| Assessment of the applicability of the SWAT model in the Kezi River Basin |
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| DOI：10.7606/j.issn.1000-7601.2026.03.28 |
| Key Words: SWAT model spatial distribution regional scale Kezi River Basin |
| Author Name | Affiliation | | XU Dan | Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
Yunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Kunming, Yunnan 650500, China
Yunnan International Joint Laboratory of Intelligent Agricultural Engineering Technology and Equipment, Kunming, Yunnan 650500, China
Yunnan Intelligent Water\|Fertilizer\|Pesticide Integration Technology and Equipment Innovation Team, Kunming, Yunnan 650500, China | | WANG Haipeng | Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
Yunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Kunming, Yunnan 650500, China | | DONG Jianhua | Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
Yunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Kunming, Yunnan 650500, China | | ZENG Wenzhi | College of Agricultural Science and Engineering, Hohai University, Nanjing, Jiangsu 211100, China | | AO Chang | College of Agricultural Science and Engineering, Hohai University, Nanjing, Jiangsu 211100, China | | LIU Xiaogang | Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
Yunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Kunming, Yunnan 650500, China | | HUANG Jiesheng | State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, Hubei 430072, China |
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| Abstract: |
| To reveal the complex hydrological processes and their spatial heterogeneity in arid saline agricultural irrigation districts of Xinjiang, this study selected the Jiashi irrigation district in the Kezi River Basin as the study area and established a SWAT model incorporating irrigation schedules, winter/spring salt\|leaching practices, and major crop management measures. Runoff and crop yield data were used for multi\|objective calibration and validation, and the spatial distribution of different hydrological components within the irrigation district was further analyzed. The results showed that, after calibration and validation of the 13 most sensitive parameters in the SWAT model, the model demonstrated good simulation performance for runoff, cotton yield, and winter wheat yield, with coefficients of determination of 0.95, 0.61, and 0.65, respectively; and percentage biases of 1.36%, -3.06%, and -8.09%, respectively. Regarding the spatial distribution of hydrological components across sub\|basins, the maximum contributions of percolation, surface runoff, groundwater, and lateral flow were 340.97 mm, 51.75 mm, 313.56 mm, and 7.99 mm, respectively. Percolation generally decreased from the Kezi River toward both the northern and southern parts of the basin, surface runoff showed a decreasing trend from north to south, and higher contributions of groundwater and lateral flow were mainly concentrated in cultivated lands surrounding the basin. In conclusion, the SWAT model is applicable not only for runoff and crop yield simulation in agricultural irrigation districts of the Kezi River Basin, but also for characterizing the spatial heterogeneity of hydrological processes in arid irrigation areas. The study provides methodological support for agricultural water resources management and salinity control in similar regions. |
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