4.7 Article

Watershed scale evaluation of an improved SWAT auto-irrigation function

期刊

ENVIRONMENTAL MODELLING & SOFTWARE
卷 131, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2020.104789

关键词

Auto-irrigation method; Management allowed depletion; Soil water depletion; Plant water demand; Streamflow; Crop yield

资金

  1. Ogallala Aquifer Program
  2. USDA-Agricultural Research Service
  3. Kansas State University
  4. Texas A&M AgriLife Research
  5. Texas A&M AgriLife Extension Service
  6. Texas Tech University
  7. West Texas AM University

向作者/读者索取更多资源

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%.

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