运用基于熵权的属性识别模型评价三明段沙溪河水质  

Application of Attribute Recognition Model Based on Coefficient of Entropy to Evaluate Water Quality of Shaxi River in Sanming

作　　者：夏启华[1] 张江山[1] 陈盛[2] 

机构地区：[1]福建师范大学化学与材料学院,福建福州350007 [2]福建师范大学福清分校,福建福州350300

出　　处：《环境科学与管理》2008年第7期166-169,共4页Environmental Science and Management

基　　金：福建省自然基金项目(F0211005)

摘　　要：将熵值法与属性识别模型相结合,运用熵值法来确定权重系数,建立基于熵权的属性识别模型,利用此模型,并根据2007年上半年度沙溪河各监测点的资料,进行对整治后的沙溪河的水质评价。评价结果表明,2007年三明段沙溪河水质总体高于III类水质;与2000年以前沙溪河水质(2000年以前很多处水质低于III类水,特别是三明市城区那段)相比,说明最近几年的沙溪河水质状况有了很大的改善,河流整治工作基本到位。最后对沙溪河水质污染的防治措施提出了初步建议。This paper combine the entropy value theory and attribute recognition model together, which use law of entropy value to calculate coefficient of weight and establish the attribute recognition model that based on coefficient of entropy. Attribute recognition model of source and monitored information of shaxi river in the early year of 2007, the water quality is calculated. The results indicate water quality of Shaxi River in 2007 is better than Ⅲ water standard of surface water, which compares with water quality of Shaxi River before 2000（ before 2000 some places＇water quality were lower than Ⅲwater standard of sufaee water, especialy in Sanming city）, which shows that Shaxi River＇s water quality situation has had a large improvement in the past several years, and shows that Shaxi River＇s renovation work had done well. At last we discuss the control countermeasures preliminary.

关 键 词：属性识别 熵权法 水质评价 沙溪河 

分 类 号：X820.6[环境科学与工程—环境工程]