密云水库流域非点源模型系统

Non-point source modeling system of the Miyun Reservoir watershed

以密云水库流域为研究背景,在对流域内各类污染源调查的基础上,集成应用流域数字高程模型(DEM)、土地利用、土壤、气象、水文与水质、农业管理措施等数据,建立了基于SW AT模型的密云水库流域非点源模型系统,并采用长系列实测数据对模型系统进行了参数率定和模型验证。结果表明,无论是潮河还是白河流域,径流和泥沙的模拟结果较好,决定系数(r2)和N ash模拟效率系数均达到了0.77以上;潮河流域入库总氮、总磷负荷的模拟结果要优于白河流域。研究表明,基于SW AT模型构建的非点源模型系统完全能应用于密云水库入库的非点源污染负荷模拟和预测。

A soil water and assessment tools （SWAT） based non-oint source （NPS） modeling system of the Miyun Reservoir watershed was established based on investigation of point and NPS pollution and digital elevation model, land-use, soil,weather, hydrological and water quality data, and agricultural management practices. Measured time-series stream flow and water quality data were used to calibrate and verify the modeling system. The ,hydrolog, ical and sediment simulations agree well with observations in both the Chao River and Bai River sub-watersheds, with coefficients of determination and Nash-Suttcliffe coefficients larger than 0. 77. The simulation results for the total nitrogen and total phosphorus in the Chao River sub-watershed are better than those in the Bai River sub-watershed, The results show that the NPS modeling system can also be applied to simulate and predict NPS loadings in the Miyun Reservoir.