基于灰色关联聚类的地下水评价指标优化研究  

STUDY ON THE OPTIMIZATION OF GROUNDWATER EVALUATION INDEXES BASED ON GREY RELATION CLUSTERING

作　　者：杨帆[1] 张征[1] 吕连宏[1,2] 牟向玉[1] 

机构地区：[1]北京林业大学环境科学与工程学院,北京100083 [2]中国环境科学研究院能源与环境研究室,北京100012

出　　处：《环境工程》2008年第S1期304-309,共6页Environmental Engineering

基　　金：教育部科学技术研究重点项目(03028);北京林业大学振兴计划人才培养专项课题(200202013)

摘　　要：地下水环境指标间既有联系又有差异,在保证评价指标能够全面、准确反映区域地下水质量的前提下,可对其进行分类、筛选和优化,简化评价指标,进而减轻监测工作量。本研究采用灰色关联聚类法,对研究区域地下水指标进行优化,并且优化前后水质综合评价结果一致,表明地下水评价指标的灰色关联聚类优化是合理可行的。The quality indexes of groundwater are at once related to and different from one another.These indexes can be classified,selected and optimized on the prerequisite for ensuring the comprehensiveness and accuracy of regional groundwater quality,in order to simplify evaluation indexes and alleviate monitoring workload.The indexes in study area are optimized by grey relation clustering,and the comprehensive assessment of groundwater quality has the same result as the original one.So it is reasonable and feasible for optimizing the groundwater evaluation indexes by grey relation clustering.

关 键 词：灰色关联聚类 地下水 评价指标 分类及优化 

分 类 号：X824[环境科学与工程—环境工程]