Improved grey clustering method and its application to water environmental quality assessment

被引：0

作者：

Xiang, Yongbin ^{[1
]}

Liang, Chuan ^{[1
]}

Lin, Yuan ^{[2
]}

机构：

[1] College of Water Resource and Hydropower, Sichuan Univ., Chengdu 610065, China

[2] Inst. of Education, Sichuan Normal Univ., Chengdu 610068, China

来源：

Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition) | 2014年 / 46卷 / SUPPL.2期

关键词：

Water quality - Quality control;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

According to the requires to divide grey classes clearly and determine the clustering weights reasonably of water environmental quality assessment, the grey clustering method was improved by using the most difference method to process data normalization and the reciprocal of threshold method to determine the clustering rights. Combining with the measured water quality monitoring data of the middle channel in Lhasa, the assessment results of the improved grey clustering method, the conventional grey clustering method and the most unfavorable principles method of the current water environment quality evaluation were compared. The result showed that the improved grey clustering method was more according with the actual situation of water environment quality category, also more objective in evaluation of water environment quality.

引用

页码：7 / 12