多级模糊模式识别模型及在长江水质评价中的应用  

Multistage Fuzzy Diagnosis Model and Its Application for Assessment of Yangtze River′s Water Quality

作　　者：潘大志[1] 杜勇[2] 

机构地区：[1]西华师范大学数学与信息学院,四川南充637000 [2]四川职业技术学院,成都610000

出　　处：《四川环境》2009年第4期52-54,64,共4页Sichuan Environment

基　　金：四川省教育厅青年基金项目(2006B040)

摘　　要：利用多级模糊模式识别方法的基本理论,通过多目标优选,计算指标综合权重,给出了长江水质的评价模型;利用该模型对长江干流四川境内的5个观测断面的水质监测结果做出了评价:攀枝花、重庆朱沱和宜宾凉姜沟的水质属Ⅱ级,乐山岷江大桥和泸州沱江二桥的水质属Ⅲ级。评价结果不仅体现了水质级别,更体现了同级别水质中不同的污染程度,因而结果更为合理可靠。In this paper the theory of the multistage fuzzy diagnosis model is applied, through multi-objective optimization, to calculate the index weights and get the assessment model of Yangtze River water quality. The monitored data of water quality at five observation sections of Yangtze River in Siehuan are assessed adopting this model. The results show that the water qualities at Panzhihua, Zhutuo of Chongqing and at Liangjianggou of Yibin belong to grade Ⅱ , while that at Minjiang Bridge in Leshan and at the Second Bridge in Luzhou belong to grade Ⅲ. The results reflect not only the level of water quality, but also the level of water quality at different pollution degree, which is more reasonable and reliable.

关 键 词：水质评价 多级模糊模式识别模型 模糊数学 

分 类 号：X703[环境科学与工程—环境工程]