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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:从数据挖掘的角度出发,我们采用关联规则,聚类等技术,获得了望亭闸口水质与望榆河两侧支流之间的联系。为了全面分析常熟枢纽分流和汪禹河两侧分流对水质的影响,本文引入了一个新的概念:常熟枢纽分流至太湖的效率。并获得流入水效率与水质之间的联系,为进一步分析长江引水在改善水质,太湖和流域水环境中的作用提供技术支持。

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