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DOI | 10.1002/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 |
ISSN | 0885-6087 |
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
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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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