College of Environmental and Energy Engineering, Anhui Jianzhu University, Hefei, 230601, China.
Institute of Remote Sensing and Geographic Information Systems, Anhui Jianzhu University, Hefei, 230601, China.
Environ Sci Pollut Res Int. 2023 Nov;30(55):117464-117484. doi: 10.1007/s11356-023-30405-y. Epub 2023 Oct 23.
The Nanyi Lake basin, located in the middle and lower reaches of the Yangtze River, is a crucial component of the Yangtze River ecosystem. Excessive phosphorus levels lead to eutrophication in rivers and lakes. This study aims to enhance the identification efficiency of key source areas for non-point source pollution of total phosphorus (TP) in the Nanyi Lake Basin and improve decision-making regarding the treatment of these areas. The study employs the InVEST model and utilizes GIS spatial hot spot analysis to identify key source areas of agricultural TP non-point source pollution. The accuracy of the InVEST model's simulation results was verified using the source list method. The findings indicate that paddy fields serve as the primary pollution source. TP non-point source pollution in Nanyi Lake is influenced by pollution sources, pollution load filtration rate, and potential TP runoff mass concentration. Different pollution sources correspond to distinct key source areas, and the pollution generated by these sources in different administrative regions, ultimately affecting the lake, varies as well. The InVEST model demonstrates great applicability in regions where agricultural TP is the primary pollution source. For the Nanyi Lake basin, which predominantly experiences agricultural TP non-point source pollution, a combination of the InVEST model and the source list method is recommended. The InVEST model serves as the primary tool, while the source list method supplements it. This approach not only compensates for any limitations of the InVEST model's simulation results but also avoids unnecessary economic waste. The outcomes of this study contribute to a deeper scientific understanding of TP pollution in the Nanyi Lake Basin. They also aid in effectively identifying key source areas and formulating appropriate measures based on the pollution characteristics, thereby providing guidance for non-point source pollution control in the basin.
南漪湖流域地处长江中下游,是长江生态系统的重要组成部分。过量的磷会导致河流和湖泊富营养化。本研究旨在提高南漪湖流域非点源总磷(TP)关键源区识别效率,为这些地区的治理提供决策依据。研究采用 InVEST 模型,利用 GIS 空间热点分析识别农业 TP 非点源污染的关键源区。采用源清单法对 InVEST 模型模拟结果的精度进行验证。结果表明,水田是主要的污染源。南漪湖 TP 非点源污染受污染源、污染负荷过滤率和潜在 TP 径流水质浓度的影响。不同的污染源对应不同的关键源区,不同行政区域的污染源产生的污染最终也会影响湖泊。InVEST 模型在农业 TP 为主要污染源的地区具有很好的适用性。对于以农业 TP 为主要污染源的南漪湖流域,推荐采用 InVEST 模型与源清单法相结合的方法。InVEST 模型作为主要工具,源清单法作为补充。这种方法不仅可以弥补 InVEST 模型模拟结果的局限性,还可以避免不必要的经济浪费。本研究的结果有助于深入了解南漪湖流域 TP 污染,有效识别关键源区,并根据污染特征制定相应的措施,为流域非点源污染控制提供指导。