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中文摘要：
为了找出影响南水北调工程向黄河相机补水的主要因素,采用数据挖掘方法SVM模型对比分析了多种因素,模拟结果表明：入库流量、下泄量、清泉沟引水量、陶岔引水量4个因子与黄河补水有较高的相关性,在证明了影响因子分析结论正确的同时,也建立了黄河补水预测模型。该方法的使用有助于分析黄河补水与影响因素的关系,并且对南水北调中线工程也具有一定的参考价值。
英文摘要：
In order to find out the main factors about the impact of S-N water Transfer Project to supply water of the Yellow River,the SVM model of data mining method was used to compared and analysis a variety of factors.According to the simulated results,four factors,reservoir inflow,discharge volume,Qingquangou water diversion volume and Taocha water diversion volume,were markedly coincident with Yellow River Water-supply.The relationship of Yellow River Water-supply and four influence factors was analyzed expediently by SVM model.The relationship model has great reference value for the S-N Water Transfer Middle Route Project.
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