the main stem of the Upper Mississippi River (UMR). The model parameterize N2O emissions by means of two denitrification Damk枚hler numbers; one accounting for processes occurringwithin the hyporheic and benthic zones, and the other one within the water column, as a function of river size. Comparison of predicted N2O gradients between water and air (螖N2O) with those quantified from field measurements validates the predicti...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8c63f9dae1cfa96ab28b9998473b8c02" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712974,"asset_id":96959718,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712974/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959718"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959718"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959718; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959718]").text(description); $(".js-view-count[data-work-id=96959718]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959718; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959718']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959718, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8c63f9dae1cfa96ab28b9998473b8c02" } } $('.js-work-strip[data-work-id=96959718]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959718,"title":"Power law scaling model predicts N2O emissions along the Upper Mississippi River basin","translated_title":"","metadata":{"abstract":"Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and responsible for stratospheric ozone destruction. A significant fraction of N2O emissions to the atmosphere is from rivers. Reliable catchment-scale estimates of these emissions require both high-resolution field data and suitable models able to capture the main processes controlling nitrogen transformation within surface and subsurface riverine environments. Here, we test and validate a recently proposed parsimonious, yet effective, model to predict riverine N2O fluxes along the main stem of the Upper Mississippi River (UMR). The model parameterize N2O emissions by means of two denitrification Damk枚hler numbers; one accounting for processes occurringwithin the hyporheic and benthic zones, and the other one within the water column, as a function of river size. Comparison of predicted N2O gradients between water and air (螖N2O) with those quantified from field measurements validates the predicti...","publisher":"Center for Open Science","publication_date":{"day":null,"month":null,"year":2020,"errors":{}}},"translated_abstract":"Nitrous oxide, N2O, is widely recognized as one of the most important greenhouse gases, and responsible for stratospheric ozone destruction. A significant fraction of N2O emissions to the atmosphere is from rivers. Reliable catchment-scale estimates of these emissions require both high-resolution field data and suitable models able to capture the main processes controlling nitrogen transformation within surface and subsurface riverine environments. Here, we test and validate a recently proposed parsimonious, yet effective, model to predict riverine N2O fluxes along the main stem of the Upper Mississippi River (UMR). The model parameterize N2O emissions by means of two denitrification Damk枚hler numbers; one accounting for processes occurringwithin the hyporheic and benthic zones, and the other one within the water column, as a function of river size. Comparison of predicted N2O gradients between water and air (螖N2O) with those quantified from field measurements validates the predicti...","internal_url":"https://www.academia.edu/96959718/Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin","translated_internal_url":"","created_at":"2023-02-15T08:01:29.874-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712974,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712974/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/98712974/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Power_law_scaling_model_predicts_N2O_emi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712974/download-libre.pdf?1676478711=\u0026response-content-disposition=attachment%3B+filename%3DPower_law_scaling_model_predicts_N2O_emi.pdf\u0026Expires=1732764042\u0026Signature=Yz7gR2C4FvKNyp4lFnr5ySpspNnqj3Q-h2WAv1jUetdGwm9YX-aD62unfOBh93KwoNw578id289tjNM1cDN~2x7dPKnMootHAwP486hR8YkJtINaazAqfJxp7QN4Xahi0L4BmODi30yMITAYC11jEa5gZC~GZyabR9OwO7haqI1Ixuj49j63lfZFnbIJaZX7zrDTFI0CU--ioBk-3j0K-pRB5hxqjyy9iPUEmtpcybZmuVhQqS0UhiEGLlUGNj6eIjzx4AaK~hC0HTo2V0eIhA3U5bjyAPrfOKAcp8JwZGoAv0pcwFGVVabMi0Sa7BPZVxSwaMteoBTz4KxNir9H8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Power_law_scaling_model_predicts_N2O_emissions_along_the_Upper_Mississippi_River_basin","translated_slug":"","page_count":32,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712974,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712974/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/98712974/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Power_law_scaling_model_predicts_N2O_emi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712974/download-libre.pdf?1676478711=\u0026response-content-disposition=attachment%3B+filename%3DPower_law_scaling_model_predicts_N2O_emi.pdf\u0026Expires=1732764042\u0026Signature=Yz7gR2C4FvKNyp4lFnr5ySpspNnqj3Q-h2WAv1jUetdGwm9YX-aD62unfOBh93KwoNw578id289tjNM1cDN~2x7dPKnMootHAwP486hR8YkJtINaazAqfJxp7QN4Xahi0L4BmODi30yMITAYC11jEa5gZC~GZyabR9OwO7haqI1Ixuj49j63lfZFnbIJaZX7zrDTFI0CU--ioBk-3j0K-pRB5hxqjyy9iPUEmtpcybZmuVhQqS0UhiEGLlUGNj6eIjzx4AaK~hC0HTo2V0eIhA3U5bjyAPrfOKAcp8JwZGoAv0pcwFGVVabMi0Sa7BPZVxSwaMteoBTz4KxNir9H8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":112950,"name":"Denitrification","url":"https://www.academia.edu/Documents/in/Denitrification"},{"id":251654,"name":"Greenhouse Gas","url":"https://www.academia.edu/Documents/in/Greenhouse_Gas"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959717"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959717/Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes"><img alt="Research paper thumbnail of Was That Assumption Necessary? Reconsidering Boundary Conditions for Analytical Solutions to Estimate Streambed Fluxes" class="work-thumbnail" src="https://attachments.academia-assets.com/98712975/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959717/Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes">Was That Assumption Necessary? Reconsidering Boundary Conditions for Analytical Solutions to Estimate Streambed Fluxes</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ee159fe14edb1a4916fd00e5541e2d4d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712975,"asset_id":96959717,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712975/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959717"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959717"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959717; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959717]").text(description); $(".js-view-count[data-work-id=96959717]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959717; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959717']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959717, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ee159fe14edb1a4916fd00e5541e2d4d" } } $('.js-work-strip[data-work-id=96959717]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959717,"title":"Was That Assumption Necessary? Reconsidering Boundary Conditions for Analytical Solutions to Estimate Streambed Fluxes","translated_title":"","metadata":{"publisher":"American Geophysical Union (AGU)","grobid_abstract":"Two common refrains about using the one-dimensional advection diffusion equation to estimate fluid fluxes and thermal conductivity from temperature time series in streambeds are that the solution assumes that (1) the surface boundary condition is a sine wave or nearly so, and (2) there is no gradient in mean temperature with depth. Although the mathematical posing of the problem in the original solution to the problem might lead one to believe these constraints exist, the perception that they are a source of error is a fallacy. Here we develop a mathematical proof demonstrating the equivalence of the solution as developed based on an arbitrary (Fourier integral) surface temperature forcing when evaluated at a single given frequency versus that derived considering a single frequency from the beginning. The implication is that any single frequency can be used in the frequency-domain solutions to estimate thermal diffusivity and 1-D fluid flux in streambeds, even if the forcing has multiple frequencies. This means that diurnal variations with asymmetric shapes or gradients in the mean temperature with depth are not actually assumptions, and deviations from them should not cause errors in estimates. Given this clarification, we further explore the potential for using information at multiple frequencies to augment the information derived from time series of temperature. Plain Language Summary Measuring temperature over time at different depths in streambeds has become a common practice for estimating infiltration into streambeds or upwelling water rates. These values are important for fish eggs, stream-bottom insects, filtering of pollutants in streams, and managing water resources. It has often been assumed that real-life temperature fluctuations, which are a bit noisy and only look approximately like sine waves, caused errors in these calculations. It was also thought that a warm stream flowing above cold groundwater (another common situation) could cause errors. The mathematical derivations in this paper and accompanying laboratory work show that neither of these assumed sources of error actually cause errors. This is good news, as it crosses two suspects off the list when we try to trace errors, and we can turn our attention toward more serious issues when thinking about how to improve these calculations. Key Points: ''Perfect'' sine waves and zero gradient in mean temperature are not assumptions of temperature-tracer methods to estimate streambed fluxes The amplitude-phase solution can be used with one or multiple frequencies when using the Fourier transform Only a single frequency is needed to solve for j e and v t but use of other frequencies is possible as well","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Water Resources Research","grobid_abstract_attachment_id":98712975},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959717/Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes","translated_internal_url":"","created_at":"2023-02-15T08:01:29.700-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712975,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712975/thumbnails/1.jpg","file_name":"2017WR020618.pdf","download_url":"https://www.academia.edu/attachments/98712975/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Was_That_Assumption_Necessary_Reconsider.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712975/2017WR020618-libre.pdf?1676478391=\u0026response-content-disposition=attachment%3B+filename%3DWas_That_Assumption_Necessary_Reconsider.pdf\u0026Expires=1732764042\u0026Signature=Bu9LuGxY7zif~vLvULDCooQtwS8Y0ZplqtVqz78QC9pA1BjpamS3X2Vbj3E2wUzhJxM77lZ087RXxK-voUQrCgJUySLPYJg1vTIpHu9eSvNsPpKYY6wc6dTtgJoRq3oGaqnNnyW2PPimP0S8pFGK8rrdk7Y0CtHTDf1GGTGV~xaHkClYep7YlfwfZKSqqj2XGfqarkxGvQBrZHSIIzaUrD3RSCCSlIyLKOp94JaVZL2a4B2BUezzWqJrDBnKwwpEeVcopQgX585Ma5CRDLbbIUs9vPwGLBI2eI7VQRsaAFRJ79xbKycqYBFdx12zsSCOoxXcWDvGpCf3Bv91orV3QQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Was_That_Assumption_Necessary_Reconsidering_Boundary_Conditions_for_Analytical_Solutions_to_Estimate_Streambed_Fluxes","translated_slug":"","page_count":20,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712975,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712975/thumbnails/1.jpg","file_name":"2017WR020618.pdf","download_url":"https://www.academia.edu/attachments/98712975/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Was_That_Assumption_Necessary_Reconsider.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712975/2017WR020618-libre.pdf?1676478391=\u0026response-content-disposition=attachment%3B+filename%3DWas_That_Assumption_Necessary_Reconsider.pdf\u0026Expires=1732764042\u0026Signature=Bu9LuGxY7zif~vLvULDCooQtwS8Y0ZplqtVqz78QC9pA1BjpamS3X2Vbj3E2wUzhJxM77lZ087RXxK-voUQrCgJUySLPYJg1vTIpHu9eSvNsPpKYY6wc6dTtgJoRq3oGaqnNnyW2PPimP0S8pFGK8rrdk7Y0CtHTDf1GGTGV~xaHkClYep7YlfwfZKSqqj2XGfqarkxGvQBrZHSIIzaUrD3RSCCSlIyLKOp94JaVZL2a4B2BUezzWqJrDBnKwwpEeVcopQgX585Ma5CRDLbbIUs9vPwGLBI2eI7VQRsaAFRJ79xbKycqYBFdx12zsSCOoxXcWDvGpCf3Bv91orV3QQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":4526,"name":"Water resources","url":"https://www.academia.edu/Documents/in/Water_resources"},{"id":27659,"name":"Applied Economics","url":"https://www.academia.edu/Documents/in/Applied_Economics"}],"urls":[{"id":29008344,"url":"http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017WR020618/fullpdf"}]}, dispatcherData: dispatcherData }); 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Due to the inherent difficulty of measuring chemical concentrations in hyporheic sediments, field measurements are typically spatially and temporally sparse. Consequently, conceptualizations of biogeochemical processes within streambed sediment have not been validated but only supported by temporally and spatially sparse observations. To overcome these limitations and provide spatially and temporally high-resolution measurements, we developed a multi-point, in situ DO measurement method based on a multiplexed optical network. This system was deployed in a large-scale flume and a cobble-bed headwater stream. In both settings, pore-water DO concentrations were measured at unprecedented spatial and temporal resolution. Our findings demonstrate the value of high-density DO measurements. These measurements are used to illuminate some shortcomings in the current conceptualization of reactive solute transport in the HZ.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Journal of Applied Water Engineering and Research","grobid_abstract_attachment_id":98712971},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959716/A_novel_fiber_optic_system_to_map_dissolved_oxygen_concentrations_continuously_within_submerged_sediments","translated_internal_url":"","created_at":"2023-02-15T08:01:29.558-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712971,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712971/thumbnails/1.jpg","file_name":"23249676.2019.161149520230215-1-2tyjbq.pdf","download_url":"https://www.academia.edu/attachments/98712971/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_fiber_optic_system_to_map_dissol.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712971/23249676.2019.161149520230215-1-2tyjbq-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_fiber_optic_system_to_map_dissol.pdf\u0026Expires=1732764042\u0026Signature=VVCMNK71dA2Z7D0~BNJvCUs8Q8iQbTqrwq0yuYxw~OpK3dd82u7ju7OQs80FdaGJUUt0vCoXmFWEZpq~RtThw9ZHJe5nZv3Q8v6~nYY5SAQqor1AKFc3VNucziZKFbcw3RiUtRQ3NyacTBtEGwLcpjoJvyOn02~U4tp4H5nwfdmDZAxMxyLxPzHxRi0CQW5vHlzpLXlQFuOdo1oLB82RltEBGyBovWW3h5065Iupj2XY08B3YTM0z7RXmfVkakMJ-kiWHWH99jms7Dopl2I9qGB7EQnyFLQci4K~4AK9aJY3Hk~1nQNyWXQu56~VK-nBIqRjWjpQUeGQsIA-hy-fJw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_novel_fiber_optic_system_to_map_dissolved_oxygen_concentrations_continuously_within_submerged_sediments","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712971,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712971/thumbnails/1.jpg","file_name":"23249676.2019.161149520230215-1-2tyjbq.pdf","download_url":"https://www.academia.edu/attachments/98712971/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_novel_fiber_optic_system_to_map_dissol.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712971/23249676.2019.161149520230215-1-2tyjbq-libre.pdf?1676478379=\u0026response-content-disposition=attachment%3B+filename%3DA_novel_fiber_optic_system_to_map_dissol.pdf\u0026Expires=1732764042\u0026Signature=VVCMNK71dA2Z7D0~BNJvCUs8Q8iQbTqrwq0yuYxw~OpK3dd82u7ju7OQs80FdaGJUUt0vCoXmFWEZpq~RtThw9ZHJe5nZv3Q8v6~nYY5SAQqor1AKFc3VNucziZKFbcw3RiUtRQ3NyacTBtEGwLcpjoJvyOn02~U4tp4H5nwfdmDZAxMxyLxPzHxRi0CQW5vHlzpLXlQFuOdo1oLB82RltEBGyBovWW3h5065Iupj2XY08B3YTM0z7RXmfVkakMJ-kiWHWH99jms7Dopl2I9qGB7EQnyFLQci4K~4AK9aJY3Hk~1nQNyWXQu56~VK-nBIqRjWjpQUeGQsIA-hy-fJw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":404996,"name":"Optical fiber","url":"https://www.academia.edu/Documents/in/Optical_fiber"}],"urls":[{"id":29008343,"url":"https://www.tandfonline.com/doi/pdf/10.1080/23249676.2019.1611495"}]}, dispatcherData: dispatcherData }); 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This is the first step to improving our knowledge of riverine systems, both their morphology and role in ecosystems. The Experimental Advanced Airborne Research LiDAR B (EAARL-B) system is one such topobathymetric sensor, capable of mapping both terrestrial and aquatic systems. Whereas the original EAARL was developed to survey littoral areas, the new version, EAARL-B, was also designed for riverine systems but has yet to be tested. Thus, we evaluated the ability of EAARL-B to map bathymetry and floodplain topography at sub-meter resolution in a mid-size gravel-bed river. We coupled the EAARL-B survey with highly accurate field surveys (0.03 m vertical accuracy and approximately 0.6 by 0.6 m resolution) of three morphologically distinct reaches, approximately 200 m long 15 m wide, of the Lemhi River (Idaho, USA). Both point-to-point and raster-to-raster comparisons between ground and EAARL-B surveyed elevations show that differences (ground minus EAARL-B surveyed elevations) over the entire submerged topography are small (root mean square error, RMSE, and median absolute error, M, of 0.11 m), and large differences (RMSE, between 0.15 and 0.38 m and similar M) are mainly present in areas with abrupt elevation changes and covered by dense overhanging vegetation. RMSEs are as low as 0.03 m over paved smooth surfaces, 0.07 m in submerged, gradually varying topography, and as large as 0.24 m along banks with and without dense, tall vegetation. EAARL-B performance is chiefly limited by point density in areas with strong elevation gradients and by LiDAR footprint size (0.2 m) in areas with topographic features of similar size as the LiDAR footprint.","publication_date":{"day":null,"month":null,"year":2018,"errors":{}},"publication_name":"Earth Surface Processes and Landforms","grobid_abstract_attachment_id":98712977},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959715/Mapping_river_bathymetries_Evaluating_topobathymetric_LiDAR_survey","translated_internal_url":"","created_at":"2023-02-15T08:01:29.418-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712977,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712977/thumbnails/1.jpg","file_name":"rmrs_2019_tonina_d001.pdf","download_url":"https://www.academia.edu/attachments/98712977/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mapping_river_bathymetries_Evaluating_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712977/rmrs_2019_tonina_d001-libre.pdf?1676478426=\u0026response-content-disposition=attachment%3B+filename%3DMapping_river_bathymetries_Evaluating_to.pdf\u0026Expires=1732764042\u0026Signature=aZ6GuwkVn1lfnHgOoxFQs-25GSXN4K36yx1nYcFtgDFQ72178MskVWEb7czF~bzt8nffqtvz2nGHqi4p-TDZFrsc~lPcB8ere6bVeyeV7eidQRpL-r1PCeAz-nQYZx7aD18Dopr3SOysCbJGB~ZBiH9Ml44-1IKnidaXuvNr67s-JTFGKwcPFMx71FMeb5e7o5W5dmuJXHDWjH8in14LVwLM0lgjO45lung1eCfeRm4YugCmRTvXmCGvfqnfNy3EL5kfsrm~Ot3jvMMaXG5BMc2wrgdPP7VjLYgrkKmHpM37CF2-dg4-AdywPwBqAt1AQOYDvRk4JRyRef2WemJoRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Mapping_river_bathymetries_Evaluating_topobathymetric_LiDAR_survey","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712977,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712977/thumbnails/1.jpg","file_name":"rmrs_2019_tonina_d001.pdf","download_url":"https://www.academia.edu/attachments/98712977/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Miw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Mapping_river_bathymetries_Evaluating_to.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712977/rmrs_2019_tonina_d001-libre.pdf?1676478426=\u0026response-content-disposition=attachment%3B+filename%3DMapping_river_bathymetries_Evaluating_to.pdf\u0026Expires=1732764042\u0026Signature=aZ6GuwkVn1lfnHgOoxFQs-25GSXN4K36yx1nYcFtgDFQ72178MskVWEb7czF~bzt8nffqtvz2nGHqi4p-TDZFrsc~lPcB8ere6bVeyeV7eidQRpL-r1PCeAz-nQYZx7aD18Dopr3SOysCbJGB~ZBiH9Ml44-1IKnidaXuvNr67s-JTFGKwcPFMx71FMeb5e7o5W5dmuJXHDWjH8in14LVwLM0lgjO45lung1eCfeRm4YugCmRTvXmCGvfqnfNy3EL5kfsrm~Ot3jvMMaXG5BMc2wrgdPP7VjLYgrkKmHpM37CF2-dg4-AdywPwBqAt1AQOYDvRk4JRyRef2WemJoRw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":8125,"name":"LiDAR","url":"https://www.academia.edu/Documents/in/LiDAR"},{"id":163827,"name":"Floodplain","url":"https://www.academia.edu/Documents/in/Floodplain"},{"id":769175,"name":"Bathymetry","url":"https://www.academia.edu/Documents/in/Bathymetry"}],"urls":[{"id":29008342,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.4513"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="96959714"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/96959714/Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks"><img alt="Research paper thumbnail of Role of surface and subsurface processes in scaling N 2 O emissions along riverine networks" class="work-thumbnail" src="https://attachments.academia-assets.com/98712976/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/96959714/Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks">Role of surface and subsurface processes in scaling N 2 O emissions along riverine networks</a></div><div class="wp-workCard_item"><span>Proceedings of the National Academy of Sciences</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Significance We show that N 2 O emissions from riverine systems depend on river and stream size a...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Significance We show that N 2 O emissions from riverine systems depend on river and stream size and that the primary source of N 2 O production shifts from the hyporheic and benthic zones in streams to the benthic and water column in rivers. This analysis also reveals the primary scaling factors governing riverine N 2 O emissions. Finally, it provides a predictive tool to quantify N 2 O emissions from any riverine environment worldwide, among biomes, land-use types, and climatic conditions, using readily available reach-scale biogeochemical measurements and hydromorphological data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f2b4fbe31c90be2ad2577b8220ee3d70" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":98712976,"asset_id":96959714,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/98712976/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="96959714"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="96959714"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96959714; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96959714]").text(description); $(".js-view-count[data-work-id=96959714]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96959714; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96959714']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96959714, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f2b4fbe31c90be2ad2577b8220ee3d70" } } $('.js-work-strip[data-work-id=96959714]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96959714,"title":"Role of surface and subsurface processes in scaling N 2 O emissions along riverine networks","translated_title":"","metadata":{"abstract":"Significance We show that N 2 O emissions from riverine systems depend on river and stream size and that the primary source of N 2 O production shifts from the hyporheic and benthic zones in streams to the benthic and water column in rivers. This analysis also reveals the primary scaling factors governing riverine N 2 O emissions. Finally, it provides a predictive tool to quantify N 2 O emissions from any riverine environment worldwide, among biomes, land-use types, and climatic conditions, using readily available reach-scale biogeochemical measurements and hydromorphological data.","publisher":"Proceedings of the National Academy of Sciences","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Proceedings of the National Academy of Sciences"},"translated_abstract":"Significance We show that N 2 O emissions from riverine systems depend on river and stream size and that the primary source of N 2 O production shifts from the hyporheic and benthic zones in streams to the benthic and water column in rivers. This analysis also reveals the primary scaling factors governing riverine N 2 O emissions. Finally, it provides a predictive tool to quantify N 2 O emissions from any riverine environment worldwide, among biomes, land-use types, and climatic conditions, using readily available reach-scale biogeochemical measurements and hydromorphological data.","internal_url":"https://www.academia.edu/96959714/Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks","translated_internal_url":"","created_at":"2023-02-15T08:01:29.234-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712976,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712976/thumbnails/1.jpg","file_name":"Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20.pdf","download_url":"https://www.academia.edu/attachments/98712976/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Role_of_surface_and_subsurface_processes.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712976/Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20-libre.pdf?1676478384=\u0026response-content-disposition=attachment%3B+filename%3DRole_of_surface_and_subsurface_processes.pdf\u0026Expires=1732764042\u0026Signature=H5KX5H-Q--JoKeIF1Ufzn1ZDlYCPeVKc8X6G-2YLFi~dINUdXG4ODXHyMZ047tw4N7q4VbwSWG5QsZiV3Ml6rkcfJwoCZDKAB92FYXTjpuL5~M0z84lMDtsYu2q3qWn2BQpW7vlJA7J~eF7wzzL3FjrdQDFkM3UkXns7wYWsnMlst0NjgtcUi0Yx2y61aN3MixfoiK8n29xpR7yJ6iQvuVuDu7nzkxFIWzhvS8Avg9nab4pT9INDofKm4B2-GybC9u6aBShgSApajb0J2MaczGjhV9fq6sAVwZ3k2Yn1wKHph7T0h0BrmEFYvpu5apv-VjBVL9twd4Tt4uVNMQoAAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Role_of_surface_and_subsurface_processes_in_scaling_N_2_O_emissions_along_riverine_networks","translated_slug":"","page_count":6,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712976,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712976/thumbnails/1.jpg","file_name":"Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20.pdf","download_url":"https://www.academia.edu/attachments/98712976/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Role_of_surface_and_subsurface_processes.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712976/Marzadri_Dee_Tonina_Bellin_Tank_2017_PNAS_Role_20of_20surface_20and_20subsurface_20processes_20in_20scaling_20N2O_20emissions_20along_20-libre.pdf?1676478384=\u0026response-content-disposition=attachment%3B+filename%3DRole_of_surface_and_subsurface_processes.pdf\u0026Expires=1732764042\u0026Signature=H5KX5H-Q--JoKeIF1Ufzn1ZDlYCPeVKc8X6G-2YLFi~dINUdXG4ODXHyMZ047tw4N7q4VbwSWG5QsZiV3Ml6rkcfJwoCZDKAB92FYXTjpuL5~M0z84lMDtsYu2q3qWn2BQpW7vlJA7J~eF7wzzL3FjrdQDFkM3UkXns7wYWsnMlst0NjgtcUi0Yx2y61aN3MixfoiK8n29xpR7yJ6iQvuVuDu7nzkxFIWzhvS8Avg9nab4pT9INDofKm4B2-GybC9u6aBShgSApajb0J2MaczGjhV9fq6sAVwZ3k2Yn1wKHph7T0h0BrmEFYvpu5apv-VjBVL9twd4Tt4uVNMQoAAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":26817,"name":"Algorithm","url":"https://www.academia.edu/Documents/in/Algorithm"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"}],"urls":[{"id":29008341,"url":"https://pnas.org/doi/pdf/10.1073/pnas.1617454114"}]}, dispatcherData: dispatcherData }); 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Here we used remotely sensed meter-scale channel bathymetry for a 13.5 km reach of Chinook salmon spawning stream in central Idaho to describe habitat quality and set boundary conditions for a two-dimensional surface water model coupled with a three-dimensional hyporheic flux model. Metrics describing ambient hyporheic flow intensity and habitat quality, which is quantified as a function of stream hydraulics and morphology, were compared to the locations of nests built by female salmon. Nest locations were predicted most accurately by habitat quality followed by channel morphology (i.e., riffles location). As a lesser degree than habitat quality, water surface curvature was also a good indicator of spawning location because its intensity can identify riffle morphology. The ambient hyporheic flow predicted at meter-scale resolution was not a strong predictor of redd site selection. Furthermore, the study suggests direct morphological measurements obtained from easily measured channel bathymetry data could enable effective and rapid assessments of salmon spawning channels across broad areas. Mesoscale habitat variables are also sometimes related to spawning sites [Geist and Dauble, 1998]. These variables include factors such as reach-averaged water depth, velocity, Froude number, velocity-depth ratio, water surface slope [","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Journal of Geophysical Research: Biogeosciences","grobid_abstract_attachment_id":98712972},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959713/Effects_of_habitat_quality_and_ambient_hyporheic_flows_on_salmon_spawning_site_selection","translated_internal_url":"","created_at":"2023-02-15T08:01:29.054-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712972,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712972/thumbnails/1.jpg","file_name":"2015JG003079.pdf","download_url":"https://www.academia.edu/attachments/98712972/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effects_of_habitat_quality_and_ambient_h.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712972/2015JG003079-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DEffects_of_habitat_quality_and_ambient_h.pdf\u0026Expires=1732764043\u0026Signature=So7RM7Fmmh574Lbek7z03RM-6vhZnqH8no7fShnBpdij59-Fw-haNk0VbEHGYGsaqgdcxlRCcfgQY0yUAtIq1S3dEW8Z50C26Xa4WUqzbp9vKBTpAYsU0xjq9vJKyeTbyLxvi-Z1gRrjuaacb5hfj4115VrhmOwSpg8LLA9Xf8nIYjHghM3iPXCpMAMTTCG4x0s~Z7zvfF-qFAVzvNW275LyteFVWyjXH46BZFw7K4CrX13-Kx3ESakMT438QuO-msmOAifGvwRMiEnNNRhLqi3evFY5NkVFvOHr5JAg7cMA8tGKjoENWLB7RSGe2Y5Hy5QQqsV-GbQ4ftQARQ1Mqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Effects_of_habitat_quality_and_ambient_hyporheic_flows_on_salmon_spawning_site_selection","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712972,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712972/thumbnails/1.jpg","file_name":"2015JG003079.pdf","download_url":"https://www.academia.edu/attachments/98712972/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Effects_of_habitat_quality_and_ambient_h.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712972/2015JG003079-libre.pdf?1676478376=\u0026response-content-disposition=attachment%3B+filename%3DEffects_of_habitat_quality_and_ambient_h.pdf\u0026Expires=1732764043\u0026Signature=So7RM7Fmmh574Lbek7z03RM-6vhZnqH8no7fShnBpdij59-Fw-haNk0VbEHGYGsaqgdcxlRCcfgQY0yUAtIq1S3dEW8Z50C26Xa4WUqzbp9vKBTpAYsU0xjq9vJKyeTbyLxvi-Z1gRrjuaacb5hfj4115VrhmOwSpg8LLA9Xf8nIYjHghM3iPXCpMAMTTCG4x0s~Z7zvfF-qFAVzvNW275LyteFVWyjXH46BZFw7K4CrX13-Kx3ESakMT438QuO-msmOAifGvwRMiEnNNRhLqi3evFY5NkVFvOHr5JAg7cMA8tGKjoENWLB7RSGe2Y5Hy5QQqsV-GbQ4ftQARQ1Mqg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":85707,"name":"Habitat","url":"https://www.academia.edu/Documents/in/Habitat"},{"id":162130,"name":"River Morphology","url":"https://www.academia.edu/Documents/in/River_Morphology"},{"id":769175,"name":"Bathymetry","url":"https://www.academia.edu/Documents/in/Bathymetry"}],"urls":[{"id":29008340,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/2015JG003079"}]}, dispatcherData: dispatcherData }); 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Heterogeneity of the streambed sediment hydraulic properties has been shown to be potentially an important factor to characterize hyporheic processes. Here, we quantify the importance of streambed heterogeneity on residence times of dune-like bedform induced hyporheic fluxes at the bedform and reach scales. We show that heterogeneity has a net effect of compression of the hyporheic zone (HZ) toward the streambed, changing HZ volume from the homogenous case and thus inducing remarkable differences in the flow field with respect to the homogeneous case. We unravel the physical conditions for which the commonly used homogenous field assumption is applicable for quantifying hyporheic processes thus explaining why predictive measures based on a characteristic residence time, like the Damk枚hler number, are robust in heterogeneous sand bedded streams.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Advances in Water Resources","grobid_abstract_attachment_id":98712970},"translated_abstract":null,"internal_url":"https://www.academia.edu/96959712/Does_streambed_heterogeneity_matter_for_hyporheic_residence_time_distribution_in_sand_bedded_streams","translated_internal_url":"","created_at":"2023-02-15T08:01:28.860-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":33262079,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":98712970,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712970/thumbnails/1.jpg","file_name":"1-s2.0-S0309170816302585-main_202.pdf","download_url":"https://www.academia.edu/attachments/98712970/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Does_streambed_heterogeneity_matter_for.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712970/1-s2.0-S0309170816302585-main_202-libre.pdf?1676478385=\u0026response-content-disposition=attachment%3B+filename%3DDoes_streambed_heterogeneity_matter_for.pdf\u0026Expires=1732764043\u0026Signature=Q3LbYirEwXk~O7FruZ1tjoUEyahcJ25JQF9qN~~NNNfq6XNgxjLriyPjsp9h4gP~Fm8zsfV0AuoAafPXj-WX5~XSdtyCG2b3oXiPURvHAzrkx16FiqAiWufrHyHO5iII56kXjrdq~BsEUv1ymmy8wLgHfZAPR~xHaxohlq7xbpLCfcvUoSrf2Hpgwp5jpKHrZT5tsk8gML8vplM0XufStAwWHCW2fJNYETC69wyx~fSzYEkRYrSCTHl5hm~0xHhbn9rPCO1MA9kUj276Gvf3oW1eGx6XMl459xyMLo9VrsA6doMRIrvty~iSFYqkF0JeV-dEZeShyYA8-BAPrAo3DQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Does_streambed_heterogeneity_matter_for_hyporheic_residence_time_distribution_in_sand_bedded_streams","translated_slug":"","page_count":7,"language":"en","content_type":"Work","owner":{"id":33262079,"first_name":"Daniele","middle_initials":null,"last_name":"Tonina","page_name":"DanieleTonina","domain_name":"uidaho","created_at":"2015-07-22T12:35:15.566-07:00","display_name":"Daniele Tonina","url":"https://uidaho.academia.edu/DanieleTonina"},"attachments":[{"id":98712970,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/98712970/thumbnails/1.jpg","file_name":"1-s2.0-S0309170816302585-main_202.pdf","download_url":"https://www.academia.edu/attachments/98712970/download_file?st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&st=MTczMjc2MDQ0Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Does_streambed_heterogeneity_matter_for.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/98712970/1-s2.0-S0309170816302585-main_202-libre.pdf?1676478385=\u0026response-content-disposition=attachment%3B+filename%3DDoes_streambed_heterogeneity_matter_for.pdf\u0026Expires=1732764043\u0026Signature=Q3LbYirEwXk~O7FruZ1tjoUEyahcJ25JQF9qN~~NNNfq6XNgxjLriyPjsp9h4gP~Fm8zsfV0AuoAafPXj-WX5~XSdtyCG2b3oXiPURvHAzrkx16FiqAiWufrHyHO5iII56kXjrdq~BsEUv1ymmy8wLgHfZAPR~xHaxohlq7xbpLCfcvUoSrf2Hpgwp5jpKHrZT5tsk8gML8vplM0XufStAwWHCW2fJNYETC69wyx~fSzYEkRYrSCTHl5hm~0xHhbn9rPCO1MA9kUj276Gvf3oW1eGx6XMl459xyMLo9VrsA6doMRIrvty~iSFYqkF0JeV-dEZeShyYA8-BAPrAo3DQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":55,"name":"Environmental Engineering","url":"https://www.academia.edu/Documents/in/Environmental_Engineering"},{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":406,"name":"Geology","url":"https://www.academia.edu/Documents/in/Geology"},{"id":4526,"name":"Water resources","url":"https://www.academia.edu/Documents/in/Water_resources"},{"id":378051,"name":"Streams","url":"https://www.academia.edu/Documents/in/Streams"},{"id":983113,"name":"Hyporheic Zone","url":"https://www.academia.edu/Documents/in/Hyporheic_Zone"}],"urls":[{"id":29008339,"url":"https://api.elsevier.com/content/article/PII:S0309170816302585?httpAccept=text/plain"}]}, dispatcherData: dispatcherData }); 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