Modified SWAT Model for Agricultural Watershed in Karst Area of Southwest China

被引:0
|
作者
Dai, Junfeng [1 ]
Pan, Linyan [2 ,3 ]
Deng, Yan [2 ,3 ]
Wan, Zupeng [1 ]
Xia, Rui [4 ]
机构
[1] Guilin Univ Technol, Guangxi Key Lab Environm Pollut Control Theory & T, Guilin 541004, Peoples R China
[2] Guangxi Normal Univ, Coll Environm & Resources, Guilin 541006, Peoples R China
[3] Guangxi Normal Univ, Univ Engn Res Ctr Green Remediat & Low Carbon Dev, Guangxi Key Lab Environm Proc & Remediat Ecol Frag, Guilin 541006, Peoples R China
[4] Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China
来源
AGRICULTURE-BASEL | 2025年 / 15卷 / 02期
基金
中国国家自然科学基金;
关键词
modified SWAT; non-point source pollution; karst; agriculture; NONPOINT-SOURCE POLLUTION; ASSESSMENT-TOOL; GROUNDWATER; NITROGEN; SIMULATION; MANAGEMENT; SOIL; CALIBRATION; HYDROLOGY; TRANSPORT;
D O I
10.3390/agriculture15020192
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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 (R2) 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.
引用
收藏
页数:18
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