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Critical Source Area identification of Agricultural Non-point Source Pollution in Xingkai-Lake watershed

机译:兴凯湖流域农业面源污染的关键源区识别。

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The paper achieved identifying the Agricultural Non-point Source Pollution Critical Source Area in Xingkai Lake watershed using pollution index method with the help of RS and GIS. The conclusions were that: (1) the high pollution risk area mainly clustered in the border of ZhiYi, Baipaozi, Xingkaihu and Liumao Towns and the west southern area of Yangmu Town, and the serious soil erosion and high livestock pollution and fertilizer pollution took the main responsibility. (2) The moderate pollution risk distributed in the most of the study area and the high livestock pollution and fertilizer pollution were the reason. (3) The low pollution area located in the south of Farm 857 and the most of Farm Xingkai-hu. The terrain there was quite low and it was the pool for the surrounding area. So it would still threaten the lake under the heavy rainfall.The results revealed that the RS and GIS technology could improve the APPI method accuracy and make the model be in line with the mechanism of the occurrence and migration of the agricultural non-point source pollutants, thus it improved the applicability of the APPI method and could identified the critical source area more quickly and accurately.
机译:借助RS和GIS,利用污染指数法,实现了对兴凯湖流域农业面源污染关键源区的识别。结论为:(1)高污染风险区主要集中在直义,百宝子,兴凯湖和柳茂乡的边界和阳牧镇的南部以南,严重的水土流失和高的牲畜污染和化肥污染导致了高污染风险区。主要责任。 (2)研究区域大部分地区的污染风险中等,而牲畜污染和化肥污染较高。 (3)低污染区位于857农场的南部,而兴凯湖农场大部分地区。那里的地势很低,是周围地区的游泳池。结果表明,RS和GIS技术可以提高APPI方法的准确性,使模型与农业面源污染物的发生和迁移机理相吻合。因此,它提高了APPI方法的适用性,并且可以更快,更准确地识别关键源区域。

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