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首页> 外文期刊>Journal of food, agriculture & environment >A new modeling approach to non-point source pollution load spatial distribution forplain river network in China
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A new modeling approach to non-point source pollution load spatial distribution forplain river network in China

机译:中国非点源污染载荷空间分布的新建模方法

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The goal of this research was to put forward a new spatial distribution approach to non-point source (NPS) pollutants in river network of delta are in China, which normally has developed economy and serious problem of water pollution, characterized byspecial stream system structure an hydrodynamic conditions. The proposed method is raised on the foundation of study area gridding, assuming all the NPS pollution from a single gri cell flows into its closest sub-reach of a river. The practice can determine the corresponding relationship between pollution yield cells and thei receiving sub-reaches. We conducted this study by taking the Zhuhugang river system in Jiangsu Province of China as the object. On the basis of lan use grid model and the export coefficient modeling approach, the NPS pollution load distribution model was established according to the method pi forward. Then, the total nitrogen (TN hereafter) and total phosphorus (TP hereafter) loads of several main rivers were obtained and the land use type contributing most to the pollution were analyzed. Furthermore, the model was coupled with the river network water quality model to forecast th concentration variation caused by TN and TP load at the typical sections in different water periods.The results of this research indicate that the NR pollution made the greatest impact on the the upstream of Zhigugang River in low water period and the impacts on the sections weakened along th river basically; while in high water period, the NPS pollution made the smallest impact on the upstream of Zhigugang and in general the effect gradually strengthened along the river.
机译:本研究的目标是提出了三角洲河网络中的非点源(NPS)污染物的新空间分布方法,通常已经发达了经济和严重的水污染问题,其特征是商品流系统结构流体动力学条件。拟议的方法在研究区域网格基础上提出,假设从单个GRI细胞的所有NPS污染流入其最接近河流的次数。该实践可以确定污染产量细胞和AI接收子到达之间的相应关系。我们通过将中国江苏省珠州江河流制度作为对象进行了这项研究。在LAN使用网格模型和出口系数建模方法的基础上,根据PI向前建立了NPS污染负载分布模型。然后,获得了总氮(下文)和几个主要河流的总磷(TP以下),分析了污染最大的土地使用类型。此外,该模型与河河网络水质模型相结合,以预测不同水分时期的典型部分TN和TP负荷引起的TH浓度变化。该研究的结果表明,NR污染对该研究产生了最大的影响在低水位期中珠江的上游,基本上沿着河河削弱了对部分的影响;虽然在高水位期间,NPS污染对中虎岗的上游产生了最小的影响,并且一般效果逐渐加强。

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