Watershed scale evaluation of an improved SWAT auto-irrigation function

被引:14
作者
Chen, Yong [1 ]
Marek, Gary W. [2 ]
Marek, Thomas H. [3 ]
Porter, Dana O. [4 ]
Moorhead, Jerry E. [2 ]
Heflin, Kevin R. [3 ]
Brauer, David K. [2 ]
Srinivasan, Raghavan [1 ]
机构
[1] Texas A&M Univ, Dept Ecosyst Sci & Management, 2138 TAMU, College Stn, TX 77843 USA
[2] USDA ARS, Conservat & Prod Res Lab, 300 Simmons Rd,Unit 10, Bushland, TX 79012 USA
[3] Texas A&M AgriLife Res & Extens Ctr Amarillo, 6500 Amarillo Blvd W, Amarillo, TX 79106 USA
[4] Texas A&M AgriLife Res & Extens Ctr Lubbock, 1102 E Drew St, Lubbock, TX 79403 USA
关键词
Auto-irrigation method; Management allowed depletion; Soil water depletion; Plant water demand; Streamflow; Crop yield; HIGH-PLAINS; CROPPING SYSTEMS; MODEL; PERFORMANCE; CALIBRATION; RESPONSES; CLIMATE; CROPS; BASIN; FIELD;
D O I
10.1016/j.envsoft.2020.104789
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The SWAT model is a well-documented hydrologic model. However, some studies report that the existing SWAT auto-irrigation methods are unable to represent actual irrigation management, particularly in intensively irrigated regions. In the U.S. Great Plains, the SWAT model does not reproduce the management allowed depletion (MAD) irrigation scheduling commonly used by researchers and producers. To this purpose, the SWAT source code has been modified to include the MAD auto-irrigation function. This study evaluated the performance of the soil water content (SWC), corrected soil water content (CSWC), plant water demand (PWD), and MAD autoirrigation methods in streamflow and irrigation simulations by comparison with observed data. The CSWC and MAD methods performed the best in streamflow simulations with NSE > 0.75 and PBIAS within +/- 11%. Comparisons of simulated irrigation with the field irrigation also indicated the CSWC and MAD methods outperformed other methods with the NSE > 0.75 and PBIAS within +/- 5%.
引用
收藏
页数:12
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