基于改进灰色聚类法的大气环境质量综合评价  

Modified Grey Clustering Model on Air Quality Assessment

作　　者：胡军[1] 许丽忠[1] 张江山[1] 

机构地区：[1]福建师范大学环境科学研究所,福建福州350007

出　　处：《福建师范大学学报（自然科学版）》2012年第1期49-54,共6页Journal of Fujian Normal University：Natural Science Edition

基　　金：教育部人文社会科学项目(08JA790019)

摘　　要：针对灰色聚类法在环境质量评价中的不足,对其白化函数与权重确定方法进行了改进.指数型白化函数建立了样本值与各等级之间的对应关系,避免了零权重问题,修正聚类权法体现了各污染物在同一灰类之间的变化幅度.应用改进后的灰色聚类模型对福州市2004—2008年的环境空气质量进行评价.结果表明:改进后的灰色聚类法评价结果更为客观、准确.An exponential whiteness function and a modified clustering weight were developed in grey-clustering model for its shortcomings in quality assessment.Exponential whiteness function establishes the correspondence between the sample values and each grade,and avoid the problem of zero weight,the modified clustering weight reflect the each pollutant＇s amplitude in the same grade of air quality.The improved-grey-clustering method is applied to air quality assessment in Fuzhou from 2004 to 2008,the results showed that improved-grey-clustering method made the evaluation results more objectively and fairly.

关 键 词：灰色聚类 空气质量 白化函数 聚类权 

分 类 号：X823[环境科学与工程—环境工程]