长江流域资源与环境 >> 2025, Vol. 34 >> Issue (08): 1855-.doi: 10.11870/cjlyzyyhj202508017

• 生态环境 • 上一篇    下一篇

基于SWAT模型的东江湖流域面源污染源识别与削减措施研究

黎雪1,2,林岿璇2,李兴华3,包正铎4,5 ,陈宏1* ,刘录三2*   

  1. (1. 长沙理工大学水利与环境工程学院, 洞庭湖水环境治理与生态修复湖南省重点实验室, 湖南 长沙 410114; 2. 中国环境科学研究院, 环境基准与风险评估国家重点实验室, 北京 10012; 3. 中国科学院赣江创新研究院,江西 赣州 341119; 4. 武汉大学资源与环境科学学院, 湖北 武汉 430072; 5. 珠海深圳清华大学研究院创新中心, 广东 珠海 519000)
  • 出版日期:2025-08-20 发布日期:2025-09-01

Source Identification and Reduction Measures of Non-point Pollution in Dongjiang Lake Basin Based on SWAT Model

LI Xue1,2 ,LIN Kui-xuan2,LI Xing-hua3,BAO Zheng-duo4,5 ,CHEN Hong1 ,LIU Lu-san2   

  1. (1.School of Hydraulic and Environmental Engineering, Changsha University of Science & Technology, Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, Changsha 410114, China; 2. Sate Key Laboratory of Environmental Criteria and Risk Assessment , Chinese Research Academy of Environmental Sciences, Beijng 100012 , China; 3.Ganjiang Institute of innovation chinese Academy of Sciences Ganzhou 341119,china;4. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China; 5. Tsinghua Inovation Center in Zhuhai, Zhuhai 519000, China)
  • Online:2025-08-20 Published:2025-09-01

摘要: 东江湖是湖南省重要的饮用水水源地。面临日益增大的环境压力,东江湖的总磷和氨氮浓度呈现上升趋势,导致水质目标处于跨降类临界线上。然而东江湖的面源污染入湖途径复杂,现有的水质监测断面无法全面反映所有入湖河流的水质状况。为此,基于SWAT模型建立了东江湖流域面源污染模型,识别了污染源与核算流域面源污染负荷,并评估了不同污染削减措施削减率。模型结果表明,氮磷负荷高值区位于流域东部以及光桥河、田庄河、长活河流域,低值区位于流域中部。流域面源污染以城镇生活和农业施肥为主。基于对东江湖流域面源污染管理现状的深入调查,针对城镇生活和农业施肥污染源,实施了具体的削减措施,并在模型中评估了这些措施的效果。模拟结果显示,5种治理措施的效果从大到小依次排序为残茬覆盖>等高耕作>畜禽养殖>减少化肥施用量>城镇生活。与实际水质变化对比证明,建立的模型适用于东江湖流域面源污染削减措施模拟。此外,东江湖入湖口依旧存在内源污染风险。研究将为外源氮磷输入的控制和内源沉积物污染的管理提供理论依据和数据支撑。

Abstract: Dongjiang Lake is a critical drinking water source in Hunan Province. The total phosphorus and ammonia nitrogen concentrations in Dongjiang Lake are rising, which causes that the water quality is on the critical line of cross-decline. However, the surface source pollution of Dongjiang Lake has a complex pathway into the lake. The existing water quality monitoring sections are not able to comprehensively reflect the water quality status of all rivers entering the lake. In this study, a surface source pollution model was developed based on the SWAT model. The model was used to identify the sources of pollution and to estimate the loads of surface source pollution in the basin. The reduction rate of different measures was also evaluated. The simulation results showed that the high loads nitrogen and phosphorus was located in the eastern part of the basin and the Guangqiao River, Tianzhuang River and Changwu River. The low loads of pollution was located in the middle part of the basin. The pollution source in the basin was dominated by urban life and agricultural fertilization. Based on the in-depth investigation of the current situation of surface source pollution management in the Dongjiang Lake watershed, specific reduction measures were proposed nted for urban living and agricultural fertilization pollution. The effects of these measures were evaluated in the model. The simulation results showed that the effects of the five management measures were, in a descending order, stubble mulching > contour farming > livestock farming > reduction of fertilizer application > urban life. A comparison with the actual water quality changes proved that the established model was applicable to the simulation of pollution reduction measures in Dongjiang Lake Basin. However, it should be noted that the risk of endogenous pollution still existed in the inlet of Dongjiang Lake. This study aimed to provide theoretical basis and data support for the control of exogenous nitrogen and phosphorus inputs towards a better management of water quality of the basin.

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