Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China
The Soil and Water Assessment Tool (SWAT) model is extensively used globally for hydrological and water quality assessments but encounters challenges in karst regions due to their complex surface and groundwater hydrological environments. This study aims to refine the delineation of hydrological res...
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MDPI AG
2025-01-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/15/2/192 |
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| author | Junfeng Dai Linyan Pan Yan Deng Zupeng Wan Rui Xia |
| author_facet | Junfeng Dai Linyan Pan Yan Deng Zupeng Wan Rui Xia |
| author_sort | Junfeng Dai |
| collection | DOAJ |
| description | The Soil and Water Assessment Tool (SWAT) model is extensively used globally for hydrological and water quality assessments but encounters challenges in karst regions due to their complex surface and groundwater hydrological environments. This study aims to refine the delineation of hydrological response units within the SWAT model by combining geomorphological classification and to enhance the model with an epikarst zone hydrological process module, exploring the accuracy improvement of SWAT model simulations in karst regions of Southwest China. Compared with the simulation results of the original SWAT model, we simulated runoff and nutrient concentrations in the Mudong watershed from January 2017 to December 2021 using the improved SWAT model. The simulation results indicated that the modified SWAT model responded more rapidly to precipitation events, particularly in bare karst landform, aligning more closely with the actual hydrological processes in Southwest China’s karst regions. In terms of the predictive accuracy for monthly loads of total nitrogen (TN) and total phosphorus (TP), the coefficient of determination (R<sup>2</sup>) value of the modified model increased by 10.3% and 9.7%, respectively, and the Nash–Sutcliffe efficiency coefficient (NSE) increased by 11.3% and 9.9%, respectively. The modified SWAT model improves prediction accuracy in karst areas and holds significant practical value for guiding non-point source pollution control in agricultural watersheds. |
| format | Article |
| id | doaj-art-d0b29e42054e4d39945632398e528a72 |
| institution | Kabale University |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-d0b29e42054e4d39945632398e528a722025-01-24T13:16:04ZengMDPI AGAgriculture2077-04722025-01-0115219210.3390/agriculture15020192Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest ChinaJunfeng Dai0Linyan Pan1Yan Deng2Zupeng Wan3Rui Xia4Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin University of Technology, Guilin 541004, ChinaCollege of Environment and Resources, Guangxi Normal University, Guilin 541006, ChinaCollege of Environment and Resources, Guangxi Normal University, Guilin 541006, ChinaGuangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin University of Technology, Guilin 541004, ChinaChinese Research Academy of Environmental Sciences, Beijing 100012, ChinaThe Soil and Water Assessment Tool (SWAT) model is extensively used globally for hydrological and water quality assessments but encounters challenges in karst regions due to their complex surface and groundwater hydrological environments. This study aims to refine the delineation of hydrological response units within the SWAT model by combining geomorphological classification and to enhance the model with an epikarst zone hydrological process module, exploring the accuracy improvement of SWAT model simulations in karst regions of Southwest China. Compared with the simulation results of the original SWAT model, we simulated runoff and nutrient concentrations in the Mudong watershed from January 2017 to December 2021 using the improved SWAT model. The simulation results indicated that the modified SWAT model responded more rapidly to precipitation events, particularly in bare karst landform, aligning more closely with the actual hydrological processes in Southwest China’s karst regions. In terms of the predictive accuracy for monthly loads of total nitrogen (TN) and total phosphorus (TP), the coefficient of determination (R<sup>2</sup>) value of the modified model increased by 10.3% and 9.7%, respectively, and the Nash–Sutcliffe efficiency coefficient (NSE) increased by 11.3% and 9.9%, respectively. The modified SWAT model improves prediction accuracy in karst areas and holds significant practical value for guiding non-point source pollution control in agricultural watersheds.https://www.mdpi.com/2077-0472/15/2/192modified SWATnon-point source pollutionkarstagriculture |
| spellingShingle | Junfeng Dai Linyan Pan Yan Deng Zupeng Wan Rui Xia Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China Agriculture modified SWAT non-point source pollution karst agriculture |
| title | Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China |
| title_full | Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China |
| title_fullStr | Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China |
| title_full_unstemmed | Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China |
| title_short | Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China |
| title_sort | modified swat model for agricultural watershed in karst area of southwest china |
| topic | modified SWAT non-point source pollution karst agriculture |
| url | https://www.mdpi.com/2077-0472/15/2/192 |
| work_keys_str_mv | AT junfengdai modifiedswatmodelforagriculturalwatershedinkarstareaofsouthwestchina AT linyanpan modifiedswatmodelforagriculturalwatershedinkarstareaofsouthwestchina AT yandeng modifiedswatmodelforagriculturalwatershedinkarstareaofsouthwestchina AT zupengwan modifiedswatmodelforagriculturalwatershedinkarstareaofsouthwestchina AT ruixia modifiedswatmodelforagriculturalwatershedinkarstareaofsouthwestchina |