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A RENOVATED MODEL FOR SPATIAL ANALYSIS OF POLLUTANT RUNOFF LOADS IN AGRICULTURAL WATERSHED

机译:农业分水岭污染物径流荷载空间分析的经过改造模型

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Runoff loads of pollutant in agricultural watersheds were spatially analyzed by using geographic information system(GIS) technology. The topological relationship between pollution sources in the watershed was, first of all, identified by using the developed digital map of land use and then the pollutant loads generated from each source was estimated by applying a conventional unit loading factor on the obtained digital information of pollution sources. To evaluate the loads delivered from spatially distributed pollution sources to monitoring stations in down stream via surface of watershed, a renovated empirical model incorporated with the information of pollutant discharge path was developed through introducing a digital terrain model(DTM) technique. In this model, the function of degradation of pollution loads during delivery process was simplified so that each watershed could have a basin-wide self-purification capacity which would be considered to be possessed inherently in each watershed and could retard the discharge of pollutants from sources generated to stream water. Model credibility showed good consistency with comparing the simulated values with observed data. Monte Carlo optimizing technique made it possible to estimate the basin-wide self-purification coefficients.
机译:通过使用地理信息系统(GIS)技术在空间分析农业流域污染物的径流量。流域污染源之间的拓扑关系首先是通过使用开发的土地使用的数字地图确定,然后通过在所获得的污染数字信息上应用常规单位装载因子来估算从每个源产生的污染物负荷来源。为了评估从空间分布的污染源传递到流域表面的监测站,通过引入数字地形模型(DTM)技术,开发了一种结合于污染物排放路径信息的经过翻透的经验模型。在该模型中,简化了污染过程中污染载荷的函数,使得每个流域可以具有盆地自净化能力,这将被认为固有地在每个流域中具有固有的,并且可以阻止来自来源的污染物排放生成到流水。模型可信度显示与观察数据的模拟值进行比较,显示出良好的一致性。 Monte Carlo优化技术使得可以估计盆地自净化系数。

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