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class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" border="0" alt="" src="//a.academia-assets.com/images/s200_no_pic.png" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Simon Lorentz</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://ukzn.academia.edu/">University of KwaZulu-Natal</a>, <a class="u-tcGrayDarker" href="https://ukzn.academia.edu/Departments/Centre_for_Water_Resources_Research/Documents">Centre for Water Resources Research</a>, <span class="u-tcGrayDarker">Adjunct</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Simon" data-follow-user-id="24552292" data-follow-user-source="profile_button" 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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 Simon Lorentz</h3></div><div class="js-work-strip profile--work_container" data-work-id="26380049"><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/26380049/Identification_of_runoff_generation_processes_using_combined_hydrometric_tracer_and_geophysical_methods_in_a_headwater_catchment_in_South_Africa_Identification_des_processus_de_g%C3%A9n%C3%A9ration_de_l%C3%A9coulement_par_combinaison_de_m%C3%A9thodes_hydrom%C3%A9triques_de_tra%C3%A7age_et_g%C3%A9ophysiques_dans_un_bassin_vers_"><img alt="Research paper thumbnail of Identification of runoff generation processes using combined hydrometric, tracer and geophysical methods in a headwater catchment in South Africa / Identification des processus de g茅n茅ration de l'茅coulement par combinaison de m茅thodes hydrom茅triques, de tra莽age et g茅ophysiques dans un bassin vers..." class="work-thumbnail" src="https://attachments.academia-assets.com/46683205/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/26380049/Identification_of_runoff_generation_processes_using_combined_hydrometric_tracer_and_geophysical_methods_in_a_headwater_catchment_in_South_Africa_Identification_des_processus_de_g%C3%A9n%C3%A9ration_de_l%C3%A9coulement_par_combinaison_de_m%C3%A9thodes_hydrom%C3%A9triques_de_tra%C3%A7age_et_g%C3%A9ophysiques_dans_un_bassin_vers_">Identification of runoff generation processes using combined hydrometric, tracer and geophysical methods in a headwater catchment in South Africa / Identification des processus de g茅n茅ration de l'茅coulement par combinaison de m茅thodes hydrom茅triques, de tra莽age et g茅ophysiques dans un bassin vers...</a></div><div class="wp-workCard_item"><span>Hydrological Sciences Journal Journal Des Sciences Hydrologiques</span><span>, Feb 1, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="321ec059401892d5e67b62153b06e321" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46683205,"asset_id":26380049,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46683205/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&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 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</script> <div class="js-work-strip profile--work_container" data-work-id="26380048"><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/26380048/Application_of_scintillation_and_remote_sensing_techniques_to_estimate_total_evaporation_in_the_Thukela_River_basin_S_Africa"><img alt="Research paper thumbnail of Application of scintillation and remote sensing techniques to estimate total evaporation in the Thukela River basin-S. Africa" class="work-thumbnail" src="https://attachments.academia-assets.com/46683204/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/26380048/Application_of_scintillation_and_remote_sensing_techniques_to_estimate_total_evaporation_in_the_Thukela_River_basin_S_Africa">Application of scintillation and remote sensing techniques to estimate total evaporation in the Thukela River basin-S. Africa</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Hydro-meteorological parameters, including total evaporation exhibit high spatial and temporal va...</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">Hydro-meteorological parameters, including total evaporation exhibit high spatial and temporal variation. These results from highly variable drivers such as rainfall and solar radiation, as well as heterogeneity arising from differences in land use, land cover, soil physical properties and are also subject to rapid changes in time and space. Total evaporation is the dominant component of the water balance in semi-arid and arid regions and is considered an important component in water resources planning. However, there are many challenges in determining its spatial and temporal variation over large areas of a river basin scale from ground measurement alone. In the past two decades, there has been significant progress in the development of satellite image processing algorithms for computing the amount and spatial distribution of total evaporation, most commonly as a residual of the surface energy balance. One such algorithm is the Surface Energy Balance Algorithm for Land (SEBAL). Thi...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="679f6314e81e889ccc5ef58ddd6586f7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46683204,"asset_id":26380048,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46683204/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&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="26380048"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380048"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380048; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380048]").text(description); $(".js-view-count[data-work-id=26380048]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380048; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380048']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380048, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "679f6314e81e889ccc5ef58ddd6586f7" } } $('.js-work-strip[data-work-id=26380048]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380048,"title":"Application of scintillation and remote sensing techniques to estimate total evaporation in the Thukela River basin-S. 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In this paper, a research catchment on a Molteno formation in the northern Eastern Cape Province is described. Flow generation mechanisms on the hillslopes and nested sub-catchments have been studied for the past five years, prior to a change in land use to forestation. Observations of overland flow, soil water, perched saturated groundwater, rainfall and runoff are combined with 2H and 18O tracer signatures from these sources. These combined observations are applied to hillslope and catchment process simulations in order to quantify the residence times and fluxes of the sources of runoff. Analyses of intense rainfall events reveal that the dominant source of streamflow is from near-surface, macro-pore layers during these events. Deeper groundwater sources co...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26380047"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380047"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380047; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380047]").text(description); $(".js-view-count[data-work-id=26380047]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380047; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380047']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380047, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26380047]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380047,"title":"Combining hydrometry observations with 2H and 18O tracers in Molteno formations, South Africa","translated_title":"","metadata":{"abstract":"The definition of flow generation mechanisms at the hillslope and small catchment scale (less than 10 sq. km) is important in quantifying runoff generation, low flow contributions as well as the consequences of land use change. 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A Case Study from the Eastern Cape Province, South Africa</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="35ab6581623f9fa3cbb5f4baa6b8c274" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46683201,"asset_id":26380046,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46683201/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&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="26380046"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380046"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380046; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380046]").text(description); $(".js-view-count[data-work-id=26380046]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380046; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380046']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380046, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "35ab6581623f9fa3cbb5f4baa6b8c274" } } $('.js-work-strip[data-work-id=26380046]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380046,"title":"Integrated Wetland and Landscape Modeling. A Case Study from the Eastern Cape Province, South Africa","translated_title":"","metadata":{"grobid_abstract":"Wetlands are very sensitive to ecosystem changes, so integrated analyses and modeling of their process dynamics as well as their interaction with other hydrologic and ecological components provide valuable information for impact assessment. However, since wetland processes are complex, research methods aiming to improve the understanding of wetland dynamics in a landscape perspective must comprise a multidisciplinary and integrated approach. Thus, a project was initiated to model the landscape dynamics of afforestation and their effects on wetlands in the semi-arid Umzimvubu basin, South Africa. 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Hydrometric observations, geophysical techniques and isotope sampling have been combined to define and quantify a range of hillslope responses in these catchments. These hillslope responses have been grouped into typical pedohydrology catena behaviours and applied to the observed runoff responses using a transfer function model. The simulation model includes land segment units linked together to make up a catena response. Each land segment comprises four subsurface layers which are linked to layers in downslope land segments according to the pedohydrological response type. In applying the model to a large scale catchment (137sq.km), standard soil surveys maps are used to develop the hydropedological reponse types. The paper demonstrates the techiques of pedotransfer function development and application in research catchments on differing geologies and ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="87a0be46b8ba73437ca951bd38cee2c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46683200,"asset_id":26380045,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46683200/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&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="26380045"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380045"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380045; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380045]").text(description); $(".js-view-count[data-work-id=26380045]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380045; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380045']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380045, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "87a0be46b8ba73437ca951bd38cee2c1" } } $('.js-work-strip[data-work-id=26380045]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380045,"title":"Hillslope hydrological response using catena pedology","translated_title":"","metadata":{"abstract":"Hydrological responses of hillslopes have been observed in a number of small research catchments (1-2sq.km) throughout South Africa. 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380030]").text(description); $(".js-view-count[data-work-id=26380030]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380030; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380030']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380030, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9f581d651db9ffac6363e658caf1f0ef" } } $('.js-work-strip[data-work-id=26380030]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380030,"title":"Connectivity aspects in sediment migration modelling using the Soil and Water Assessment Tool","translated_title":"","metadata":{"grobid_abstract":"Sediment migration modelling at the catchment scale is complicated by various connectivity aspects between sources and sinks, including the extent that sediment generated on hillslopes is connected to a channel and linkage with in a channel network. The So il and Water Assessment Tool (SWAT) is applied within the context of connectivity in a catchment (Mkabela near Wartburg, South Africa) with identified source (cabbage plot) and sink (farm dams and wetlands) zones. The study illustrates SWAT can be applied in scenario analysis to assess connectivity aspects in sediment migration modelling. Scenario analyses establish the extent that sediment outputs from the cabbage plot create input for downstream sub-catchments, as well as the impact of farm dams and wet lands on sediment yield at the catchment scale. SWAT effectively identifies the cabbage plot as an important source of sediment at sub-catchment scale, but the sediment is not spatially identified within the sub-catchment where it is located and all the sediment is modelled to reach the channel, whether connected or not. Despite this, no significant changes are simulated by SWAT at the catchment outlet since increased discharge and sediment load fro m the cabbage plot is counterbalanced by sinks at the catchment scale. The effect of sediment sinks becomes dominant over sediment sources with increasing spatial scale. The channel serves as an important sink zone due to its relatively rough surface conditions. The model also appears to be efficient in representing farm dams as a series of storages where connectivity is reduced at the catchment scale, but sediment deposited in farm dams mainly orig inates fro m surrounding sugarcane fields, not the cabbage plot. SWAT could not correctly identify wetlands as sink zones for cabbage sediment since, in contrary to farm dams, wet lands in SWAT are simu lated off the main channel and water or sediment flowing into the wetlands must originate fro m the sub-catchment in which they are located. The suitability of SWAT for use in connectivity studies is discussed in the context of these findings.","grobid_abstract_attachment_id":46683192},"translated_abstract":null,"internal_url":"https://www.academia.edu/26380030/Connectivity_aspects_in_sediment_migration_modelling_using_the_Soil_and_Water_Assessment_Tool","translated_internal_url":"","created_at":"2016-06-21T11:39:52.469-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":24552292,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":46683192,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46683192/thumbnails/1.jpg","file_name":"10.5923.j.geo.20130301.01.pdf","download_url":"https://www.academia.edu/attachments/46683192/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Connectivity_aspects_in_sediment_migrati.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46683192/10.5923.j.geo.20130301.01-libre.pdf?1466534792=\u0026response-content-disposition=attachment%3B+filename%3DConnectivity_aspects_in_sediment_migrati.pdf\u0026Expires=1733004703\u0026Signature=ICXqzV3N~U~gkjZY~EX1KpLCbRK6Kc33xYDSbNqBhXuKdghbFgdikxjZ~F~BiDDafDjGAAXn7t8tspIazgacaRa-~WRXMF-X9Y4V8n4cU58WrkNtjOUOKWnieyeRv7IJJFSTHMXEsiJrgD2TN06zYqzrS6EjiDM4iJa~9~dcAGFDXmmhof1gGWqWzJgYCHzcWtBuPU5eBVUmWclc-tJorYGNBgsAGadCAvl5iVAP8omQ~TQYruVKiTkHbLZM5cBBRShzDSB9mFLTLJcEFnWZ1NXfEVJIDucQ-4G2XU2XITR7bIu2-lB5Wdpk7PKGdzXl8ePa3x4mrnzB13fOgUdOOg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Connectivity_aspects_in_sediment_migration_modelling_using_the_Soil_and_Water_Assessment_Tool","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":24552292,"first_name":"Simon","middle_initials":null,"last_name":"Lorentz","page_name":"SimonLorentz","domain_name":"ukzn","created_at":"2015-01-08T19:53:51.199-08:00","display_name":"Simon Lorentz","url":"https://ukzn.academia.edu/SimonLorentz"},"attachments":[{"id":46683192,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46683192/thumbnails/1.jpg","file_name":"10.5923.j.geo.20130301.01.pdf","download_url":"https://www.academia.edu/attachments/46683192/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Connectivity_aspects_in_sediment_migrati.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46683192/10.5923.j.geo.20130301.01-libre.pdf?1466534792=\u0026response-content-disposition=attachment%3B+filename%3DConnectivity_aspects_in_sediment_migrati.pdf\u0026Expires=1733004703\u0026Signature=ICXqzV3N~U~gkjZY~EX1KpLCbRK6Kc33xYDSbNqBhXuKdghbFgdikxjZ~F~BiDDafDjGAAXn7t8tspIazgacaRa-~WRXMF-X9Y4V8n4cU58WrkNtjOUOKWnieyeRv7IJJFSTHMXEsiJrgD2TN06zYqzrS6EjiDM4iJa~9~dcAGFDXmmhof1gGWqWzJgYCHzcWtBuPU5eBVUmWclc-tJorYGNBgsAGadCAvl5iVAP8omQ~TQYruVKiTkHbLZM5cBBRShzDSB9mFLTLJcEFnWZ1NXfEVJIDucQ-4G2XU2XITR7bIu2-lB5Wdpk7PKGdzXl8ePa3x4mrnzB13fOgUdOOg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":70524,"name":"Geosciences","url":"https://www.academia.edu/Documents/in/Geosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(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="2387033" id="papers"><div class="js-work-strip profile--work_container" data-work-id="26380049"><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/26380049/Identification_of_runoff_generation_processes_using_combined_hydrometric_tracer_and_geophysical_methods_in_a_headwater_catchment_in_South_Africa_Identification_des_processus_de_g%C3%A9n%C3%A9ration_de_l%C3%A9coulement_par_combinaison_de_m%C3%A9thodes_hydrom%C3%A9triques_de_tra%C3%A7age_et_g%C3%A9ophysiques_dans_un_bassin_vers_"><img alt="Research paper thumbnail of Identification of runoff generation processes using combined hydrometric, tracer and geophysical methods in a headwater catchment in South Africa / Identification des processus de g茅n茅ration de l'茅coulement par combinaison de m茅thodes hydrom茅triques, de tra莽age et g茅ophysiques dans un bassin vers..." class="work-thumbnail" src="https://attachments.academia-assets.com/46683205/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/26380049/Identification_of_runoff_generation_processes_using_combined_hydrometric_tracer_and_geophysical_methods_in_a_headwater_catchment_in_South_Africa_Identification_des_processus_de_g%C3%A9n%C3%A9ration_de_l%C3%A9coulement_par_combinaison_de_m%C3%A9thodes_hydrom%C3%A9triques_de_tra%C3%A7age_et_g%C3%A9ophysiques_dans_un_bassin_vers_">Identification of runoff generation processes using combined hydrometric, tracer and geophysical methods in a headwater catchment in South Africa / Identification des processus de g茅n茅ration de l'茅coulement par combinaison de m茅thodes hydrom茅triques, de tra莽age et g茅ophysiques dans un bassin vers...</a></div><div class="wp-workCard_item"><span>Hydrological Sciences Journal Journal Des Sciences Hydrologiques</span><span>, Feb 1, 2008</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="321ec059401892d5e67b62153b06e321" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46683205,"asset_id":26380049,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46683205/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&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="26380049"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380049"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380049; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380049]").text(description); $(".js-view-count[data-work-id=26380049]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380049; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380049']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380049, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "321ec059401892d5e67b62153b06e321" } } $('.js-work-strip[data-work-id=26380049]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380049,"title":"Identification of runoff generation processes using combined hydrometric, tracer and geophysical methods in a headwater catchment in South Africa / Identification des processus de g茅n茅ration de l'茅coulement par combinaison de m茅thodes hydrom茅triques, de tra莽age et g茅ophysiques dans un bassin vers...","translated_title":"","metadata":{"grobid_abstract":"Classical hydrometric measurements and detailed 2-D electrical resistivity imaging (ERI) surveys were combined with tracer sampling to identify the hydrological processes in a semi-arid headwater catchment in the Eastern Cape Province of South Africa. The analysis of precipitation and runoff events emphasized the strong link between precipitation and runoff formation characteristics. Soil water tension and groundwater level observations demonstrated the development of a perched water table within the soil layer. These results are supported by tracer-based runoff component separations and illustrate the important role of the shallow subsurface component. The ERI investigation permitted further insight into the structure of the subsurface. Finally, the ERI survey, in combination with time domain reflectometry (TDR) measurements, allowed the extrapolation of selective soil water content measurements. To summarize, the application and combination of different field methods led to the development of a conceptual model of the hydrological functioning of this catchment. 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</script> <div class="js-work-strip profile--work_container" data-work-id="26380048"><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/26380048/Application_of_scintillation_and_remote_sensing_techniques_to_estimate_total_evaporation_in_the_Thukela_River_basin_S_Africa"><img alt="Research paper thumbnail of Application of scintillation and remote sensing techniques to estimate total evaporation in the Thukela River basin-S. Africa" class="work-thumbnail" src="https://attachments.academia-assets.com/46683204/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/26380048/Application_of_scintillation_and_remote_sensing_techniques_to_estimate_total_evaporation_in_the_Thukela_River_basin_S_Africa">Application of scintillation and remote sensing techniques to estimate total evaporation in the Thukela River basin-S. Africa</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Hydro-meteorological parameters, including total evaporation exhibit high spatial and temporal va...</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">Hydro-meteorological parameters, including total evaporation exhibit high spatial and temporal variation. These results from highly variable drivers such as rainfall and solar radiation, as well as heterogeneity arising from differences in land use, land cover, soil physical properties and are also subject to rapid changes in time and space. Total evaporation is the dominant component of the water balance in semi-arid and arid regions and is considered an important component in water resources planning. However, there are many challenges in determining its spatial and temporal variation over large areas of a river basin scale from ground measurement alone. In the past two decades, there has been significant progress in the development of satellite image processing algorithms for computing the amount and spatial distribution of total evaporation, most commonly as a residual of the surface energy balance. One such algorithm is the Surface Energy Balance Algorithm for Land (SEBAL). Thi...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="679f6314e81e889ccc5ef58ddd6586f7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46683204,"asset_id":26380048,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46683204/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&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="26380048"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380048"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380048; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380048]").text(description); $(".js-view-count[data-work-id=26380048]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380048; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380048']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380048, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "679f6314e81e889ccc5ef58ddd6586f7" } } $('.js-work-strip[data-work-id=26380048]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380048,"title":"Application of scintillation and remote sensing techniques to estimate total evaporation in the Thukela River basin-S. Africa","translated_title":"","metadata":{"abstract":"Hydro-meteorological parameters, including total evaporation exhibit high spatial and temporal variation. These results from highly variable drivers such as rainfall and solar radiation, as well as heterogeneity arising from differences in land use, land cover, soil physical properties and are also subject to rapid changes in time and space. Total evaporation is the dominant component of the water balance in semi-arid and arid regions and is considered an important component in water resources planning. However, there are many challenges in determining its spatial and temporal variation over large areas of a river basin scale from ground measurement alone. In the past two decades, there has been significant progress in the development of satellite image processing algorithms for computing the amount and spatial distribution of total evaporation, most commonly as a residual of the surface energy balance. One such algorithm is the Surface Energy Balance Algorithm for Land (SEBAL). Thi..."},"translated_abstract":"Hydro-meteorological parameters, including total evaporation exhibit high spatial and temporal variation. These results from highly variable drivers such as rainfall and solar radiation, as well as heterogeneity arising from differences in land use, land cover, soil physical properties and are also subject to rapid changes in time and space. Total evaporation is the dominant component of the water balance in semi-arid and arid regions and is considered an important component in water resources planning. However, there are many challenges in determining its spatial and temporal variation over large areas of a river basin scale from ground measurement alone. In the past two decades, there has been significant progress in the development of satellite image processing algorithms for computing the amount and spatial distribution of total evaporation, most commonly as a residual of the surface energy balance. One such algorithm is the Surface Energy Balance Algorithm for Land (SEBAL). 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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="26380047"><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/26380047/Combining_hydrometry_observations_with_2H_and_18O_tracers_in_Molteno_formations_South_Africa"><img alt="Research paper thumbnail of Combining hydrometry observations with 2H and 18O tracers in Molteno formations, South Africa" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/26380047/Combining_hydrometry_observations_with_2H_and_18O_tracers_in_Molteno_formations_South_Africa">Combining hydrometry observations with 2H and 18O tracers in Molteno formations, South Africa</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The definition of flow generation mechanisms at the hillslope and small catchment scale (less tha...</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 definition of flow generation mechanisms at the hillslope and small catchment scale (less than 10 sq. km) is important in quantifying runoff generation, low flow contributions as well as the consequences of land use change. In this paper, a research catchment on a Molteno formation in the northern Eastern Cape Province is described. Flow generation mechanisms on the hillslopes and nested sub-catchments have been studied for the past five years, prior to a change in land use to forestation. Observations of overland flow, soil water, perched saturated groundwater, rainfall and runoff are combined with 2H and 18O tracer signatures from these sources. These combined observations are applied to hillslope and catchment process simulations in order to quantify the residence times and fluxes of the sources of runoff. Analyses of intense rainfall events reveal that the dominant source of streamflow is from near-surface, macro-pore layers during these events. Deeper groundwater sources co...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26380047"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380047"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380047; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380047]").text(description); $(".js-view-count[data-work-id=26380047]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380047; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380047']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380047, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=26380047]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380047,"title":"Combining hydrometry observations with 2H and 18O tracers in Molteno formations, South Africa","translated_title":"","metadata":{"abstract":"The definition of flow generation mechanisms at the hillslope and small catchment scale (less than 10 sq. km) is important in quantifying runoff generation, low flow contributions as well as the consequences of land use change. In this paper, a research catchment on a Molteno formation in the northern Eastern Cape Province is described. Flow generation mechanisms on the hillslopes and nested sub-catchments have been studied for the past five years, prior to a change in land use to forestation. Observations of overland flow, soil water, perched saturated groundwater, rainfall and runoff are combined with 2H and 18O tracer signatures from these sources. These combined observations are applied to hillslope and catchment process simulations in order to quantify the residence times and fluxes of the sources of runoff. Analyses of intense rainfall events reveal that the dominant source of streamflow is from near-surface, macro-pore layers during these events. Deeper groundwater sources co..."},"translated_abstract":"The definition of flow generation mechanisms at the hillslope and small catchment scale (less than 10 sq. km) is important in quantifying runoff generation, low flow contributions as well as the consequences of land use change. In this paper, a research catchment on a Molteno formation in the northern Eastern Cape Province is described. Flow generation mechanisms on the hillslopes and nested sub-catchments have been studied for the past five years, prior to a change in land use to forestation. Observations of overland flow, soil water, perched saturated groundwater, rainfall and runoff are combined with 2H and 18O tracer signatures from these sources. These combined observations are applied to hillslope and catchment process simulations in order to quantify the residence times and fluxes of the sources of runoff. Analyses of intense rainfall events reveal that the dominant source of streamflow is from near-surface, macro-pore layers during these events. Deeper groundwater sources co...","internal_url":"https://www.academia.edu/26380047/Combining_hydrometry_observations_with_2H_and_18O_tracers_in_Molteno_formations_South_Africa","translated_internal_url":"","created_at":"2016-06-21T11:39:55.962-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":24552292,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Combining_hydrometry_observations_with_2H_and_18O_tracers_in_Molteno_formations_South_Africa","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":24552292,"first_name":"Simon","middle_initials":null,"last_name":"Lorentz","page_name":"SimonLorentz","domain_name":"ukzn","created_at":"2015-01-08T19:53:51.199-08:00","display_name":"Simon Lorentz","url":"https://ukzn.academia.edu/SimonLorentz"},"attachments":[],"research_interests":[{"id":43996,"name":"Land Use Change","url":"https://www.academia.edu/Documents/in/Land_Use_Change"},{"id":61866,"name":"South Africa","url":"https://www.academia.edu/Documents/in/South_Africa"},{"id":99038,"name":"Process Simulation","url":"https://www.academia.edu/Documents/in/Process_Simulation"},{"id":109291,"name":"Land Use","url":"https://www.academia.edu/Documents/in/Land_Use"},{"id":969420,"name":"Overland Flow","url":"https://www.academia.edu/Documents/in/Overland_Flow"},{"id":980672,"name":"Perch","url":"https://www.academia.edu/Documents/in/Perch"},{"id":984993,"name":"Residence Time","url":"https://www.academia.edu/Documents/in/Residence_Time"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26380046"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/26380046/Integrated_Wetland_and_Landscape_Modeling_A_Case_Study_from_the_Eastern_Cape_Province_South_Africa"><img alt="Research paper thumbnail of Integrated Wetland and Landscape Modeling. 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$(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="26380045"><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/26380045/Hillslope_hydrological_response_using_catena_pedology"><img alt="Research paper thumbnail of Hillslope hydrological response using catena pedology" class="work-thumbnail" src="https://attachments.academia-assets.com/46683200/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/26380045/Hillslope_hydrological_response_using_catena_pedology">Hillslope hydrological response using catena pedology</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Hydrological responses of hillslopes have been observed in a number of small research catchments ...</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">Hydrological responses of hillslopes have been observed in a number of small research catchments (1-2sq.km) throughout South Africa. Hydrometric observations, geophysical techniques and isotope sampling have been combined to define and quantify a range of hillslope responses in these catchments. These hillslope responses have been grouped into typical pedohydrology catena behaviours and applied to the observed runoff responses using a transfer function model. The simulation model includes land segment units linked together to make up a catena response. Each land segment comprises four subsurface layers which are linked to layers in downslope land segments according to the pedohydrological response type. In applying the model to a large scale catchment (137sq.km), standard soil surveys maps are used to develop the hydropedological reponse types. The paper demonstrates the techiques of pedotransfer function development and application in research catchments on differing geologies and ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="87a0be46b8ba73437ca951bd38cee2c1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46683200,"asset_id":26380045,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46683200/download_file?st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMzAwMTEwMyw4LjIyMi4yMDguMTQ2&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="26380045"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26380045"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26380045; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26380045]").text(description); $(".js-view-count[data-work-id=26380045]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26380045; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26380045']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26380045, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "87a0be46b8ba73437ca951bd38cee2c1" } } $('.js-work-strip[data-work-id=26380045]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26380045,"title":"Hillslope hydrological response using catena pedology","translated_title":"","metadata":{"abstract":"Hydrological responses of hillslopes have been observed in a number of small research catchments (1-2sq.km) throughout South Africa. Hydrometric observations, geophysical techniques and isotope sampling have been combined to define and quantify a range of hillslope responses in these catchments. These hillslope responses have been grouped into typical pedohydrology catena behaviours and applied to the observed runoff responses using a transfer function model. The simulation model includes land segment units linked together to make up a catena response. Each land segment comprises four subsurface layers which are linked to layers in downslope land segments according to the pedohydrological response type. In applying the model to a large scale catchment (137sq.km), standard soil surveys maps are used to develop the hydropedological reponse types. The paper demonstrates the techiques of pedotransfer function development and application in research catchments on differing geologies and ...","ai_title_tag":"Analyzing Hillslope Hydrology through Catena Pedology"},"translated_abstract":"Hydrological responses of hillslopes have been observed in a number of small research catchments (1-2sq.km) throughout South Africa. Hydrometric observations, geophysical techniques and isotope sampling have been combined to define and quantify a range of hillslope responses in these catchments. These hillslope responses have been grouped into typical pedohydrology catena behaviours and applied to the observed runoff responses using a transfer function model. The simulation model includes land segment units linked together to make up a catena response. Each land segment comprises four subsurface layers which are linked to layers in downslope land segments according to the pedohydrological response type. In applying the model to a large scale catchment (137sq.km), standard soil surveys maps are used to develop the hydropedological reponse types. 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The So il and Water Assessment Tool (SWAT) is applied within the context of connectivity in a catchment (Mkabela near Wartburg, South Africa) with identified source (cabbage plot) and sink (farm dams and wetlands) zones. The study illustrates SWAT can be applied in scenario analysis to assess connectivity aspects in sediment migration modelling. Scenario analyses establish the extent that sediment outputs from the cabbage plot create input for downstream sub-catchments, as well as the impact of farm dams and wet lands on sediment yield at the catchment scale. SWAT effectively identifies the cabbage plot as an important source of sediment at sub-catchment scale, but the sediment is not spatially identified within the sub-catchment where it is located and all the sediment is modelled to reach the channel, whether connected or not. Despite this, no significant changes are simulated by SWAT at the catchment outlet since increased discharge and sediment load fro m the cabbage plot is counterbalanced by sinks at the catchment scale. The effect of sediment sinks becomes dominant over sediment sources with increasing spatial scale. The channel serves as an important sink zone due to its relatively rough surface conditions. The model also appears to be efficient in representing farm dams as a series of storages where connectivity is reduced at the catchment scale, but sediment deposited in farm dams mainly orig inates fro m surrounding sugarcane fields, not the cabbage plot. SWAT could not correctly identify wetlands as sink zones for cabbage sediment since, in contrary to farm dams, wet lands in SWAT are simu lated off the main channel and water or sediment flowing into the wetlands must originate fro m the sub-catchment in which they are located. 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