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Wetness index based on landscape position and topography (WILT): Modifying TWI to reflect landscape position

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dc.contributor.authorMeles, Menberu B.en
dc.contributor.authorYounger, Seth E.en
dc.contributor.authorJackson, C. Rhetten
dc.contributor.authorDu, Enhaoen
dc.contributor.authorDrover, Damion R.en
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.date.accessioned2021-04-06T14:27:33Zen
dc.date.available2021-04-06T14:27:33Zen
dc.date.issued2020-02-01en
dc.description.abstractWater and land resource management planning benefits greatly from accurate prediction and understanding of the spatial distribution of wetness. The topographic wetness index (TWI) was conceived to predict relative surface wetness, and thus hydrologic responsiveness, across a watershed based on the assumption that shallow slope-parallel flow is a major driver of the movement and distribution of soil water. The index has been extensively used in modeling of landscape characteristics responsive to wetness, and some studies have shown the TWI performs well in landscapes where interflow is a dominant process. However, groundwater flow dominates the hydrology of low-slope landscapes with high subsurface conductivities, and the TWI assumptions are not likely to perform well in such environments. For groundwater dominated systems, we propose a hybrid wetness index (Wetness Index based on Landscape position and Topography, WILT) that inversely weights the upslope contributing area by the distance to the nearest surface water feature and the depth to groundwater. When explicit depth to groundwater data are not available, height above and separation from surface water features can act as surrogates for proximity to groundwater. The resulting WILT map provides a more realistic spatial distribution of relative wetness across a low-slope Coastal Plain landscape as demonstrated by improved prediction of hydric soils, depth to groundwater, nitrogen and carbon concentrations in the A horizon of the soil profile, and sensitivity to DEM scale.en
dc.description.adminPublic domain – authored by a U.S. government employeeen
dc.description.notesThis research was implemented as part of large-scale collaborative investigation of dominant hydrologic processes within small watersheds of the Sandhills of South Carolina within the Savannah River Site (SRS). SRS is a National Environmental Research Park. Support was provided by the Department of Energy-Bioenergy Technologies Office and Savannah River Operations Office through the U.S. Forest Service Savannah River under Interagency Agreement DE-AI09-00SR22188.en
dc.description.sponsorshipDepartment of Energy-Bioenergy Technologies Office and Savannah River Operations Office through the U.S. Forest Service Savannah River under Interagency Agreement [DE-AI09-00SR22188]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.jenvman.2019.109863en
dc.identifier.eissn1095-8630en
dc.identifier.issn0301-4797en
dc.identifier.other109863en
dc.identifier.pmid31790867en
dc.identifier.urihttp://hdl.handle.net/10919/102953en
dc.identifier.volume255en
dc.language.isoenen
dc.rightsPublic Domainen
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/en
dc.subjectWILTen
dc.subjectTopographic wetness indexen
dc.subjectRelative landscape positionen
dc.subjectDepth to groundwateren
dc.subjectHydric soilen
dc.titleWetness index based on landscape position and topography (WILT): Modifying TWI to reflect landscape positionen
dc.title.serialJournal of Environmental Managementen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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