Wang Hao, Liu Yifeng, Zhu Shijiang, Liu Yang, Xu Wen
College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China.
Hubei Key Laboratory of Hydropower engineering construction and management, China Three Gorges University, Yichang 443002, China; College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China.
J Contam Hydrol. 2025 Jul;273:104617. doi: 10.1016/j.jconhyd.2025.104617. Epub 2025 May 20.
The Bailin River, a key tributary of the Yangtze River, faces significant water quality challenges due to agricultural non-point source (NPS) pollution exacerbated by industrial discharge and urban runoff. This study employs the Soil and Water Assessment Tool (SWAT) to analyze the temporal and spatial dynamics of runoff as well as total nitrogen (TN) and total phosphorus (TP) loads in the Bailin River basin from 2020 to 2023. A critical source area analysis was performed to identify regions disproportionately contributing to pollutant loads. Through various simulations, including different Best Management Practices (BMPs) scenarios, the study explores their effectiveness in reducing nutrient loads. The findings reveal that nutrient losses are significantly concentrated during the flood season, with TN and TP losses accounting for 58.61 % and 58.92 % of annual totals, respectively. Specific BMP scenarios, combining optimized fertilization, vegetation buffer strips, and grass ditches, demonstrated substantial pollutant reduction, with the best combinations exceeding 58 % reductions for both TN and TP. The study emphasizes the necessity of targeted interventions in critical source areas to optimize management strategies and achieve better water quality outcomes. Continuous monitoring and adaptive management practices will be crucial to addressing ongoing challenges of non-point source pollution in this basin. Ultimately, this research contributes to a deeper understanding of NPS pollution in mountainous watersheds and highlights effective management pathways for improved ecological health and water quality.
白林河是长江的一条重要支流，由于工业排放和城市径流加剧了农业面源污染，面临着严峻的水质挑战。本研究采用土壤和水资源评估工具（SWAT）分析了2020年至2023年白林河流域径流以及总氮（TN）和总磷（TP）负荷的时空动态。进行了关键源区分析，以确定对污染物负荷贡献过大的区域。通过各种模拟，包括不同的最佳管理措施（BMPs）情景，该研究探讨了它们在减少养分负荷方面的有效性。研究结果表明，养分流失在汛期显著集中，TN和TP流失分别占年度总量的58.61%和58.92%。结合优化施肥、植被缓冲带和草沟的特定BMP情景显示出显著的污染物减少效果，最佳组合的TN和TP减少率均超过58%。该研究强调了在关键源区进行有针对性干预以优化管理策略并实现更好水质结果的必要性。持续监测和适应性管理措施对于应对该流域持续存在的面源污染挑战至关重要。最终，本研究有助于更深入地了解山区流域的面源污染，并突出了改善生态健康和水质的有效管理途径。
