开封南郊垃圾场地下水质量的熵权属性识别评价

针对地下水质量评价中综合评价法的不足，应用信息熵计算评价指标的权重，并充分利用有序分隔概念，建立了基于熵权的属性识别模型。选择TDS、COD、总Fe、总Mn、Cl-、SO42-、NO2-、F-作为评价指标，运用基于熵权的属性识别法对开封南郊垃圾场浅层地下水进行地下水质量评价。评价结果表明，基于熵权的属性识别法所得的评价结果水质明显优于综合评价法所得的结果；研究区内各样本的评价指标中，SO42-和NO2-的权重最大，Cl-、COD、总Fe和F-的权重次之，TDS和总Mn的权重最小；Ⅰ类、Ⅱ类、Ⅲ类、Ⅳ类和Ⅴ类水在研究区内的分布面积所占比例分别为1.7%、2.5%、26.7%、12.2%和56.9%；浅层地下水质的空间分布在研究区域内具有一定的规律，以靠近垃圾场的L01井和G54井为中心水质最差，为Ⅴ类水，以此为中心向外扩展，水质逐渐好转，依次分布Ⅳ类水和Ⅲ类水。Ⅲ类水的分布向研究区的东部和北部偏移，而在研究区的南部多分布Ⅰ类和Ⅱ类水，水质优良。

Application of attribute recognition model based on coefficient of entropy to groundwater quality assessment at the Southern Suburbs Landfill of Kaifeng

The comprehensive evaluation method of groundwater quality is of some defects.In this paper,the weight of evaluation indicator difference is obtained by calculating entropy.Using the concept of the ordered partition class,the attribute recognition model based on coefficient of entropy is established.By selecting indicators of TDS,COD,total Fe,total Mn,Cl-,SO2-4,NO-2and F-,the shallow groundwater quality of the Southern Suburbs Landfill of Kaifeng is evaluated with the attribute recognition model based on coefficient of entropy.The results show that the water quality evaluated with the attribute recognition model based on coefficient of entropy is better than the results of the comprehensive evaluation;the weights of SO2-4and NO-2 are maximum,and the weights of Cl-,COD,total Fe and F-are followed,while the weights of TDS and total Mn are minimum;the proportion of the distribution of theⅠ,Ⅱ,Ⅲ,Ⅳ and Ⅴclass-type water in the study area is 56.9%,12.2%,26.7%,2.5% and 1.7%,respectively;the distribution of shallow groundwater quality in the study area has a certain regularity,the water quality of well L01 and G54 close to the landfill is the worst Ⅴclass-type water.As this center extended outward,the water quality gradually improved,and the Ⅲ and Ⅳ class-type water distribute in turn.The distribution of Ⅲclass-type water migrated to the north and east of the study area,while theⅠand Ⅱ class-type water almost distributed in the south of the study area.