【摘要】 SPARROW模型是以非线性回归方程为核心的流域负荷模型,该模型以流域河网结构为基础,通过建立污染源、流域空间属性、水质监测数据之间的内在联系,评估和预测目标流域中不同污染源组成特征对流域水体污染状况的宏观影响。本文应用该模型对构建的中国北方仿真流域进行总氮模拟,结果显示,仿真流域中影响总氮污染的主要污染源为农业源(贡献率为63.7%),其次为生活源(贡献率为19.8%)和工业源(贡献率为16.5%)。更多还原

【Abstract】 Sparrow(spatially referenced regressions on watershed) model is a watershed loading model which consists a kernel of nonlinear regression function.Spatial referencing is accomplished through linking nutrient source,land-surface characteristic,and loading information to a geographically defined river-reach data set.The model evaluated and predicted contaminant flux,concentration in streams and identified important contaminant sources and transport variables over large spatial scales.The mechanics of the model was comprehensively reviewed,and the model was applied to a virtual watershed in northern China for total nitrogen estimation and prediction.The result of SPARROW model indicated that agricultural sources in the watershed contribute 63.7% of total nitrogen,follow by wastewater nitrogen source(19.8%),whereas industrial source is the least contributor of total nitrogen(16.5%).更多还原