首页> 外文会议>Biennial conference of the International Association on Water Quality >A RENOVATED MODEL FOR SPATIAL ANALYSIS OF POLLUTANT RUNOFF LOADS IN AGRICULTURAL WATERSHED
【24h】

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

机译:农业流域污染物径流负荷空间分析的改进模型。

获取原文

摘要

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:利用地理信息系统技术对农业流域污染物的径流负荷进行了空间分析。首先,使用已开发的土地利用数字地图来识别流域中污染源之间的拓扑关系,然后通过对获得的污染数字信息应用常规的单位加载因子来估算每个污染源产生的污染物负荷资料来源。为了评估从空间分布污染源经分水岭表面流向下游监测站的负荷,通过引入数字地形模型(DTM)技术开发了一种结合了污染物排放路径信息的经过改进的经验模型。在该模型中,简化了输送过程中污染负荷的降解功能,从而使每个流域都可以具有流域范围内的自净能力,这被认为是每个流域固有的能力,并且可以阻止源头污染物的排放产生流水。通过将模拟值与观察到的数据进行比较,模型的可信度显示出良好的一致性。蒙特卡洛优化技术使估算整个盆地的自净系数成为可能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号