SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Sediment delivery estimates in water quality models altered by resolution and source of topographic data 
Authors:Beeson, P.C., A.M. Sadeghi, M.W. Lang, M.D. Tomer and C.S.T. Daughtry 
Journal:Journal of Environmental Quality 
Volume (Issue):43(1) 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic and pollutant 
Primary Application Category:DEM data resolution effects 
Secondary Application Category:sediment loss and transport 
Watershed Description:788 km^2 South Fork of the Iowa River in north central Iowa, U.S. 
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Abstract:Moderate-resolution (30-m) digital elevation models (DEMs)are normally used to estimate slope for the parameterization of non–point source, process-based water quality models. These models, such as the Soil and Water Assessment Tool (SWAT), use the Universal Soil Loss Equation (USLE) and Modified USLE to estimate sediment loss. The slope length and steepness factor, a critical parameter in USLE, significantly affects sediment loss estimates. Depending on slope range, a twofold difference in slope estimation potentially results in as little as 50% change or as much as 250% change in the LS factor and subsequent sediment estimation. Recently, the availability of much fi ner-resolution (~3 m) DEMs derived from Light Detection and Ranging (LiDAR)data has increased. However, the use of these data may not always be appropriate because slope values derived from fi ne spatial resolution DEMs are usually significantly higher than slopes derived from coarser DEMs. This increased slope results in considerable variability in modeled sediment output. This paper addresses the implications of parameterizing models using slope values calculated from DEMs with different spatial resolutions (90, 30, 10, and 3 m) and sources. Overall, we observed over a 2.5-fold increase in slope when using a 3-m instead of a 90-m DEM, which increased modeled soil loss using the USLE calculation by 130%. Care should be taken when using LiDAR-derived DEMs to parameterize water quality models because doing so can result in signifi cantly higher slopes, which considerably alter modeled sediment loss.