期刊文献+

多级模糊模式识别模型及在长江水质评价中的应用 被引量:6

Multistage Fuzzy Diagnosis Model and Its Application for Assessment of Yangtze River′s Water Quality
下载PDF
导出
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.
作者 潘大志 杜勇
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)
关键词 水质评价 多级模糊模式识别模型 模糊数学 Water quality assessment multistage fuzzy diagnosis model fuzzy math
  • 相关文献

参考文献7

二级参考文献39

共引文献144

同被引文献50

引证文献6

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部