将源水连接整合到SWAT中,以在山地流域的热点导向的管理
Yanan Wang1, Guishan Yang2, Weixin Ou3
1College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, 210098, China; Key Laboratory of Hydrologic-Cycle and Hydrodynamic-System of Ministry of Water Resources, Hohai University, Nanjing, 210098, China.
Journal of environmental management
|December 6, 2025
概括
一个新的源水连接指数 (SWCI) 集成到SWAT+模型中,可以改善在山区的污染热点的识别. 这种增强的模型准确地模拟了负载,有助于有针对性的水质管理.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 水质管理水质管理
背景情况:
- 农业和城市地区的污染对山地水域的水质构成了重大挑战.
- 准确识别污染热点对于有效的减缓战略至关重要.
研究的目的:
- 将源水连接指数 (SWCI) 整合到土壤和水评估工具加 (SWAT+) 模型中.
- 加强对负载分布的评估,并确定山地流域的污染热点.
主要方法:
- 将SWCI集成到SWAT+模型中.
- 模拟酸盐 (NO3-N) 和总 (TN) 的负载.
- 分析土地利用,土壤质地和气负载和度的空间模式.
主要成果:
- 与传统的SWAT模型相比,SWCI-SWAT+模型在模拟NO3--N和TN负载方面表现优越.
- 茶叶种植园和坡 (>40°) 被确定为对负荷的主要贡献者.
- 含沙量高的土壤对NO3 - - N负载有显著的贡献,而含沙量中等的土壤对TN负载的贡献最大.
- 确定了NO3-N和TN热点的独特空间模式,受土地使用和城市排放的影响.
结论:
- SWCI-SWAT+框架为非点源污染控制提供了一种有效的方法.
- 它可以准确地识别污染热点,并在流域规模上诊断负载水质量不匹配.
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