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class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="125669857" href="https://www.academia.edu/Documents/in/Experimental_Music"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/RenzoRosso1","location":"/RenzoRosso1","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/RenzoRosso1","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Experimental Music"]}" data-trace="false" data-dom-id="Pill-react-component-cb252bca-c054-4ad4-b808-893564ca7626"></div> <div id="Pill-react-component-cb252bca-c054-4ad4-b808-893564ca7626"></div> </a><a data-click-track="profile-user-info-expand-research-interests" 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</a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></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 Renzo Rosso</h3></div><div class="js-work-strip profile--work_container" data-work-id="94546099"><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/94546099/Analysis_of_Spatial_Variability_of_River_Network_Morphology_Flow_and_Potential_Energy"><img alt="Research paper thumbnail of Analysis of Spatial Variability of River Network Morphology, Flow and Potential Energy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972316/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/94546099/Analysis_of_Spatial_Variability_of_River_Network_Morphology_Flow_and_Potential_Energy">Analysis of Spatial Variability of River Network Morphology, Flow and Potential Energy</a></div><div class="wp-workCard_item"><span>Entropy and Energy Dissipation in Water Resources</span><span>, 1992</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Spatial variability of morphological characteristics and flow in river networks, and its relation...</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">Spatial variability of morphological characteristics and flow in river networks, and its relation to power distribution are analytically and empirically investigated. It is assumed, and positively tested, that Horton-type laws describe the downstream change in link morphological and topological characteristics. Accordingly, surrogates to the traditional stream length and area ratios are provided by the link number ratio, and the total link number ratio, respectively. The opposite statistical behaviour of stream and link length, as being dependent and independent variables, respectively, is found to be reversed in the case of link and stream heights. This property leads to an identical trend in the spatial variability of slope in both cases. On the other hand, assessment the of the self-similar model of link altitudinal geometry [Gupta & Waymire, 1989] reveals that previous testing, upon which the model has been refuted by Tarboton et al. [1989] was inadequately performed. However, our results show an increasing structured departure from simple-scaling for the n-th order moments. Finally, using Horton-type laws for height and flow yields the distribution of power to be characterized by a state of maximum spatial uniformity for a given flow quantile, for which the scaling exponent of mean link slope equals the one that describes mean flow pattern. This result is found to be implicitly explained by using the informational entropy principles as introduced by Kapoor [1990] for river networks.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3c1ef64a7df0b0360a8b38292c4504d4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972316,"asset_id":94546099,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972316/download_file?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="94546099"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546099"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546099; 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$(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="94546098"><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/94546098/Testing_the_use_of_reimbursement_data_to_obtain_damage_curves_in_urbanised_areas_the_case_of_the_Piedmont_flood_on_October_2000"><img alt="Research paper thumbnail of Testing the use of reimbursement data to obtain damage curves in urbanised areas: the case of the Piedmont flood on October 2000" class="work-thumbnail" src="https://attachments.academia-assets.com/96972352/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/94546098/Testing_the_use_of_reimbursement_data_to_obtain_damage_curves_in_urbanised_areas_the_case_of_the_Piedmont_flood_on_October_2000">Testing the use of reimbursement data to obtain damage curves in urbanised areas: the case of the Piedmont flood on October 2000</a></div><div class="wp-workCard_item"><span>Journal of Flood Risk Management</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article analyses the assessment of economic damages in urbanised flooded areas by testing th...</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">This article analyses the assessment of economic damages in urbanised flooded areas by testing the use of reimbursement data to obtain damage curves. Data coming from field observation of the 2000 flood in Piedmont, Italy, are used and the influence of local features and topography, as well as urban patterns are studied. Our starting point is the assessment of individual flooded elements, whose damages result from slightly more than 7000 refund claims. Damage functions estimation is carried out by using water depth and flow velocities obtained by 2D inundation model. Results show the relationship of damage versus water depth and versus flow velocity are strongly nonlinear and urban patterns playing a major role in explaining the amount of damage under given conditions. Moreover, results provide useful information for future ex ante estimation of potential flood damages and rewarding risk reductions and management actions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e17ad003503eb958b9ce0cfe4464d75" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972352,"asset_id":94546098,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972352/download_file?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="94546098"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546098"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546098; 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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="94546097"><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/94546097/Safety_of_Italian_dams_in_the_face_of_flood_hazard"><img alt="Research paper thumbnail of Safety of Italian dams in the face of flood hazard" class="work-thumbnail" src="https://attachments.academia-assets.com/96972355/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/94546097/Safety_of_Italian_dams_in_the_face_of_flood_hazard">Safety of Italian dams in the face of flood hazard</a></div><div class="wp-workCard_item"><span>Advances in Water Resources</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7aeef17e8fbc3ba81d2b3f6ca3019322" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972355,"asset_id":94546097,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972355/download_file?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="94546097"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546097"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546097; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546097]").text(description); $(".js-view-count[data-work-id=94546097]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546097; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546097']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "7aeef17e8fbc3ba81d2b3f6ca3019322" } } $('.js-work-strip[data-work-id=94546097]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94546097,"title":"Safety of Italian dams in the face of flood hazard","internal_url":"https://www.academia.edu/94546097/Safety_of_Italian_dams_in_the_face_of_flood_hazard","owner_id":125669857,"coauthors_can_edit":true,"owner":{"id":125669857,"first_name":"Renzo","middle_initials":null,"last_name":"Rosso","page_name":"RenzoRosso1","domain_name":"independent","created_at":"2019-09-09T07:03:03.708-07:00","display_name":"Renzo Rosso","url":"https://independent.academia.edu/RenzoRosso1"},"attachments":[{"id":96972355,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972355/thumbnails/1.jpg","file_name":"Safety_20of_20italian_20dams_20in_20the_20face_20of_20flood_20hazard_11311-968262_Bocchiola.pdf","download_url":"https://www.academia.edu/attachments/96972355/download_file","bulk_download_file_name":"Safety_of_Italian_dams_in_the_face_of_fl.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972355/Safety_20of_20italian_20dams_20in_20the_20face_20of_20flood_20hazard_11311-968262_Bocchiola-libre.pdf?1673171937=\u0026response-content-disposition=attachment%3B+filename%3DSafety_of_Italian_dams_in_the_face_of_fl.pdf\u0026Expires=1740543844\u0026Signature=KiZfuX~Ug7Bx4IrdG-C1B-skWWHOsKhXtFqA2Bd0kBSAldQj6q2ciUUln8t~lMiLb78uCfF9QTXuS0WRfxQXREjK6lOiAWq3WwTzGNfc5y10fM5CKAQLLA13e6zXVdHLeg2j-N2c0P~B-VxiKG6od-CJa3RHVlyZ0ZKqe3nJI16y4LwAy75OWYNgBeMHHV7iYba7uiBY-1NxFcsZ~dA08gWS5X7x4~oCCG~7J8p2W0KCIcnoqzIfTqpXFLi4PlMUyoeY-AcOyFqJlLhydJ6tGYk0xgLNclQKliqyE1iGIpak7S4YQn6YsjwEKC4hGOvrWfq5u~II1ue74QHj2rdn8w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="94546096"><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/94546096/Local_Contributions_to_Infiltration_Excess_Runoff_for_a_Conceptual_Catchment_Scale_Model"><img alt="Research paper thumbnail of Local Contributions to Infiltration Excess Runoff for a Conceptual Catchment Scale Model" class="work-thumbnail" src="https://attachments.academia-assets.com/96972376/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/94546096/Local_Contributions_to_Infiltration_Excess_Runoff_for_a_Conceptual_Catchment_Scale_Model">Local Contributions to Infiltration Excess Runoff for a Conceptual Catchment Scale Model</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The response of a conceptual soil water balance model to storm events is compared to a detailed f...</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 response of a conceptual soil water balance model to storm events is compared to a detailed finite element solution of the one-dimensional Richards equation in order to test the capabilities of the former in calculating the local contributions to infiltration excess runoff in a distributed catchment scale model. Local infiltration excess runoff is computed from ground level precipitation using the time compression approximation and a Philip infiltration capacity curve with Brooks-Corey constitutive equations. The validity of applying the conceptual model for local runoff and soil water balance calculations is investigated by performing numerical experiments over a range of soil types, control volume depths, and initial soil moisture conditions. We find that a good agreement between the conceptual and detailed models is obtained when the gravitational infiltration rate in Philip's formula is set to the saturated hydraulic conductivity, and when percolation from the control volume is updated as a function of the soil moisture content in a stepwise fashion. The comparison between these two models suggests that the simpler (and much less computer-intensive) conceptual water balance technique could be incorporated into distributed models for large scale complex terrains as an efficient means of retaining consideration of spatial variability effects in catchment scale hydrologic simulations. This is illustrated in an application to the Rio Missiaga catchment in the eastern Italian Alps, where the local contributions to surface and subsurface runoff are routed onto a digital elevation model-based conceptual transport network via a simple numerical scheme based on the Muskingum-Cunge method.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5c029a2835c34c8223dda44b5007447f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972376,"asset_id":94546096,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972376/download_file?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="94546096"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546096"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546096; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546096]").text(description); $(".js-view-count[data-work-id=94546096]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546096; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546096']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="94546095"><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/94546095/Future_Hydrological_Regimes_in_the_Upper_Indus_Basin_A_Case_Study_from_a_High_Altitude_Glacierized_Catchment"><img alt="Research paper thumbnail of Future Hydrological Regimes in the Upper Indus Basin: A Case Study from a High-Altitude Glacierized Catchment" class="work-thumbnail" src="https://attachments.academia-assets.com/96972351/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/94546095/Future_Hydrological_Regimes_in_the_Upper_Indus_Basin_A_Case_Study_from_a_High_Altitude_Glacierized_Catchment">Future Hydrological Regimes in the Upper Indus Basin: A Case Study from a High-Altitude Glacierized Catchment</a></div><div class="wp-workCard_item"><span>Journal of Hydrometeorology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The mountain regions of the Hindu Kush, Karakoram, and Himalayas (HKH) are considered Earth’s “th...</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 mountain regions of the Hindu Kush, Karakoram, and Himalayas (HKH) are considered Earth’s “third pole,” and water from there plays an essential role for downstream populations. The dynamics of glaciers in Karakoram are complex, and in recent decades the area has experienced unchanged ice cover, despite rapid decline elsewhere in the world (the Karakoram anomaly). Assessment of future water resources and hydrological variability under climate change in this area is greatly needed, but the hydrology of these high-altitude catchments is still poorly studied and little understood. This study focuses on a particular watershed, the Shigar River with the control section at Shigar (about 7000 km2), nested within the upper Indus basin and fed by seasonal melt from two major glaciers (Baltoro and Biafo). Hydrological, meteorological, and glaciological data gathered during 3 years of field campaigns (2011–13) are used to set up a hydrological model, providing a depiction of instream flows,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="900dee0818c2df8af20037e46c2f5b15" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972351,"asset_id":94546095,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972351/download_file?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="94546095"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546095"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546095; 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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="94546094"><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/94546094/The_derivation_of_areal_reduction_factor_of_storm_rainfall_from_its_scaling_properties"><img alt="Research paper thumbnail of The derivation of areal reduction factor of storm rainfall from its scaling properties" class="work-thumbnail" src="https://attachments.academia-assets.com/96972348/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/94546094/The_derivation_of_areal_reduction_factor_of_storm_rainfall_from_its_scaling_properties">The derivation of areal reduction factor of storm rainfall from its scaling properties</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We present a method of modeling the areal reduction factor (ARF) of storm rainfall. The ARF is wi...</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">We present a method of modeling the areal reduction factor (ARF) of storm rainfall. The ARF is widely used in reducing point rainfall to obtain areal average values for the same duration, probability of exceedance, and specified area. The concepts of scaling and multiscaling, developed in recent years, provide a powerful framework for studying spatial and temporal variability of hydrological processes. It is our view that ARF must reflect the scaling properties of rainfall in space and time. We develop a simple statistical approach to the ARF of extreme storm rainfall based on the scaling properties of the underlying process in space and time. We derive the scaling relations of mean rainfall intensity over an area A and for a duration T using the concepts of dynamic scaling and statistical self-affinity. A new physically based formula for the ARF is then obtained. Applications are made to observations from the metropolitan area of Milan, Italy, and to data in the United Kingdom, as given in the Natural Environmental Research Council Flood Studies Report. These studies indicate that storm rates in space and time are scaling for extreme events, and hence this concept is shown to provide a useful practical approach to the evaluation of design storms for specified areas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ebf427d8132c3c9ae6f12bca806bb0d0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972348,"asset_id":94546094,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972348/download_file?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="94546094"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546094"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546094; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546094]").text(description); $(".js-view-count[data-work-id=94546094]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546094; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546094']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "ebf427d8132c3c9ae6f12bca806bb0d0" } } $('.js-work-strip[data-work-id=94546094]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94546094,"title":"The derivation of areal reduction factor of storm rainfall from its scaling properties","internal_url":"https://www.academia.edu/94546094/The_derivation_of_areal_reduction_factor_of_storm_rainfall_from_its_scaling_properties","owner_id":125669857,"coauthors_can_edit":true,"owner":{"id":125669857,"first_name":"Renzo","middle_initials":null,"last_name":"Rosso","page_name":"RenzoRosso1","domain_name":"independent","created_at":"2019-09-09T07:03:03.708-07:00","display_name":"Renzo Rosso","url":"https://independent.academia.edu/RenzoRosso1"},"attachments":[{"id":96972348,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972348/thumbnails/1.jpg","file_name":"demichele01a.pdf","download_url":"https://www.academia.edu/attachments/96972348/download_file","bulk_download_file_name":"The_derivation_of_areal_reduction_factor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972348/demichele01a-libre.pdf?1673171937=\u0026response-content-disposition=attachment%3B+filename%3DThe_derivation_of_areal_reduction_factor.pdf\u0026Expires=1740543844\u0026Signature=Q9KR0TIdWmC~RfhqMci6cEgzIC7PZQ4YJU438FyG-912PqPncZ8FSTnvKl6TEU1aJil1fXLvnaFoDH2lFyCAQ4hLWSnezWpy882woF1ASbcFeymSRXLMdvhAe~7XQdmth-nPZgQM9pg2tRNGg6kRQUNJQpKaAUeOeKqUClDuIiDyKtrxrp8zIhiX5K4PJP1-KmUYc2Koapw4KdTK~EJ2crn~~SJDdXvdCm580g59n2f-jsOZGJF7-BV1XhULmeXn7YJBPwFyIv04gX0Zt46wYeWyxRP2smJ85U6eHh5nP5bvZMnIiNnvIr-NCoj~9Ub4kZJGfH7ReDsSwHaYrzB5bA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="94546093"><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/94546093/A_physically_based_model_for_the_hydrologic_control_on_shallow_landsliding"><img alt="Research paper thumbnail of A physically based model for the hydrologic control on shallow landsliding" class="work-thumbnail" src="https://attachments.academia-assets.com/96972353/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/94546093/A_physically_based_model_for_the_hydrologic_control_on_shallow_landsliding">A physically based model for the hydrologic control on shallow landsliding</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Both rainfall intensity and duration take part in determining the hydrologic conditions favorable...</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">Both rainfall intensity and duration take part in determining the hydrologic conditions favorable to the occurrence of shallow landslides. Hydrogeomorphic models of slope stability generally account for the dependence of landsliding on soil mechanical and topographic factors, while the role of rainfall duration is seldom considered within a process-based approach. To investigate the effect of different climate drivers on slope stability, we developed a modeling framework that accounts for the variability of extreme rainfall rate with the duration of rainfall events. The slope stability component includes the key characteristics of the soil mantle, i.e., angle of shearing resistance, void ratio, and specific gravity of solids. Hillslope hydrology is modeled by coupling the conservation of mass of soil water with the Darcy's law used to describe seepage flow. This yields a simple analytical model capable of describing combined effect of duration and intensity of a precipitation episode in triggering shallow landslides. Dimensionless variables are introduced to investigate model sensitivity. Finally, coupling this model with the simple scaling model for the frequency of storm precipitation can help in understanding the climate control on landscape evolution. This leads to predict the temporal scale of hillslope evolution associated with the occurrence of shallow landslides. Model application is shown for the Mettman Ridge study area in Oregon, United States.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="91752c229ac449d37e52edafd462162c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972353,"asset_id":94546093,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972353/download_file?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="94546093"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546093"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546093; 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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="94546092"><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/94546092/Parameterization_of_stream_channel_geometry_in_the_distributed_modeling_of_catchment_dynamics"><img alt="Research paper thumbnail of Parameterization of stream channel geometry in the distributed modeling of catchment dynamics" class="work-thumbnail" src="https://attachments.academia-assets.com/96972356/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/94546092/Parameterization_of_stream_channel_geometry_in_the_distributed_modeling_of_catchment_dynamics">Parameterization of stream channel geometry in the distributed modeling of catchment dynamics</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A simple and efficient procedure for incorporating the effects of stream channel geometry in the ...</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">A simple and efficient procedure for incorporating the effects of stream channel geometry in the distributed modeling of catchment dynamics is developed. At-astation and downstream fluvial relationships are combined and the obtained laws of variability in space and time for water-surface width and wetted perimeter are incorporated into a diffusion wave routing model based on the Muskingum-Cunge method with variable parameters. The parameterization obtained is applied to the approximately 840-km 2 Sieve catchment (Central Italian Apennines) to test the possibility of estimating channel geometry parameters from cross-section surveys and to assess the impact of dynamic variations in the channel geometry on catchment dynamics. The use of the estimated channel geometry in surface runoff routing produces a significant improvement in the flood hydrograph description at the catchment outlet with respect to less detailed network parameterizations. In addition, the results obtained from a "downstream" analysis of the velocity field indicate that the stream characteristics related to the locally varying cross-section shape may have a strong control on flow velocities, and thus they should be monitored and synthesized for a comprehensive description of the distributed catchment dynamics. 1.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="98a48ddebee8c64092889a70eb012894" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972356,"asset_id":94546092,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972356/download_file?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="94546092"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546092"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546092; 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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="94546090"><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/94546090/Green_Roofs_Effects_on_the_Urban_Water_Cycle_Components"><img alt="Research paper thumbnail of Green Roofs Effects on the Urban Water Cycle Components" class="work-thumbnail" src="https://attachments.academia-assets.com/96972349/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/94546090/Green_Roofs_Effects_on_the_Urban_Water_Cycle_Components">Green Roofs Effects on the Urban Water Cycle Components</a></div><div class="wp-workCard_item"><span>Procedia Engineering</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Green roofs are emerging as an increasingly popular Sustainable Urban Drainage Systems (SUDS) tec...</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">Green roofs are emerging as an increasingly popular Sustainable Urban Drainage Systems (SUDS) technique for urban stormwater management. Indeed, they allow a significant reduction of peak flows and runoff volumes collected by drainage system, with consequent reduction of flooding events and pollution masses discharges by CSO. To estimate the imperviousness of a green roof and to evaluate its hydrological impact within an urban watershed, a bucket model was developed to simulate a rainfall-runoff relationship for a single green roof. The objective is modeling hydrological fluxes in relation to climate forcing, basic technology components and geometric characteristics of green roof systems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="75252c9861c355470c84e231fc1acbaf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972349,"asset_id":94546090,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972349/download_file?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="94546090"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546090"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546090; 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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="94546089"><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/94546089/Evaluation_of_future_hydrological_cycle_under_climate_change_scenarios_in_a_mesoscale_Alpine_watershed_of_Italy"><img alt="Research paper thumbnail of Evaluation of future hydrological cycle under climate change scenarios in a mesoscale Alpine watershed of Italy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972302/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/94546089/Evaluation_of_future_hydrological_cycle_under_climate_change_scenarios_in_a_mesoscale_Alpine_watershed_of_Italy">Evaluation of future hydrological cycle under climate change scenarios in a mesoscale Alpine watershed of Italy</a></div><div class="wp-workCard_item"><span>Natural Hazards and Earth System Sciences</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigate future (2045-2054) hydrological cycle of the snow fed Oglio (≈1800 km 2) Alpine wa...</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">We investigate future (2045-2054) hydrological cycle of the snow fed Oglio (≈1800 km 2) Alpine watershed in Northern Italy. A Stochastic Space Random Cascade (SSRC) approach is used to downscale future precipitation from three general circulation models, GCMs (PCM, CCSM3, and HadCM3) available within the IPCC's data base and chosen for this purpose based upon previous studies. We then downscale temperature output from the GCMs to obtain temperature fields for the area. We also consider a projected scenario based upon trends locally observed in former studies, LOC scenario. Then, we feed the downscaled fields to a minimal hydrological model to build future hydrological scenarios. We provide projected flow duration curves and selected flow descriptors, giving indication of expected modified (against control run for 1990-1999) regime of low flows and droughts and flood hazard, and thus evaluate modified peak floods regime through indexed flood. We then assess the degree of uncertainty, or spread, of the projected water resources scenarios by feeding the hydrological model with ensembles projections consistent with our deterministic (GCMs + LOC) scenarios, and we evaluate the significance of the projected flow variables against those observed in the control run. The climate scenarios from the adopted GCMs differ greatly from one another with respect to projected precipitation amount and temperature regimes, and so do the projected hydrological scenarios. A relatively good agreement is found upon prospective shrinkage and shorter duration of the seasonal snow cover due to increased temperature patterns, and upon prospective increase of hydrological losses, i.e. evapotranspiration, for the same reason. However, precipitation patterns are less consistent, because HadCM3 and PCM models project noticeably increased precipitation for 2045-2054, whereas CCSM3 provides decreased precip</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="960ce1a403112cfb64363d8068825b0e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972302,"asset_id":94546089,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972302/download_file?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="94546089"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546089"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546089; 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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="94546088"><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/94546088/Forecasting_of_short_term_rainfall_using_ARMA_models"><img alt="Research paper thumbnail of Forecasting of short-term rainfall using ARMA models" class="work-thumbnail" src="https://attachments.academia-assets.com/96972350/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/94546088/Forecasting_of_short_term_rainfall_using_ARMA_models">Forecasting of short-term rainfall using ARMA models</a></div><div class="wp-workCard_item"><span>Journal of Hydrology</span><span>, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Flood forecasting depends essentially on forecasting of rainfall or snow melt. In this paper, rai...</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">Flood forecasting depends essentially on forecasting of rainfall or snow melt. In this paper, rainfall forecasting is approached assuming that hourly rainfall follows an autoregressive moving average (ARMA) process. This assumption is based on the fact that the autocovariance structure of some point processes, such as hourly rainfall processes, is equivalent to the autocovariance structure of certain low-order ARMA processes. Two estimation and fitting procedures are investigated. The first takes all rainfall occurrences throughout the period of record as the basis for parameter estimation, and the second is an event-based adaptive procedure. These procedures are compared for rainfall data at a point and rainfall data averaged over a basin. Hourly rainfall from two gaging stations in Colorado, USA, and from several stations in Central Italy are used. Results show that the event-based estimation approach yields better forecasts.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="68e38cb78df2bbba90ad5403b2288439" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972350,"asset_id":94546088,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972350/download_file?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="94546088"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546088"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546088; 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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="94546086"><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/94546086/Prediction_of_future_hydrological_regimes_in_poorly_gauged_high_altitude_basins_the_case_study_of_the_upper_Indus_Pakistan"><img alt="Research paper thumbnail of Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan" class="work-thumbnail" src="https://attachments.academia-assets.com/96972300/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/94546086/Prediction_of_future_hydrological_regimes_in_poorly_gauged_high_altitude_basins_the_case_study_of_the_upper_Indus_Pakistan">Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the mountain regions of the Hindu Kush, Karakoram and Himalaya (HKH) the "third polar ice cap"...</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">In the mountain regions of the Hindu Kush, Karakoram and Himalaya (HKH) the "third polar ice cap" of our planet, glaciers play the role of "water towers" by providing significant amount of melt water, especially in the dry season, essential for agriculture, drinking purposes, and hydropower production. Recently, most glaciers in the HKH have been retreating and losing mass, mainly due to significant regional warming, thus calling for assessment of future water resources availability for populations down slope. However, hydrology of these high altitude catchments is poorly studied and little understood. Most such catchments are poorly gauged, thus posing major issues in flow prediction therein, and representing in fact typical grounds of application of PUB concepts, where simple and portable hydrological modeling based upon scarce data amount is necessary for water budget estimation, and prediction under climate change conditions. In this preliminarily study, future (2060) hydrological flows in a particular watershed (Shigar river at Shigar, ca. 7000 km 2), nested within the upper Indus basin and fed by seasonal melt from major glaciers, are investigated. The study is carried out under the umbrella of the SHARE-Paprika project, aiming at evaluating the impact of climate change upon hydrology of the upper Indus river. We set up a minimal hydrological model, tuned against a short series of observed ground climatic data from a number of stations in the area, in situ measured ice ablation data, and remotely sensed snow cover data. The future, locally adjusted, precip</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ba4347382c0e362b855c2f7ae9211e6d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972300,"asset_id":94546086,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972300/download_file?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="94546086"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546086"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546086; 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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="94546085"><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/94546085/A_multi_level_approach_to_flood_frequency_regionalisation"><img alt="Research paper thumbnail of A multi-level approach to flood frequency regionalisation" class="work-thumbnail" src="https://attachments.academia-assets.com/96972296/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/94546085/A_multi_level_approach_to_flood_frequency_regionalisation">A multi-level approach to flood frequency regionalisation</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A multi-level approach to flood frequency regionalisation is given. Based on observed flood data,...</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">A multi-level approach to flood frequency regionalisation is given. Based on observed flood data, it combines physical and statistical criteria to cluster homogeneous groups in a geographical area. Seasonality analysis helps identify catchments with a common flood generation mechanism. Scale invariance of annual maximum flood, as parameterised by basin area, is used to check the regional homogeneity of flood peaks. Homogeneity tests are used to assess the statistical robustness of the regions. The approach is based on the appropriate use of the index flood method (Dalrymple, 1960) in regions with complex climate and topography controls. An application to northwestern Italy is presented.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0247a2b7dbabc3e00aac7d2c9dbbe3e3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972296,"asset_id":94546085,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972296/download_file?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="94546085"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546085"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546085; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546085]").text(description); $(".js-view-count[data-work-id=94546085]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546085; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546085']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="94546084"><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/94546084/An_integrated_simulation_method_for_flash_flood_risk_assessment_1_Frequency_predictions_in_the_Bisagno_River_by_combining_stochastic_and_deterministic_methods"><img alt="Research paper thumbnail of An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods" class="work-thumbnail" src="https://attachments.academia-assets.com/96972294/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/94546084/An_integrated_simulation_method_for_flash_flood_risk_assessment_1_Frequency_predictions_in_the_Bisagno_River_by_combining_stochastic_and_deterministic_methods">An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A stochastic rainfall generator and a deterministic rainfall-runoff model, both distributed in sp...</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">A stochastic rainfall generator and a deterministic rainfall-runoff model, both distributed in space and time, are combined to provide accurate flood frequency prediction in the Bisagno River basin (Thyrrenian Liguria, N.W.Italy). The inadequacy of streamflow records with respect to the return period of the required flow discharges makes the stochastic simulation methodology a useful operational alternative to a regionalisation procedure for flood frequency analysis and derived distribution techniques. The rainfall generator is the Generalized Neyman-Scott Rectangular Pulses (GNSRP) model. The rainfall-runoff model is the FEST98 model. The GNSRP generator was calibrated using a continuous 7-years' record of hourly precipitation measurements at five raingauges scattered over the Bisagno basin. The calibrated rainfall model was then used to generate a 1000 years' series of continuous rainfall data at the gauging sites and a flood-oriented model validation procedure was developed to evaluate the agreement between observed and simulated extreme values of rainfall at different scales of temporal aggregation. The synthetic precipitation series were input to the FEST98 model to provide flood hydrographs at selected cross-sections across the river network. Flood frequency analysis of the annual flood series (AFS) obtained from these simulations was undertaken using Lmoment estimations of Generalized Extreme Value (GEV) distributions. The results are compared with those determined by applying a regional flood analysis in Thyrrhenian Liguria and the derived distribution techniques to the Bisagno river basin. This approach is also useful to assess the effects of changes in land use on flood frequency regime (see Rosso and Rulli, 2002).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1c2cd43d5f6032286167fad59df299f2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972294,"asset_id":94546084,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972294/download_file?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="94546084"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546084"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546084; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546084]").text(description); $(".js-view-count[data-work-id=94546084]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546084; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546084']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "1c2cd43d5f6032286167fad59df299f2" } } $('.js-work-strip[data-work-id=94546084]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94546084,"title":"An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods","internal_url":"https://www.academia.edu/94546084/An_integrated_simulation_method_for_flash_flood_risk_assessment_1_Frequency_predictions_in_the_Bisagno_River_by_combining_stochastic_and_deterministic_methods","owner_id":125669857,"coauthors_can_edit":true,"owner":{"id":125669857,"first_name":"Renzo","middle_initials":null,"last_name":"Rosso","page_name":"RenzoRosso1","domain_name":"independent","created_at":"2019-09-09T07:03:03.708-07:00","display_name":"Renzo Rosso","url":"https://independent.academia.edu/RenzoRosso1"},"attachments":[{"id":96972294,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972294/thumbnails/1.jpg","file_name":"hess-6-267-2002.pdf","download_url":"https://www.academia.edu/attachments/96972294/download_file","bulk_download_file_name":"An_integrated_simulation_method_for_flas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972294/hess-6-267-2002-libre.pdf?1673171960=\u0026response-content-disposition=attachment%3B+filename%3DAn_integrated_simulation_method_for_flas.pdf\u0026Expires=1740543844\u0026Signature=JAGNB4mRwbP78wLbX2De8xUPuXq9atuahBlOWubX~UZFcL1UO09bPblFscO8Nas11SSdG~hQutpDVsMarNQA0lHZNxkOUW6otliHpCij~FpGKEZXURv3ihQkaa3w5nsTZ6M1~2UdkE5sBpWFrwegjy1RX9nOR9oYiwQyGNk9m7ntnL4vj8tBHDwci5gFXIBCdIXbJPFaxmz4SM3MB2PAmrlafH3nltqQSsXDepLTv2JT8nIeEAETGAvn9Bu039K8uleIvHMC4jL9RsiE2L7ZCC2wTkLHkI2hyXwOofkHrn42fh5MziKmJ2VagXOJs8GC86nZcKB-BlnLRYOfNI7o7Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":96972295,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972295/thumbnails/1.jpg","file_name":"hess-6-267-2002.pdf","download_url":"https://www.academia.edu/attachments/96972295/download_file","bulk_download_file_name":"An_integrated_simulation_method_for_flas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972295/hess-6-267-2002-libre.pdf?1673171963=\u0026response-content-disposition=attachment%3B+filename%3DAn_integrated_simulation_method_for_flas.pdf\u0026Expires=1740543844\u0026Signature=ANzom5QFzWE223hkMtQY~6CIMh2RdBkVePQGD3yGZpdv39UDjfW8KIyDbw70ChutqWOtQVYGPLzyT4JF-DjcrrBHHLb7eCJRa15pG2MeO4LtVPuUZS-vBvnBA2-I3NQwFkD67LzL7jZE0VthqWTJkO6m7cGNXtOaZn9loVqMiNwCz4se~Ifgy1tm~DHS~5LNsSo3Bqq6QKvT65sE8sYhacH~mw5DqB4cTk4qJMAXoYntrq7Fd6eytXVrqNwJL9imMA2biRhVjLPXBO9fsyi7WG2HM0Y-UVWmfA5P8Ig-euxD8EpS7dapafZ3AeN0QZWldc1roZySeDVYaxfc-c63Ww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="94546083"><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/94546083/Transient_catchment_hydrology_after_wildfires_in_a_Mediterranean_basin_runoff_sediment_and_woody_debris"><img alt="Research paper thumbnail of Transient catchment hydrology after wildfires in a Mediterranean basin: runoff, sediment and woody debris" class="work-thumbnail" src="https://attachments.academia-assets.com/96972293/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/94546083/Transient_catchment_hydrology_after_wildfires_in_a_Mediterranean_basin_runoff_sediment_and_woody_debris">Transient catchment hydrology after wildfires in a Mediterranean basin: runoff, sediment and woody debris</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The transient effect of forest fires on runoff, erosion and yield of woody biomass has been inves...</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 transient effect of forest fires on runoff, erosion and yield of woody biomass has been investigated by combining the experimental approach with mathematical models of hydrological processes. The case study is the Branega creek in Liguria, Italy, where a forest fire in August 2003 caused substantial changes to soil and vegetation, and left a considerable amount of woody debris on the ground. Immediately after the fire, rainfall simulator experiments in adjacent burned and unburned plots showed the extent to which fire had increased runoff and erosion rates. A distributed hydrological model using the tube-flux approach, calibrated on experimental measurements, has been used to investigate hill slope and channel erosion in a small sub-catchment, 1.5 ha in area, nested in the Branega basin. Simulation runs show that the model accommodates the observed variability of runoff and erosion under disturbed and undisturbed conditions. A model component describing the delivery of wood from hill slopes to the channel in post-fire conditions, validated against local survey data, showed that the removal and transport of woody biomass can be reproduced using an integrated hydrological approach. Hence, transient complexity after wildfires can be addressed by such an approach with empirically determined physically-based parameters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d729b83bd30721beeabb5ae05049aa4e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972293,"asset_id":94546083,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972293/download_file?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="94546083"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546083"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546083; 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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="94546082"><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/94546082/Review_of_recent_advances_in_index_flood_estimation"><img alt="Research paper thumbnail of Review of recent advances in index flood estimation" class="work-thumbnail" src="https://attachments.academia-assets.com/96972291/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/94546082/Review_of_recent_advances_in_index_flood_estimation">Review of recent advances in index flood estimation</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Index flood estimation for regional flood frequency analysis needs to be based on the information...</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">Index flood estimation for regional flood frequency analysis needs to be based on the information available. The most appropriate method depends on the specific application and its choice requires a problem-oriented analysis. This paper presents a simple theoretical framework to deal with index flood estimation for a specific river site. The methodological approaches available for the purpose are reviewed. For each, the information required is specified and the reliability of the estimate, particularly desirable in risk analysis and management, is discussed. Where flood observations are lacking, indirect estimation must be undertaken using scenarios including those commonly met in hydrological practice; generally, these depend on the amount and type of information available. For each scenario, the methodologies are outlined, in order of the expected degree of complexity. After a guided analysis, an investigator can adopt the method providing the best tradeoff between effort in collecting and handling data and the resultant reliability which can be expected.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="49658f79e6e992ae6acefb65f4500f91" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972291,"asset_id":94546082,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972291/download_file?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="94546082"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546082"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546082; 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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="94546081"><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/94546081/Continuous_streamflow_simulation_for_index_flood_estimation_in_an_Alpine_basin_of_northern_Italy"><img alt="Research paper thumbnail of Continuous streamflow simulation for index flood estimation in an Alpine basin of northern Italy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972346/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/94546081/Continuous_streamflow_simulation_for_index_flood_estimation_in_an_Alpine_basin_of_northern_Italy">Continuous streamflow simulation for index flood estimation in an Alpine basin of northern Italy</a></div><div class="wp-workCard_item"><span>Hydrological Sciences Journal</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Flood frequency estimation is crucial in both engineering practice and hydrological research. Reg...</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">Flood frequency estimation is crucial in both engineering practice and hydrological research. Regional analysis of flood peak discharges is used for more accurate estimates of flood quantiles in ungauged or poorly gauged catchments. This is based on the identification of homogeneous zones, where the probability distribution of annual maximum peak flows is invariant, except for a scale factor represented by an index flood. The numerous applications of this method have highlighted obtaining accurate estimates of index flood as a critical step, especially in ungauged or poorly gauged sections, where direct estimation by sample mean of annual flood series (AFS) is not possible, or inaccurate. Therein indirect methods have to be used. Most indirect methods are based upon empirical relationships that link index flood to hydrological, climatological and morphological catchment characteristics, developed by means of multi-regression analysis, or simplified lumped representation of rainfall-runoff processes. The limits of these approaches are increasingly evident as the size and spatial variability of the catchment increases. In these cases, the use of a spatially-distributed, physically-based hydrological model, and time continuous simulation of discharge can improve estimation of the index flood. This work presents an application of the FEST-WB model for the reconstruction of 29 years of hourly streamflows for an Alpine snow-fed catchment in northern Italy, to be used for index flood estimation. To extend the length of the simulated discharge time series, meteorological forcings given by daily precipitation and temperature at ground automatic weather stations are disaggregated hourly, and then fed to FEST-WB. The accuracy of the method in estimating index flood depending upon length of the simulated series is discussed, and suggestions for use of the methodology provided.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9261d92e3c5e6450c344512b1c2b242a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972346,"asset_id":94546081,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972346/download_file?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="94546081"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546081"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546081; 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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="94546080"><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/94546080/Effects_of_transient_climate_change_on_basin_hydrology_1_Precipitation_scenarios_for_the_Arno_River_central_Italy"><img alt="Research paper thumbnail of Effects of transient climate change on basin hydrology. 1. Precipitation scenarios for the Arno River, central Italy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972343/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/94546080/Effects_of_transient_climate_change_on_basin_hydrology_1_Precipitation_scenarios_for_the_Arno_River_central_Italy">Effects of transient climate change on basin hydrology. 1. Precipitation scenarios for the Arno River, central Italy</a></div><div class="wp-workCard_item"><span>Hydrological Processes</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Long-term simulations of temporal rainfall and temperature under transient global climate conditi...</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">Long-term simulations of temporal rainfall and temperature under transient global climate conditions are discussed to give an insight into potential modifications of atmospheric inputs at the basin scale in the Arno River in central Italy. The outputs from a global circulation model (GCM), simulating climate changes due to an increase in the greenhouse effect resulting from a continuous trend in the growth of CO 2 atmospheric concentration and accounting for the influence of both CO 2 and sulphate aerosols, are downscaled using a stochastic approach based on the observed nonstationarity of precipitation and temperature patterns. By using the historical joint variability of the internal structure of storm events, one can infer future changes in storm duration and depth from GCM trend variables, thus indicating the extent of changes in the occurrence of wet and dry periods and in the daily rates, including those of distributional properties at the monthly and annual scales. Because the changes detected mainly affect the tails of the distributions, one can conclude that modifications can occur in both low and high values of rainfall at the monthly and annual scales, with a shift of the storm patterns towards shorter and more intense convective rainfall, especially in the summer season. Stochastic simulation also shows that the distributional and scaling properties of rainfall extremes may progressively change, thus indicating that some revision of current practices to estimate extreme storms is needed to account for possible effects of non-stationary climate conditions. This approach provides local precipitation that, together with temperature scenarios, can be used for hydrological simulation of basin water fluxes in the Arno River, as reported in a companion paper (Burlando P, Rosso R. Hydrological Processes this issue).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07630fd4ad3838ea67094ecb054f8f38" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972343,"asset_id":94546080,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972343/download_file?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="94546080"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546080"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546080; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546080]").text(description); $(".js-view-count[data-work-id=94546080]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546080; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546080']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "07630fd4ad3838ea67094ecb054f8f38" } } $('.js-work-strip[data-work-id=94546080]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94546080,"title":"Effects of transient climate change on basin hydrology. 1. Precipitation scenarios for the Arno River, central Italy","internal_url":"https://www.academia.edu/94546080/Effects_of_transient_climate_change_on_basin_hydrology_1_Precipitation_scenarios_for_the_Arno_River_central_Italy","owner_id":125669857,"coauthors_can_edit":true,"owner":{"id":125669857,"first_name":"Renzo","middle_initials":null,"last_name":"Rosso","page_name":"RenzoRosso1","domain_name":"independent","created_at":"2019-09-09T07:03:03.708-07:00","display_name":"Renzo Rosso","url":"https://independent.academia.edu/RenzoRosso1"},"attachments":[{"id":96972343,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972343/thumbnails/1.jpg","file_name":"burlando-rosso_HydrolProc_1.pdf","download_url":"https://www.academia.edu/attachments/96972343/download_file","bulk_download_file_name":"Effects_of_transient_climate_change_on_b.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972343/burlando-rosso_HydrolProc_1-libre.pdf?1673171949=\u0026response-content-disposition=attachment%3B+filename%3DEffects_of_transient_climate_change_on_b.pdf\u0026Expires=1740543844\u0026Signature=fIlJjZdXfmszwvOVkhe~aJRxY1svMXSev0mjOdGSGJd1qGAwfWRScVUR~KP3XE1pZAhNIiM9M6J9n9mRw392nQ8sVOGicwPt-m2ZKUFptHHH-HBhTwr0ktMhvFBuUMbxi6lI62Wk9F0obzUyNT9E2VwmKQsLpavuY8MVULiJj1-l5aVv6aYUYBGymf8u0yP1kW-~fKzOIBcvZLAyoyRGLsDsFSUGwDTjEDgfa4RCRdtZ4T2OOEH81KyoGCzhsyMdYAvfuqUdy4-C1liv79AozJlv0AFjyKqyNRLJjRCe~qrwMRjV2lbBKcwn-GJrH9-N2Z-wCbiRleTCTD8JzqeGqw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="94546079"><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/94546079/Extreme_storm_rainfall_and_climatic_change"><img alt="Research paper thumbnail of Extreme storm rainfall and climatic change" class="work-thumbnail" src="https://attachments.academia-assets.com/96972345/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/94546079/Extreme_storm_rainfall_and_climatic_change">Extreme storm rainfall and climatic change</a></div><div class="wp-workCard_item"><span>Atmospheric Research</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In recent years General Circulation Models (GCMs) have been widely developed in the attempt to si...</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">In recent years General Circulation Models (GCMs) have been widely developed in the attempt to simulate global climate, and to predict future climate scenarios under conditions of enhanced CO2 concentration in the atmosphere. Unfortunately, these models provide estimates of he hydrological balance, which are integrated over a very coarse spatial computing grid. Significance and usefulness of such estimates are then limited with respect to the needs of water resources analyses at the basin scale. Accordingly, in this paper, coupling of GCMs' results and hydrology modeling is tackled, by investigating the precipitation process. A theoretical approach for linking modified scenarios simulated by GCMs to local changes in the precipitation patterns under global change is proposed. A stochastic model based on the theory of point process is used to describe the temporal process of precipitation jointly with scaling properties of rainfall, for the purpose of linking analytically changes predicted by GCMs to local modifications of the precipitation patterns under the global change. A sensitivity analysis of the proposed approach is also reported, jointly with an application to real-world data, in order to assess the validity of the procedure, and to address some implications of the global change on the precipitation process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2cbe8505b1148d2baa4a54d5fbeb6c87" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972345,"asset_id":94546079,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972345/download_file?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="94546079"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546079"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546079; 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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="94546078"><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/94546078/Use_of_a_Regional_Approach_for_Long_Term_Simulation_of_Snow_Avalanche_Regime_a_Case_Study_in_the_Italian_Alps"><img alt="Research paper thumbnail of Use of a Regional Approach for Long-Term Simulation of Snow Avalanche Regime: a Case Study in the Italian Alps" class="work-thumbnail" src="https://attachments.academia-assets.com/96972344/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/94546078/Use_of_a_Regional_Approach_for_Long_Term_Simulation_of_Snow_Avalanche_Regime_a_Case_Study_in_the_Italian_Alps">Use of a Regional Approach for Long-Term Simulation of Snow Avalanche Regime: a Case Study in the Italian Alps</a></div><div class="wp-workCard_item"><span>Arctic, Antarctic, and Alpine Research</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A method for long-term simulation of snow avalanches is developed, based on coupling statistical ...</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">A method for long-term simulation of snow avalanches is developed, based on coupling statistical interpretation of triggering snowfall process and regional avalanche data. The case study area is the Alta Valtellina region, in the northern Italian Alps. Therein, a 21-year-long series of daily snowfall data from 21 snow stations is used to calibrate a daily point snowfall statistical model. Then, a data set including 68 avalanche events from six historical avalanche sites are used to evaluate regionally valid features of avalanche release probability, geometry, and runout. These findings are then used to set up a model for the occurrence of avalanches. One particular case study site is considered, the Vallecetta mountain, of interest because of the considerable number of avalanche events occurring there. Long-term simulation of daily snowfall is performed, which is then fed into a model of snow avalanche occurrence. Snow avalanche simulations are then carried out, resulting in synthetic statistics of avalanche geometry, volume, and runout for a return period of 300 years. These are compared with regionally observed statistics in the considered area, resulting in acceptable agreement. The proposed model allows long-term simulations of avalanche occurrences for evaluation of snow avalanche volume and runout, usable for ecological and geomorphologic purposes. Integration with an avalanche dynamics model would provide long-term avalanche hazard assessment for land use planning purposes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7d999c86af87442157721c5209ffcaee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972344,"asset_id":94546078,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972344/download_file?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="94546078"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546078"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546078; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="12188604" id="papers"><div class="js-work-strip profile--work_container" data-work-id="94546099"><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/94546099/Analysis_of_Spatial_Variability_of_River_Network_Morphology_Flow_and_Potential_Energy"><img alt="Research paper thumbnail of Analysis of Spatial Variability of River Network Morphology, Flow and Potential Energy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972316/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/94546099/Analysis_of_Spatial_Variability_of_River_Network_Morphology_Flow_and_Potential_Energy">Analysis of Spatial Variability of River Network Morphology, Flow and Potential Energy</a></div><div class="wp-workCard_item"><span>Entropy and Energy Dissipation in Water Resources</span><span>, 1992</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Spatial variability of morphological characteristics and flow in river networks, and its relation...</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">Spatial variability of morphological characteristics and flow in river networks, and its relation to power distribution are analytically and empirically investigated. It is assumed, and positively tested, that Horton-type laws describe the downstream change in link morphological and topological characteristics. Accordingly, surrogates to the traditional stream length and area ratios are provided by the link number ratio, and the total link number ratio, respectively. The opposite statistical behaviour of stream and link length, as being dependent and independent variables, respectively, is found to be reversed in the case of link and stream heights. This property leads to an identical trend in the spatial variability of slope in both cases. On the other hand, assessment the of the self-similar model of link altitudinal geometry [Gupta & Waymire, 1989] reveals that previous testing, upon which the model has been refuted by Tarboton et al. [1989] was inadequately performed. However, our results show an increasing structured departure from simple-scaling for the n-th order moments. Finally, using Horton-type laws for height and flow yields the distribution of power to be characterized by a state of maximum spatial uniformity for a given flow quantile, for which the scaling exponent of mean link slope equals the one that describes mean flow pattern. This result is found to be implicitly explained by using the informational entropy principles as introduced by Kapoor [1990] for river networks.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3c1ef64a7df0b0360a8b38292c4504d4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972316,"asset_id":94546099,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972316/download_file?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="94546099"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546099"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546099; 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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="94546098"><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/94546098/Testing_the_use_of_reimbursement_data_to_obtain_damage_curves_in_urbanised_areas_the_case_of_the_Piedmont_flood_on_October_2000"><img alt="Research paper thumbnail of Testing the use of reimbursement data to obtain damage curves in urbanised areas: the case of the Piedmont flood on October 2000" class="work-thumbnail" src="https://attachments.academia-assets.com/96972352/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/94546098/Testing_the_use_of_reimbursement_data_to_obtain_damage_curves_in_urbanised_areas_the_case_of_the_Piedmont_flood_on_October_2000">Testing the use of reimbursement data to obtain damage curves in urbanised areas: the case of the Piedmont flood on October 2000</a></div><div class="wp-workCard_item"><span>Journal of Flood Risk Management</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article analyses the assessment of economic damages in urbanised flooded areas by testing th...</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">This article analyses the assessment of economic damages in urbanised flooded areas by testing the use of reimbursement data to obtain damage curves. Data coming from field observation of the 2000 flood in Piedmont, Italy, are used and the influence of local features and topography, as well as urban patterns are studied. Our starting point is the assessment of individual flooded elements, whose damages result from slightly more than 7000 refund claims. Damage functions estimation is carried out by using water depth and flow velocities obtained by 2D inundation model. Results show the relationship of damage versus water depth and versus flow velocity are strongly nonlinear and urban patterns playing a major role in explaining the amount of damage under given conditions. Moreover, results provide useful information for future ex ante estimation of potential flood damages and rewarding risk reductions and management actions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e17ad003503eb958b9ce0cfe4464d75" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972352,"asset_id":94546098,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972352/download_file?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="94546098"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546098"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546098; 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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="94546097"><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/94546097/Safety_of_Italian_dams_in_the_face_of_flood_hazard"><img alt="Research paper thumbnail of Safety of Italian dams in the face of flood hazard" class="work-thumbnail" src="https://attachments.academia-assets.com/96972355/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/94546097/Safety_of_Italian_dams_in_the_face_of_flood_hazard">Safety of Italian dams in the face of flood hazard</a></div><div class="wp-workCard_item"><span>Advances in Water Resources</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7aeef17e8fbc3ba81d2b3f6ca3019322" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972355,"asset_id":94546097,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972355/download_file?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="94546097"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546097"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546097; 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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="94546096"><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/94546096/Local_Contributions_to_Infiltration_Excess_Runoff_for_a_Conceptual_Catchment_Scale_Model"><img alt="Research paper thumbnail of Local Contributions to Infiltration Excess Runoff for a Conceptual Catchment Scale Model" class="work-thumbnail" src="https://attachments.academia-assets.com/96972376/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/94546096/Local_Contributions_to_Infiltration_Excess_Runoff_for_a_Conceptual_Catchment_Scale_Model">Local Contributions to Infiltration Excess Runoff for a Conceptual Catchment Scale Model</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The response of a conceptual soil water balance model to storm events is compared to a detailed f...</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 response of a conceptual soil water balance model to storm events is compared to a detailed finite element solution of the one-dimensional Richards equation in order to test the capabilities of the former in calculating the local contributions to infiltration excess runoff in a distributed catchment scale model. Local infiltration excess runoff is computed from ground level precipitation using the time compression approximation and a Philip infiltration capacity curve with Brooks-Corey constitutive equations. The validity of applying the conceptual model for local runoff and soil water balance calculations is investigated by performing numerical experiments over a range of soil types, control volume depths, and initial soil moisture conditions. We find that a good agreement between the conceptual and detailed models is obtained when the gravitational infiltration rate in Philip's formula is set to the saturated hydraulic conductivity, and when percolation from the control volume is updated as a function of the soil moisture content in a stepwise fashion. The comparison between these two models suggests that the simpler (and much less computer-intensive) conceptual water balance technique could be incorporated into distributed models for large scale complex terrains as an efficient means of retaining consideration of spatial variability effects in catchment scale hydrologic simulations. This is illustrated in an application to the Rio Missiaga catchment in the eastern Italian Alps, where the local contributions to surface and subsurface runoff are routed onto a digital elevation model-based conceptual transport network via a simple numerical scheme based on the Muskingum-Cunge method.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5c029a2835c34c8223dda44b5007447f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972376,"asset_id":94546096,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972376/download_file?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="94546096"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546096"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546096; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546096]").text(description); $(".js-view-count[data-work-id=94546096]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546096; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546096']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="94546095"><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/94546095/Future_Hydrological_Regimes_in_the_Upper_Indus_Basin_A_Case_Study_from_a_High_Altitude_Glacierized_Catchment"><img alt="Research paper thumbnail of Future Hydrological Regimes in the Upper Indus Basin: A Case Study from a High-Altitude Glacierized Catchment" class="work-thumbnail" src="https://attachments.academia-assets.com/96972351/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/94546095/Future_Hydrological_Regimes_in_the_Upper_Indus_Basin_A_Case_Study_from_a_High_Altitude_Glacierized_Catchment">Future Hydrological Regimes in the Upper Indus Basin: A Case Study from a High-Altitude Glacierized Catchment</a></div><div class="wp-workCard_item"><span>Journal of Hydrometeorology</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The mountain regions of the Hindu Kush, Karakoram, and Himalayas (HKH) are considered Earth’s “th...</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 mountain regions of the Hindu Kush, Karakoram, and Himalayas (HKH) are considered Earth’s “third pole,” and water from there plays an essential role for downstream populations. The dynamics of glaciers in Karakoram are complex, and in recent decades the area has experienced unchanged ice cover, despite rapid decline elsewhere in the world (the Karakoram anomaly). Assessment of future water resources and hydrological variability under climate change in this area is greatly needed, but the hydrology of these high-altitude catchments is still poorly studied and little understood. This study focuses on a particular watershed, the Shigar River with the control section at Shigar (about 7000 km2), nested within the upper Indus basin and fed by seasonal melt from two major glaciers (Baltoro and Biafo). Hydrological, meteorological, and glaciological data gathered during 3 years of field campaigns (2011–13) are used to set up a hydrological model, providing a depiction of instream flows,...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="900dee0818c2df8af20037e46c2f5b15" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972351,"asset_id":94546095,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972351/download_file?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="94546095"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546095"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546095; 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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="94546094"><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/94546094/The_derivation_of_areal_reduction_factor_of_storm_rainfall_from_its_scaling_properties"><img alt="Research paper thumbnail of The derivation of areal reduction factor of storm rainfall from its scaling properties" class="work-thumbnail" src="https://attachments.academia-assets.com/96972348/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/94546094/The_derivation_of_areal_reduction_factor_of_storm_rainfall_from_its_scaling_properties">The derivation of areal reduction factor of storm rainfall from its scaling properties</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We present a method of modeling the areal reduction factor (ARF) of storm rainfall. The ARF is wi...</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">We present a method of modeling the areal reduction factor (ARF) of storm rainfall. The ARF is widely used in reducing point rainfall to obtain areal average values for the same duration, probability of exceedance, and specified area. The concepts of scaling and multiscaling, developed in recent years, provide a powerful framework for studying spatial and temporal variability of hydrological processes. It is our view that ARF must reflect the scaling properties of rainfall in space and time. We develop a simple statistical approach to the ARF of extreme storm rainfall based on the scaling properties of the underlying process in space and time. We derive the scaling relations of mean rainfall intensity over an area A and for a duration T using the concepts of dynamic scaling and statistical self-affinity. A new physically based formula for the ARF is then obtained. Applications are made to observations from the metropolitan area of Milan, Italy, and to data in the United Kingdom, as given in the Natural Environmental Research Council Flood Studies Report. These studies indicate that storm rates in space and time are scaling for extreme events, and hence this concept is shown to provide a useful practical approach to the evaluation of design storms for specified areas.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ebf427d8132c3c9ae6f12bca806bb0d0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972348,"asset_id":94546094,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972348/download_file?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="94546094"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546094"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546094; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546094]").text(description); $(".js-view-count[data-work-id=94546094]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546094; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546094']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "ebf427d8132c3c9ae6f12bca806bb0d0" } } $('.js-work-strip[data-work-id=94546094]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94546094,"title":"The derivation of areal reduction factor of storm rainfall from its scaling properties","internal_url":"https://www.academia.edu/94546094/The_derivation_of_areal_reduction_factor_of_storm_rainfall_from_its_scaling_properties","owner_id":125669857,"coauthors_can_edit":true,"owner":{"id":125669857,"first_name":"Renzo","middle_initials":null,"last_name":"Rosso","page_name":"RenzoRosso1","domain_name":"independent","created_at":"2019-09-09T07:03:03.708-07:00","display_name":"Renzo Rosso","url":"https://independent.academia.edu/RenzoRosso1"},"attachments":[{"id":96972348,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972348/thumbnails/1.jpg","file_name":"demichele01a.pdf","download_url":"https://www.academia.edu/attachments/96972348/download_file","bulk_download_file_name":"The_derivation_of_areal_reduction_factor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972348/demichele01a-libre.pdf?1673171937=\u0026response-content-disposition=attachment%3B+filename%3DThe_derivation_of_areal_reduction_factor.pdf\u0026Expires=1740543844\u0026Signature=Q9KR0TIdWmC~RfhqMci6cEgzIC7PZQ4YJU438FyG-912PqPncZ8FSTnvKl6TEU1aJil1fXLvnaFoDH2lFyCAQ4hLWSnezWpy882woF1ASbcFeymSRXLMdvhAe~7XQdmth-nPZgQM9pg2tRNGg6kRQUNJQpKaAUeOeKqUClDuIiDyKtrxrp8zIhiX5K4PJP1-KmUYc2Koapw4KdTK~EJ2crn~~SJDdXvdCm580g59n2f-jsOZGJF7-BV1XhULmeXn7YJBPwFyIv04gX0Zt46wYeWyxRP2smJ85U6eHh5nP5bvZMnIiNnvIr-NCoj~9Ub4kZJGfH7ReDsSwHaYrzB5bA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="94546093"><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/94546093/A_physically_based_model_for_the_hydrologic_control_on_shallow_landsliding"><img alt="Research paper thumbnail of A physically based model for the hydrologic control on shallow landsliding" class="work-thumbnail" src="https://attachments.academia-assets.com/96972353/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/94546093/A_physically_based_model_for_the_hydrologic_control_on_shallow_landsliding">A physically based model for the hydrologic control on shallow landsliding</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Both rainfall intensity and duration take part in determining the hydrologic conditions favorable...</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">Both rainfall intensity and duration take part in determining the hydrologic conditions favorable to the occurrence of shallow landslides. Hydrogeomorphic models of slope stability generally account for the dependence of landsliding on soil mechanical and topographic factors, while the role of rainfall duration is seldom considered within a process-based approach. To investigate the effect of different climate drivers on slope stability, we developed a modeling framework that accounts for the variability of extreme rainfall rate with the duration of rainfall events. The slope stability component includes the key characteristics of the soil mantle, i.e., angle of shearing resistance, void ratio, and specific gravity of solids. Hillslope hydrology is modeled by coupling the conservation of mass of soil water with the Darcy's law used to describe seepage flow. This yields a simple analytical model capable of describing combined effect of duration and intensity of a precipitation episode in triggering shallow landslides. Dimensionless variables are introduced to investigate model sensitivity. Finally, coupling this model with the simple scaling model for the frequency of storm precipitation can help in understanding the climate control on landscape evolution. This leads to predict the temporal scale of hillslope evolution associated with the occurrence of shallow landslides. Model application is shown for the Mettman Ridge study area in Oregon, United States.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="91752c229ac449d37e52edafd462162c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972353,"asset_id":94546093,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972353/download_file?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="94546093"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546093"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546093; 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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="94546092"><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/94546092/Parameterization_of_stream_channel_geometry_in_the_distributed_modeling_of_catchment_dynamics"><img alt="Research paper thumbnail of Parameterization of stream channel geometry in the distributed modeling of catchment dynamics" class="work-thumbnail" src="https://attachments.academia-assets.com/96972356/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/94546092/Parameterization_of_stream_channel_geometry_in_the_distributed_modeling_of_catchment_dynamics">Parameterization of stream channel geometry in the distributed modeling of catchment dynamics</a></div><div class="wp-workCard_item"><span>Water Resources Research</span><span>, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A simple and efficient procedure for incorporating the effects of stream channel geometry in the ...</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">A simple and efficient procedure for incorporating the effects of stream channel geometry in the distributed modeling of catchment dynamics is developed. At-astation and downstream fluvial relationships are combined and the obtained laws of variability in space and time for water-surface width and wetted perimeter are incorporated into a diffusion wave routing model based on the Muskingum-Cunge method with variable parameters. The parameterization obtained is applied to the approximately 840-km 2 Sieve catchment (Central Italian Apennines) to test the possibility of estimating channel geometry parameters from cross-section surveys and to assess the impact of dynamic variations in the channel geometry on catchment dynamics. The use of the estimated channel geometry in surface runoff routing produces a significant improvement in the flood hydrograph description at the catchment outlet with respect to less detailed network parameterizations. In addition, the results obtained from a "downstream" analysis of the velocity field indicate that the stream characteristics related to the locally varying cross-section shape may have a strong control on flow velocities, and thus they should be monitored and synthesized for a comprehensive description of the distributed catchment dynamics. 1.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="98a48ddebee8c64092889a70eb012894" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972356,"asset_id":94546092,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972356/download_file?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="94546092"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546092"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546092; 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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="94546090"><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/94546090/Green_Roofs_Effects_on_the_Urban_Water_Cycle_Components"><img alt="Research paper thumbnail of Green Roofs Effects on the Urban Water Cycle Components" class="work-thumbnail" src="https://attachments.academia-assets.com/96972349/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/94546090/Green_Roofs_Effects_on_the_Urban_Water_Cycle_Components">Green Roofs Effects on the Urban Water Cycle Components</a></div><div class="wp-workCard_item"><span>Procedia Engineering</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Green roofs are emerging as an increasingly popular Sustainable Urban Drainage Systems (SUDS) tec...</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">Green roofs are emerging as an increasingly popular Sustainable Urban Drainage Systems (SUDS) technique for urban stormwater management. Indeed, they allow a significant reduction of peak flows and runoff volumes collected by drainage system, with consequent reduction of flooding events and pollution masses discharges by CSO. To estimate the imperviousness of a green roof and to evaluate its hydrological impact within an urban watershed, a bucket model was developed to simulate a rainfall-runoff relationship for a single green roof. The objective is modeling hydrological fluxes in relation to climate forcing, basic technology components and geometric characteristics of green roof systems.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="75252c9861c355470c84e231fc1acbaf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972349,"asset_id":94546090,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972349/download_file?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="94546090"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546090"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546090; 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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="94546089"><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/94546089/Evaluation_of_future_hydrological_cycle_under_climate_change_scenarios_in_a_mesoscale_Alpine_watershed_of_Italy"><img alt="Research paper thumbnail of Evaluation of future hydrological cycle under climate change scenarios in a mesoscale Alpine watershed of Italy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972302/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/94546089/Evaluation_of_future_hydrological_cycle_under_climate_change_scenarios_in_a_mesoscale_Alpine_watershed_of_Italy">Evaluation of future hydrological cycle under climate change scenarios in a mesoscale Alpine watershed of Italy</a></div><div class="wp-workCard_item"><span>Natural Hazards and Earth System Sciences</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigate future (2045-2054) hydrological cycle of the snow fed Oglio (≈1800 km 2) Alpine wa...</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">We investigate future (2045-2054) hydrological cycle of the snow fed Oglio (≈1800 km 2) Alpine watershed in Northern Italy. A Stochastic Space Random Cascade (SSRC) approach is used to downscale future precipitation from three general circulation models, GCMs (PCM, CCSM3, and HadCM3) available within the IPCC's data base and chosen for this purpose based upon previous studies. We then downscale temperature output from the GCMs to obtain temperature fields for the area. We also consider a projected scenario based upon trends locally observed in former studies, LOC scenario. Then, we feed the downscaled fields to a minimal hydrological model to build future hydrological scenarios. We provide projected flow duration curves and selected flow descriptors, giving indication of expected modified (against control run for 1990-1999) regime of low flows and droughts and flood hazard, and thus evaluate modified peak floods regime through indexed flood. We then assess the degree of uncertainty, or spread, of the projected water resources scenarios by feeding the hydrological model with ensembles projections consistent with our deterministic (GCMs + LOC) scenarios, and we evaluate the significance of the projected flow variables against those observed in the control run. The climate scenarios from the adopted GCMs differ greatly from one another with respect to projected precipitation amount and temperature regimes, and so do the projected hydrological scenarios. A relatively good agreement is found upon prospective shrinkage and shorter duration of the seasonal snow cover due to increased temperature patterns, and upon prospective increase of hydrological losses, i.e. evapotranspiration, for the same reason. However, precipitation patterns are less consistent, because HadCM3 and PCM models project noticeably increased precipitation for 2045-2054, whereas CCSM3 provides decreased precip</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="960ce1a403112cfb64363d8068825b0e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972302,"asset_id":94546089,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972302/download_file?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="94546089"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546089"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546089; 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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="94546088"><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/94546088/Forecasting_of_short_term_rainfall_using_ARMA_models"><img alt="Research paper thumbnail of Forecasting of short-term rainfall using ARMA models" class="work-thumbnail" src="https://attachments.academia-assets.com/96972350/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/94546088/Forecasting_of_short_term_rainfall_using_ARMA_models">Forecasting of short-term rainfall using ARMA models</a></div><div class="wp-workCard_item"><span>Journal of Hydrology</span><span>, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Flood forecasting depends essentially on forecasting of rainfall or snow melt. In this paper, rai...</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">Flood forecasting depends essentially on forecasting of rainfall or snow melt. In this paper, rainfall forecasting is approached assuming that hourly rainfall follows an autoregressive moving average (ARMA) process. This assumption is based on the fact that the autocovariance structure of some point processes, such as hourly rainfall processes, is equivalent to the autocovariance structure of certain low-order ARMA processes. Two estimation and fitting procedures are investigated. The first takes all rainfall occurrences throughout the period of record as the basis for parameter estimation, and the second is an event-based adaptive procedure. These procedures are compared for rainfall data at a point and rainfall data averaged over a basin. Hourly rainfall from two gaging stations in Colorado, USA, and from several stations in Central Italy are used. Results show that the event-based estimation approach yields better forecasts.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="68e38cb78df2bbba90ad5403b2288439" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972350,"asset_id":94546088,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972350/download_file?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="94546088"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546088"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546088; 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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="94546086"><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/94546086/Prediction_of_future_hydrological_regimes_in_poorly_gauged_high_altitude_basins_the_case_study_of_the_upper_Indus_Pakistan"><img alt="Research paper thumbnail of Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan" class="work-thumbnail" src="https://attachments.academia-assets.com/96972300/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/94546086/Prediction_of_future_hydrological_regimes_in_poorly_gauged_high_altitude_basins_the_case_study_of_the_upper_Indus_Pakistan">Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the mountain regions of the Hindu Kush, Karakoram and Himalaya (HKH) the "third polar ice cap"...</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">In the mountain regions of the Hindu Kush, Karakoram and Himalaya (HKH) the "third polar ice cap" of our planet, glaciers play the role of "water towers" by providing significant amount of melt water, especially in the dry season, essential for agriculture, drinking purposes, and hydropower production. Recently, most glaciers in the HKH have been retreating and losing mass, mainly due to significant regional warming, thus calling for assessment of future water resources availability for populations down slope. However, hydrology of these high altitude catchments is poorly studied and little understood. Most such catchments are poorly gauged, thus posing major issues in flow prediction therein, and representing in fact typical grounds of application of PUB concepts, where simple and portable hydrological modeling based upon scarce data amount is necessary for water budget estimation, and prediction under climate change conditions. In this preliminarily study, future (2060) hydrological flows in a particular watershed (Shigar river at Shigar, ca. 7000 km 2), nested within the upper Indus basin and fed by seasonal melt from major glaciers, are investigated. The study is carried out under the umbrella of the SHARE-Paprika project, aiming at evaluating the impact of climate change upon hydrology of the upper Indus river. We set up a minimal hydrological model, tuned against a short series of observed ground climatic data from a number of stations in the area, in situ measured ice ablation data, and remotely sensed snow cover data. The future, locally adjusted, precip</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ba4347382c0e362b855c2f7ae9211e6d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972300,"asset_id":94546086,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972300/download_file?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="94546086"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546086"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546086; 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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="94546085"><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/94546085/A_multi_level_approach_to_flood_frequency_regionalisation"><img alt="Research paper thumbnail of A multi-level approach to flood frequency regionalisation" class="work-thumbnail" src="https://attachments.academia-assets.com/96972296/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/94546085/A_multi_level_approach_to_flood_frequency_regionalisation">A multi-level approach to flood frequency regionalisation</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A multi-level approach to flood frequency regionalisation is given. Based on observed flood data,...</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">A multi-level approach to flood frequency regionalisation is given. Based on observed flood data, it combines physical and statistical criteria to cluster homogeneous groups in a geographical area. Seasonality analysis helps identify catchments with a common flood generation mechanism. Scale invariance of annual maximum flood, as parameterised by basin area, is used to check the regional homogeneity of flood peaks. Homogeneity tests are used to assess the statistical robustness of the regions. The approach is based on the appropriate use of the index flood method (Dalrymple, 1960) in regions with complex climate and topography controls. An application to northwestern Italy is presented.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0247a2b7dbabc3e00aac7d2c9dbbe3e3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972296,"asset_id":94546085,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972296/download_file?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="94546085"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546085"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546085; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546085]").text(description); $(".js-view-count[data-work-id=94546085]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546085; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546085']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(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="94546084"><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/94546084/An_integrated_simulation_method_for_flash_flood_risk_assessment_1_Frequency_predictions_in_the_Bisagno_River_by_combining_stochastic_and_deterministic_methods"><img alt="Research paper thumbnail of An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods" class="work-thumbnail" src="https://attachments.academia-assets.com/96972294/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/94546084/An_integrated_simulation_method_for_flash_flood_risk_assessment_1_Frequency_predictions_in_the_Bisagno_River_by_combining_stochastic_and_deterministic_methods">An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A stochastic rainfall generator and a deterministic rainfall-runoff model, both distributed in sp...</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">A stochastic rainfall generator and a deterministic rainfall-runoff model, both distributed in space and time, are combined to provide accurate flood frequency prediction in the Bisagno River basin (Thyrrenian Liguria, N.W.Italy). The inadequacy of streamflow records with respect to the return period of the required flow discharges makes the stochastic simulation methodology a useful operational alternative to a regionalisation procedure for flood frequency analysis and derived distribution techniques. The rainfall generator is the Generalized Neyman-Scott Rectangular Pulses (GNSRP) model. The rainfall-runoff model is the FEST98 model. The GNSRP generator was calibrated using a continuous 7-years' record of hourly precipitation measurements at five raingauges scattered over the Bisagno basin. The calibrated rainfall model was then used to generate a 1000 years' series of continuous rainfall data at the gauging sites and a flood-oriented model validation procedure was developed to evaluate the agreement between observed and simulated extreme values of rainfall at different scales of temporal aggregation. The synthetic precipitation series were input to the FEST98 model to provide flood hydrographs at selected cross-sections across the river network. Flood frequency analysis of the annual flood series (AFS) obtained from these simulations was undertaken using Lmoment estimations of Generalized Extreme Value (GEV) distributions. The results are compared with those determined by applying a regional flood analysis in Thyrrhenian Liguria and the derived distribution techniques to the Bisagno river basin. This approach is also useful to assess the effects of changes in land use on flood frequency regime (see Rosso and Rulli, 2002).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1c2cd43d5f6032286167fad59df299f2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972294,"asset_id":94546084,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972294/download_file?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="94546084"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546084"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546084; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546084]").text(description); $(".js-view-count[data-work-id=94546084]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546084; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546084']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "1c2cd43d5f6032286167fad59df299f2" } } $('.js-work-strip[data-work-id=94546084]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94546084,"title":"An integrated simulation method for flash-flood risk assessment: 1. Frequency predictions in the Bisagno River by combining stochastic and deterministic methods","internal_url":"https://www.academia.edu/94546084/An_integrated_simulation_method_for_flash_flood_risk_assessment_1_Frequency_predictions_in_the_Bisagno_River_by_combining_stochastic_and_deterministic_methods","owner_id":125669857,"coauthors_can_edit":true,"owner":{"id":125669857,"first_name":"Renzo","middle_initials":null,"last_name":"Rosso","page_name":"RenzoRosso1","domain_name":"independent","created_at":"2019-09-09T07:03:03.708-07:00","display_name":"Renzo Rosso","url":"https://independent.academia.edu/RenzoRosso1"},"attachments":[{"id":96972294,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972294/thumbnails/1.jpg","file_name":"hess-6-267-2002.pdf","download_url":"https://www.academia.edu/attachments/96972294/download_file","bulk_download_file_name":"An_integrated_simulation_method_for_flas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972294/hess-6-267-2002-libre.pdf?1673171960=\u0026response-content-disposition=attachment%3B+filename%3DAn_integrated_simulation_method_for_flas.pdf\u0026Expires=1740543844\u0026Signature=JAGNB4mRwbP78wLbX2De8xUPuXq9atuahBlOWubX~UZFcL1UO09bPblFscO8Nas11SSdG~hQutpDVsMarNQA0lHZNxkOUW6otliHpCij~FpGKEZXURv3ihQkaa3w5nsTZ6M1~2UdkE5sBpWFrwegjy1RX9nOR9oYiwQyGNk9m7ntnL4vj8tBHDwci5gFXIBCdIXbJPFaxmz4SM3MB2PAmrlafH3nltqQSsXDepLTv2JT8nIeEAETGAvn9Bu039K8uleIvHMC4jL9RsiE2L7ZCC2wTkLHkI2hyXwOofkHrn42fh5MziKmJ2VagXOJs8GC86nZcKB-BlnLRYOfNI7o7Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":96972295,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972295/thumbnails/1.jpg","file_name":"hess-6-267-2002.pdf","download_url":"https://www.academia.edu/attachments/96972295/download_file","bulk_download_file_name":"An_integrated_simulation_method_for_flas.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972295/hess-6-267-2002-libre.pdf?1673171963=\u0026response-content-disposition=attachment%3B+filename%3DAn_integrated_simulation_method_for_flas.pdf\u0026Expires=1740543844\u0026Signature=ANzom5QFzWE223hkMtQY~6CIMh2RdBkVePQGD3yGZpdv39UDjfW8KIyDbw70ChutqWOtQVYGPLzyT4JF-DjcrrBHHLb7eCJRa15pG2MeO4LtVPuUZS-vBvnBA2-I3NQwFkD67LzL7jZE0VthqWTJkO6m7cGNXtOaZn9loVqMiNwCz4se~Ifgy1tm~DHS~5LNsSo3Bqq6QKvT65sE8sYhacH~mw5DqB4cTk4qJMAXoYntrq7Fd6eytXVrqNwJL9imMA2biRhVjLPXBO9fsyi7WG2HM0Y-UVWmfA5P8Ig-euxD8EpS7dapafZ3AeN0QZWldc1roZySeDVYaxfc-c63Ww__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="94546083"><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/94546083/Transient_catchment_hydrology_after_wildfires_in_a_Mediterranean_basin_runoff_sediment_and_woody_debris"><img alt="Research paper thumbnail of Transient catchment hydrology after wildfires in a Mediterranean basin: runoff, sediment and woody debris" class="work-thumbnail" src="https://attachments.academia-assets.com/96972293/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/94546083/Transient_catchment_hydrology_after_wildfires_in_a_Mediterranean_basin_runoff_sediment_and_woody_debris">Transient catchment hydrology after wildfires in a Mediterranean basin: runoff, sediment and woody debris</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The transient effect of forest fires on runoff, erosion and yield of woody biomass has been inves...</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 transient effect of forest fires on runoff, erosion and yield of woody biomass has been investigated by combining the experimental approach with mathematical models of hydrological processes. The case study is the Branega creek in Liguria, Italy, where a forest fire in August 2003 caused substantial changes to soil and vegetation, and left a considerable amount of woody debris on the ground. Immediately after the fire, rainfall simulator experiments in adjacent burned and unburned plots showed the extent to which fire had increased runoff and erosion rates. A distributed hydrological model using the tube-flux approach, calibrated on experimental measurements, has been used to investigate hill slope and channel erosion in a small sub-catchment, 1.5 ha in area, nested in the Branega basin. Simulation runs show that the model accommodates the observed variability of runoff and erosion under disturbed and undisturbed conditions. A model component describing the delivery of wood from hill slopes to the channel in post-fire conditions, validated against local survey data, showed that the removal and transport of woody biomass can be reproduced using an integrated hydrological approach. Hence, transient complexity after wildfires can be addressed by such an approach with empirically determined physically-based parameters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d729b83bd30721beeabb5ae05049aa4e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972293,"asset_id":94546083,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972293/download_file?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="94546083"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546083"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546083; 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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="94546082"><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/94546082/Review_of_recent_advances_in_index_flood_estimation"><img alt="Research paper thumbnail of Review of recent advances in index flood estimation" class="work-thumbnail" src="https://attachments.academia-assets.com/96972291/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/94546082/Review_of_recent_advances_in_index_flood_estimation">Review of recent advances in index flood estimation</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Index flood estimation for regional flood frequency analysis needs to be based on the information...</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">Index flood estimation for regional flood frequency analysis needs to be based on the information available. The most appropriate method depends on the specific application and its choice requires a problem-oriented analysis. This paper presents a simple theoretical framework to deal with index flood estimation for a specific river site. The methodological approaches available for the purpose are reviewed. For each, the information required is specified and the reliability of the estimate, particularly desirable in risk analysis and management, is discussed. Where flood observations are lacking, indirect estimation must be undertaken using scenarios including those commonly met in hydrological practice; generally, these depend on the amount and type of information available. For each scenario, the methodologies are outlined, in order of the expected degree of complexity. After a guided analysis, an investigator can adopt the method providing the best tradeoff between effort in collecting and handling data and the resultant reliability which can be expected.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="49658f79e6e992ae6acefb65f4500f91" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972291,"asset_id":94546082,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972291/download_file?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="94546082"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546082"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546082; 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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="94546081"><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/94546081/Continuous_streamflow_simulation_for_index_flood_estimation_in_an_Alpine_basin_of_northern_Italy"><img alt="Research paper thumbnail of Continuous streamflow simulation for index flood estimation in an Alpine basin of northern Italy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972346/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/94546081/Continuous_streamflow_simulation_for_index_flood_estimation_in_an_Alpine_basin_of_northern_Italy">Continuous streamflow simulation for index flood estimation in an Alpine basin of northern Italy</a></div><div class="wp-workCard_item"><span>Hydrological Sciences Journal</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Flood frequency estimation is crucial in both engineering practice and hydrological research. Reg...</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">Flood frequency estimation is crucial in both engineering practice and hydrological research. Regional analysis of flood peak discharges is used for more accurate estimates of flood quantiles in ungauged or poorly gauged catchments. This is based on the identification of homogeneous zones, where the probability distribution of annual maximum peak flows is invariant, except for a scale factor represented by an index flood. The numerous applications of this method have highlighted obtaining accurate estimates of index flood as a critical step, especially in ungauged or poorly gauged sections, where direct estimation by sample mean of annual flood series (AFS) is not possible, or inaccurate. Therein indirect methods have to be used. Most indirect methods are based upon empirical relationships that link index flood to hydrological, climatological and morphological catchment characteristics, developed by means of multi-regression analysis, or simplified lumped representation of rainfall-runoff processes. The limits of these approaches are increasingly evident as the size and spatial variability of the catchment increases. In these cases, the use of a spatially-distributed, physically-based hydrological model, and time continuous simulation of discharge can improve estimation of the index flood. This work presents an application of the FEST-WB model for the reconstruction of 29 years of hourly streamflows for an Alpine snow-fed catchment in northern Italy, to be used for index flood estimation. To extend the length of the simulated discharge time series, meteorological forcings given by daily precipitation and temperature at ground automatic weather stations are disaggregated hourly, and then fed to FEST-WB. The accuracy of the method in estimating index flood depending upon length of the simulated series is discussed, and suggestions for use of the methodology provided.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9261d92e3c5e6450c344512b1c2b242a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972346,"asset_id":94546081,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972346/download_file?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="94546081"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546081"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546081; 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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="94546080"><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/94546080/Effects_of_transient_climate_change_on_basin_hydrology_1_Precipitation_scenarios_for_the_Arno_River_central_Italy"><img alt="Research paper thumbnail of Effects of transient climate change on basin hydrology. 1. Precipitation scenarios for the Arno River, central Italy" class="work-thumbnail" src="https://attachments.academia-assets.com/96972343/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/94546080/Effects_of_transient_climate_change_on_basin_hydrology_1_Precipitation_scenarios_for_the_Arno_River_central_Italy">Effects of transient climate change on basin hydrology. 1. Precipitation scenarios for the Arno River, central Italy</a></div><div class="wp-workCard_item"><span>Hydrological Processes</span><span>, 2002</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Long-term simulations of temporal rainfall and temperature under transient global climate conditi...</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">Long-term simulations of temporal rainfall and temperature under transient global climate conditions are discussed to give an insight into potential modifications of atmospheric inputs at the basin scale in the Arno River in central Italy. The outputs from a global circulation model (GCM), simulating climate changes due to an increase in the greenhouse effect resulting from a continuous trend in the growth of CO 2 atmospheric concentration and accounting for the influence of both CO 2 and sulphate aerosols, are downscaled using a stochastic approach based on the observed nonstationarity of precipitation and temperature patterns. By using the historical joint variability of the internal structure of storm events, one can infer future changes in storm duration and depth from GCM trend variables, thus indicating the extent of changes in the occurrence of wet and dry periods and in the daily rates, including those of distributional properties at the monthly and annual scales. Because the changes detected mainly affect the tails of the distributions, one can conclude that modifications can occur in both low and high values of rainfall at the monthly and annual scales, with a shift of the storm patterns towards shorter and more intense convective rainfall, especially in the summer season. Stochastic simulation also shows that the distributional and scaling properties of rainfall extremes may progressively change, thus indicating that some revision of current practices to estimate extreme storms is needed to account for possible effects of non-stationary climate conditions. This approach provides local precipitation that, together with temperature scenarios, can be used for hydrological simulation of basin water fluxes in the Arno River, as reported in a companion paper (Burlando P, Rosso R. Hydrological Processes this issue).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07630fd4ad3838ea67094ecb054f8f38" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972343,"asset_id":94546080,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972343/download_file?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="94546080"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546080"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546080; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94546080]").text(description); $(".js-view-count[data-work-id=94546080]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94546080; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94546080']"); 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></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.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: "07630fd4ad3838ea67094ecb054f8f38" } } $('.js-work-strip[data-work-id=94546080]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94546080,"title":"Effects of transient climate change on basin hydrology. 1. Precipitation scenarios for the Arno River, central Italy","internal_url":"https://www.academia.edu/94546080/Effects_of_transient_climate_change_on_basin_hydrology_1_Precipitation_scenarios_for_the_Arno_River_central_Italy","owner_id":125669857,"coauthors_can_edit":true,"owner":{"id":125669857,"first_name":"Renzo","middle_initials":null,"last_name":"Rosso","page_name":"RenzoRosso1","domain_name":"independent","created_at":"2019-09-09T07:03:03.708-07:00","display_name":"Renzo Rosso","url":"https://independent.academia.edu/RenzoRosso1"},"attachments":[{"id":96972343,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/96972343/thumbnails/1.jpg","file_name":"burlando-rosso_HydrolProc_1.pdf","download_url":"https://www.academia.edu/attachments/96972343/download_file","bulk_download_file_name":"Effects_of_transient_climate_change_on_b.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/96972343/burlando-rosso_HydrolProc_1-libre.pdf?1673171949=\u0026response-content-disposition=attachment%3B+filename%3DEffects_of_transient_climate_change_on_b.pdf\u0026Expires=1740543844\u0026Signature=fIlJjZdXfmszwvOVkhe~aJRxY1svMXSev0mjOdGSGJd1qGAwfWRScVUR~KP3XE1pZAhNIiM9M6J9n9mRw392nQ8sVOGicwPt-m2ZKUFptHHH-HBhTwr0ktMhvFBuUMbxi6lI62Wk9F0obzUyNT9E2VwmKQsLpavuY8MVULiJj1-l5aVv6aYUYBGymf8u0yP1kW-~fKzOIBcvZLAyoyRGLsDsFSUGwDTjEDgfa4RCRdtZ4T2OOEH81KyoGCzhsyMdYAvfuqUdy4-C1liv79AozJlv0AFjyKqyNRLJjRCe~qrwMRjV2lbBKcwn-GJrH9-N2Z-wCbiRleTCTD8JzqeGqw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="94546079"><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/94546079/Extreme_storm_rainfall_and_climatic_change"><img alt="Research paper thumbnail of Extreme storm rainfall and climatic change" class="work-thumbnail" src="https://attachments.academia-assets.com/96972345/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/94546079/Extreme_storm_rainfall_and_climatic_change">Extreme storm rainfall and climatic change</a></div><div class="wp-workCard_item"><span>Atmospheric Research</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In recent years General Circulation Models (GCMs) have been widely developed in the attempt to si...</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">In recent years General Circulation Models (GCMs) have been widely developed in the attempt to simulate global climate, and to predict future climate scenarios under conditions of enhanced CO2 concentration in the atmosphere. Unfortunately, these models provide estimates of he hydrological balance, which are integrated over a very coarse spatial computing grid. Significance and usefulness of such estimates are then limited with respect to the needs of water resources analyses at the basin scale. Accordingly, in this paper, coupling of GCMs' results and hydrology modeling is tackled, by investigating the precipitation process. A theoretical approach for linking modified scenarios simulated by GCMs to local changes in the precipitation patterns under global change is proposed. A stochastic model based on the theory of point process is used to describe the temporal process of precipitation jointly with scaling properties of rainfall, for the purpose of linking analytically changes predicted by GCMs to local modifications of the precipitation patterns under the global change. A sensitivity analysis of the proposed approach is also reported, jointly with an application to real-world data, in order to assess the validity of the procedure, and to address some implications of the global change on the precipitation process.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="2cbe8505b1148d2baa4a54d5fbeb6c87" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972345,"asset_id":94546079,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972345/download_file?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="94546079"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546079"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546079; 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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="94546078"><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/94546078/Use_of_a_Regional_Approach_for_Long_Term_Simulation_of_Snow_Avalanche_Regime_a_Case_Study_in_the_Italian_Alps"><img alt="Research paper thumbnail of Use of a Regional Approach for Long-Term Simulation of Snow Avalanche Regime: a Case Study in the Italian Alps" class="work-thumbnail" src="https://attachments.academia-assets.com/96972344/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/94546078/Use_of_a_Regional_Approach_for_Long_Term_Simulation_of_Snow_Avalanche_Regime_a_Case_Study_in_the_Italian_Alps">Use of a Regional Approach for Long-Term Simulation of Snow Avalanche Regime: a Case Study in the Italian Alps</a></div><div class="wp-workCard_item"><span>Arctic, Antarctic, and Alpine Research</span><span>, 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A method for long-term simulation of snow avalanches is developed, based on coupling statistical ...</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">A method for long-term simulation of snow avalanches is developed, based on coupling statistical interpretation of triggering snowfall process and regional avalanche data. The case study area is the Alta Valtellina region, in the northern Italian Alps. Therein, a 21-year-long series of daily snowfall data from 21 snow stations is used to calibrate a daily point snowfall statistical model. Then, a data set including 68 avalanche events from six historical avalanche sites are used to evaluate regionally valid features of avalanche release probability, geometry, and runout. These findings are then used to set up a model for the occurrence of avalanches. One particular case study site is considered, the Vallecetta mountain, of interest because of the considerable number of avalanche events occurring there. Long-term simulation of daily snowfall is performed, which is then fed into a model of snow avalanche occurrence. Snow avalanche simulations are then carried out, resulting in synthetic statistics of avalanche geometry, volume, and runout for a return period of 300 years. These are compared with regionally observed statistics in the considered area, resulting in acceptable agreement. The proposed model allows long-term simulations of avalanche occurrences for evaluation of snow avalanche volume and runout, usable for ecological and geomorphologic purposes. Integration with an avalanche dynamics model would provide long-term avalanche hazard assessment for land use planning purposes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7d999c86af87442157721c5209ffcaee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":96972344,"asset_id":94546078,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/96972344/download_file?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="94546078"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94546078"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94546078; 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