水土保持研究2012，Vol.19Issue(5)：163-166,4.
基于模糊模式识别的浑河水质评价研究
Assessment on Water Quality of Hun River Based on Fuzzy Pattern Recognition
摘要
Abstract
The pros and cons of the river water quality flowing through a city response to the level of development of the urban environment directly. Fuzzy pattern recognition application to the river water quality evaluation of this article, evaluation of the degree of river pollution is objective and reasonable, and reflects the status of the water quality of the environment accurately. According to the principle of selection of the evalu- ation, seven selected evaluation indicators were permanganate index, BOD, COD, ammonia nitrogen, eta. Pollution levels were divided into Ⅰ,Ⅱ,Ⅲ,Ⅳ,Ⅴ grade based on the standard of surface water environmental quality GB3838-2002. Using the weighted average index weights determined and built a water quality evaluation of fuzzy pattern recognition model to evaluate the annual monitoring of the Hun River water quali- ty in Febreary, April, July, August, October, December from 2006 to 2009. The results showed that the Hun River pollution was more serious.关键词
模糊模式识别/浑河/水质评价Key words
fuzzy pattern recognition/Hun River/water quality assessment分类
资源环境引用本文复制引用
周林飞,赵崭,孙佳竹,邢旭光..基于模糊模式识别的浑河水质评价研究[J].水土保持研究,2012,19(5):163-166,4.基金项目
国家自然科学基金重点资助项目 （）
