State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, People's Republic of, Beijing, 100875, China.
Environ Monit Assess. 2019 Aug 21;191(9):582. doi: 10.1007/s10661-019-7747-y.
Non-point source (NPS) pollution, including fertilizer and manure application, sediment erosion, and haphazard discharge of wastewater, has led to a wide range of water pollution problems in the Miyun Reservoir, the most important drinking water source in Beijing. In this study, the Soil and Water Assessment Tool (SWAT) model was used to evaluate NPS pollution loads and the effectiveness of best management practices (BMPs) in the two subwatersheds within the Miyun Reservoir Watershed (MRW). Spatial distributions of soil types and land uses, and changes in precipitation and fertilizer application, were analysed to elucidate the distribution of pollution in this watershed from 1990 to 2010. The results demonstrated that the nutrient losses were significantly affected by soil properties and higher in both agricultural land and barren land. The temporal distribution of pollutant loads was consistent with that of precipitation. Soil erosion and nutrient losses would increase risks of water eutrophication and ecosystem degradation in the Miyun Reservoir. The well-calibrated SWAT model was used to assess the effects of several Best Management Practices (BMPs), including filter strips, grassed waterways, constructed wetlands, detention basins, converting farmland to forest, soil nutrient management, conservation tillage, contour farming, and strip cropping. The removal rates of those BMPs ranged from 1.03 to 38.40% and from 1.36 to 39.34% for total nitrogen (TN) and total phosphorus (TP) loads, respectively. The efficiency of BMPs was dependent on design parameters and local factors and varied in different sub-basins. This study revealed that no single BMP could achieve the water quality improvement targets and highlighted the importance of optimal configuration of BMP combinations at sub-basin scale. The findings presented here provide valuable information for developing the sustainable watershed management strategies.
非点源(NPS)污染,包括肥料和粪肥的施用、泥沙侵蚀以及废水的随意排放,已导致北京最重要的饮用水源之一——密云水库出现了广泛的水污染问题。本研究利用土壤和水评估工具(SWAT)模型,评估了密云水库流域(MRW)内的两个子流域的 NPS 污染负荷和最佳管理实践(BMPs)的有效性。分析了土壤类型和土地利用的空间分布以及降水和施肥的变化,以阐明 1990 年至 2010 年该流域的污染分布。结果表明,养分流失受土壤特性影响显著,在农业用地和荒地中流失更高。污染物负荷的时间分布与降水一致。土壤侵蚀和养分流失会增加密云水库富营养化和生态系统退化的风险。经过良好校准的 SWAT 模型用于评估几种最佳管理实践(BMPs)的效果,包括过滤带、草沟、人工湿地、滞洪区、将农田转为林地、土壤养分管理、保护性耕作、等高耕作和条带状种植。这些 BMP 的去除率范围分别为总氮(TN)和总磷(TP)负荷的 1.03%至 38.40%和 1.36%至 39.34%。BMP 的效率取决于设计参数和当地因素,并且在不同的子流域中有所不同。本研究表明,没有单一的 BMP 可以实现水质改善目标,并强调了在子流域尺度上优化 BMP 组合配置的重要性。本研究结果为制定可持续流域管理策略提供了有价值的信息。