基于熵值法的改进集对分析水质模糊评价  

Water quality fuzzy evaluation based on entropy method-improved set pair analysis

作　　者：郑志宏[1] 魏明华[2] 

机构地区：[1]华北水利水电学院环境与市政工程学院,河南郑州450011 [2]华北水利水电学院水利学院,河南郑州450011

出　　处：《河海大学学报（自然科学版）》2013年第2期136-139,共4页Journal of Hohai University(Natural Sciences)

基　　金：水利部公益性行业专项(200801015);华北水利水电学院高层次人才科研启动项目(40214);河南省高校青年骨干教师资助计划(2010GGJS-126);河南省教育厅自然科学研究计划(2011A570009)

摘　　要：为解决水质评价中诸多评价方法在指标权重确定方面存在的困难,应用熵值法改进集对分析模糊评价方法,实现河流水质状况等级评价。该方法将熵值法客观赋权与改进集对分析模糊评价相结合,克服了单纯主观赋权的人为干扰,使评价结果更真实。以滦河下游唐山地区7个测站为计算实例,得到各个监测站点的水质评价结果,与综合指数法评价结果符合度为100%,这些结果与灰色关联法评价结果的符合度为85.7%,证明了该方法的合理性。In order to solve the problems in the index weight calculation with multiple methods for water quality evaluation,we used the improved set pair analysis（SPA） fuzzy evaluation method based on information entropy and obtained river water quality estimation grade results.This method combines objective weight and improved SPA fuzzy evaluation and avoids the interference from simple subjective weight,so that the evaluation result can be much more objective.The method was applied to seven monitoring sites in the lower reaches of the Luanhe River in the Tangshan District.The evaluation results of the method showed a conformity degree of 100%,compared with that of the synthetic index method,and a conformity degree of 85.7%,compared with that of the grey relational analysis method,indicating that the proposed method is rational.

关 键 词：水质评价 熵值法 改进集对分析 滦河下游 唐山地区地表水 

分 类 号：X824[环境科学与工程—环境工程]