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Application of Data Mining in Relationship between Water Quantity and Water Quality

机译:数据挖掘在水量与水质关系中的应用

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From the angle of data mining, we adopt association rules, clustering and other technologies to obtain the association between the water quality under WangTing gate with the sub-flow on both sides of WangYu River. In order to have a comprehensive analysis about the impact that diverting water from ChangShu hub and sub-flow on both sides of WangYu river making on the water quality, this article introduces a new conception: the efficiency of diverting water from ChangShu hub to Taihu lake, and obtain the association between the efficiency and water quality of inflow, providing technical support of further analysis on diverting water from the Yangtze's role in improving water quality, water environment of the Taihu Lake and the basin.
机译:从数据挖掘角度来看,我们采用关联规则,聚类和其他技术,以获得旺宇河两侧次流量下的水质与水质之间的关联。为了对从常熟枢纽和王宇河两侧转移水的影响进行综合分析,介绍了新的概念:从常熟枢纽转移到太湖湖中的水的效率,并获得流入效率和水质之间的关联,提供了对从长江改善水质,太湖水质水质,水环境的作用中转移水的进一步分析的技术支持。

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