摘要
传统的模糊综合评价法采用超标加权法来确定其权重并用最大隶属度原则来确定水质级别,没有考虑数据的地域特点和最大隶属度原则的条件性,评价结果不理想。针对这些问题,采用AHP-熵权法以及引入级别特征值的概念,对地下水水质进行模糊综合评价。以2013年白城市20个地下水水质数据为依据,选取氟化物、总铁、亚硝酸盐氮、锰、总硬度、氯化物、硫酸盐、硝酸盐氮、氨氮共9个指标作为评价指标,进行地下水水质评价。并将其评价结果与内梅罗综合指数法进行对比,结果表明,两种方法计算的结果一致性高达75%。通过AHP法(层次分析法)与熵权法相结合确定的权重,以及引入级别特征值概念确定水质级别,使评价结果更加准确、合理。
Traditional fuzzy comprehensive evaluation determines the weights by over weighted method and determines the groundwa-ter quality grade by the principle of maximum degree of membership.Without considering regional characteristics of data and appli-cable conditions of level feature values,the evaluation result is not ideal.To solve these problems,this paper chooses fuzzy compre-hensive evaluation method,which determines the weight by AHP-entropy weight and determines the grade by the principle of max-imum degree of membership,to evaluate the groundwater quality.Taking F, Fe,NO-2 ,Mn,total hardness,Cl-,SO-4 ,NO-3 , NH+4 as evaluation indicators,20 samples of groundwater quality in Baicheng City in 2013 are evaluated.The comparison between the results of AHP-entropy weight method and the results of Nemero index method shows that the results of the two methods are nearly coincident to 75%.Determining the weights by mixing AHP with entropy weight and applying the principle of maximum de-gree of membership makes the results more exact and reasonable.
出处
《节水灌溉》
北大核心
2016年第6期51-54,58,共5页
Water Saving Irrigation
基金
国家自然科学基金(41572216)
国家自然科学基金(41172205)
吉林省自然科学基金(20140101164JC)
关键词
AHP法
熵权法
模糊综合评价
级别特征值
水质评价
AHP
entropy weight
fuzzy comprehensive evaluation
level feature values
water quality evaluation