Literature DB >> 25602535

Use of the soil and water assessment tool to scale sediment delivery from field to watershed in an agricultural landscape with topographic depressions.

James E Almendinger, Marylee S Murphy, Jason S Ulrich.   

Abstract

For two watersheds in the northern Midwest United States, we show that landscape depressions have a significant impact on watershed hydrology and sediment yields and that the Soil and Water Assessment Tool (SWAT) has appropriate features to simulate these depressions. In our SWAT models of the Willow River in Wisconsin and the Sunrise River in Minnesota, we used Pond and Wetland features to capture runoff from about 40% of the area in each watershed. These depressions trapped considerable sediment, yet further reductions in sediment yield were required for calibration and achieved by reducing the Universal Soil Loss Equation (USLE) cropping-practice (P) factor to 0.40 to 0.45. We suggest terminology to describe annual sediment yields at different conceptual spatial scales and show how SWAT output can be partitioned to extract data at each of these scales. These scales range from plot-scale yields calculated with the USLE to watershed-scale yields measured at the outlet. Intermediate scales include field, upland, pre-riverine, and riverine scales, in descending order along the conceptual flow path from plot to outlet. Sediment delivery ratios, when defined as watershed-scale yields as a percentage of plot-scale yields, ranged from 1% for the Willow watershed (717 km) to 7% for the Sunrise watershed (991 km). Sediment delivery ratios calculated from published relations based on watershed area alone were about 5 to 6%, closer to pre-riverine-scale yields in our watersheds.
Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Entities:  

Year:  2014        PMID: 25602535     DOI: 10.2134/jeq2011.0340

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  3 in total

Review 1.  Applicability of water quality models around the world-a review.

Authors:  Cássia Monteiro da Silva Burigato Costa; Leidiane da Silva Marques; Aleska Kaufmann Almeida; Izabel Rodrigues Leite; Isabel Kaufmann de Almeida
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-23       Impact factor: 4.223

2.  Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters.

Authors:  Adnan Rajib; Grey R Evenson; Heather E Golden; Charles R Lane
Journal:  J Hydrol (Amst)       Date:  2018-12-01       Impact factor: 5.722

3.  Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions.

Authors:  Adnan Rajib; Heather E Golden; Charles R Lane; Qiusheng Wu
Journal:  Water Resour Res       Date:  2020-07-06       Impact factor: 5.240

  3 in total

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