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DOI10.1002/hyp.10899
Improving the spatial representation of soil properties and hydrology using topographically derived initialization processes in the SWAT model
Fuka, Daniel R.1; Collick, Amy S.2,5; Kleinman, Peter J. A.2; Auerbach, Daniel A.3,6; Harmel, R. Daren4; Easton, Zachary M.1
发表日期2016-11-29
ISSN0885-6087
卷号30期号:24页码:4633-4643
英文摘要

Topography exerts critical controls on many hydrologic, geomorphologic and biophysical processes. However, many watershed modelling systems use topographic data only to define basin boundaries and stream channels, neglecting opportunities to account for topographic controls on processes such as soil genesis, soil moisture distributions and hydrological response. Here, we demonstrate a method that uses topographic data to adjust spatial soil morphologic and hydrologic attributes: texture, depth to the C-horizon, saturated conductivity, bulk density, porosity and the water capacities at field (33 kpa) and wilting point (1500 kpa) tensions. As a proof of concept and initial performance test, the values of the topographically adjusted soil parameters and those from the Soil Survey Geographic Database (SSURGO; available at 1 : 20 000 scale) were compared with measured soil pedon pit data in the Grasslands Soil and Water Research Lab watershed in Riesel, TX. The topographically adjusted soils were better correlated with the pit measurements than were the SSURGO values. We then incorporated the topographically adjusted soils into an initialization of the Soil and Water Assessment Tool model for 15 Riesel research watersheds to investigate how changes in soil properties influence modelled hydrological responses at the field scale. The results showed that the topographically adjusted soils produced better runoff predictions in 50% of the fields, with the SSURGO soils performing better in the remainder. In addition, the a priori adjusted soils result in fewer calibrated model parameters. These results indicate that adjusting soil properties based on topography can result in more accurate soil characterization and, in some cases, improve model performance. Copyright (C) 2016 John Wiley & Sons, Ltd.


英文关键词SWAT model;infiltration excess runoff;soil characteristics;topography;surface characterization;Hortonian runoff;non-point source
语种英语
WOS记录号WOS:000388737900013
来源期刊HYDROLOGICAL PROCESSES
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/61086
作者单位1.Virginia Tech, Dept Biol Syst Engn, Blacksburg, VA 24061 USA;
2.USDA ARS, Pasture Syst & Watershed Management Res Unit, University Pk, PA USA;
3.Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY 14853 USA;
4.USDA ARS, Grassland Soil & Water Res Lab, Temple, TX 76502 USA;
5.Univ Maryland Eastern Shore, Dept Agr Food & Resource Sci, Princess Anne, MD 21853 USA;
6.US EPA, Off Wetlands Oceans & Watersheds, Washington, DC 20460 USA
推荐引用方式
GB/T 7714
Fuka, Daniel R.,Collick, Amy S.,Kleinman, Peter J. A.,et al. Improving the spatial representation of soil properties and hydrology using topographically derived initialization processes in the SWAT model[J]. 美国环保署,2016,30(24):4633-4643.
APA Fuka, Daniel R.,Collick, Amy S.,Kleinman, Peter J. A.,Auerbach, Daniel A.,Harmel, R. Daren,&Easton, Zachary M..(2016).Improving the spatial representation of soil properties and hydrology using topographically derived initialization processes in the SWAT model.HYDROLOGICAL PROCESSES,30(24),4633-4643.
MLA Fuka, Daniel R.,et al."Improving the spatial representation of soil properties and hydrology using topographically derived initialization processes in the SWAT model".HYDROLOGICAL PROCESSES 30.24(2016):4633-4643.
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