摘要
建立了一种新的水质综合评判模型——Fuzzy综合评价模型,并应用于京杭大运河扬州段的水质综合评价中。以模糊概率理论为基础,求出污染因子对于水质级别的隶属函数,将各个污染因子的隶属度与权重向量进行复合运算,所得隶属度最大的级别即为水质级别。在9项评价指标中,溶解氧、高锰酸盐指数、5日生化需氧量和氨氮4项权重较大,说明水体中污染物主要为有机污染物。2001—2006年间,京杭大运河扬州段整体水质状况为:2004年Ⅱ级水质,其余为Ⅲ级或Ⅲ级以上,所得结论与实际相符。与其它评价方法相比,模糊综合评价模型具有系统性、综合性和评价结果的可比性,并克服了权重难以分配和分级界限的模糊性的不足,可应用于水质评价指标众多、评价等级较多的复杂系统。
A new model of fuzzy probability comprehensive evaluation is developed and it was used to assess the water quality in the Grand Canal （Yangzhou Section）. Based on the fuzzy probability theory, membership function of pollution factors on water quality grade was obtained. And the maximum membership degree grade is obtained by applying complex operation of membership de- gree and weight vector. The maximum membership degree grade is just the water quality grade. The index weights, such as dissolved oxygen, potassium permanganate index, BODs and ammo- nia nitrogen, were larger in nine evaluation indexes. It shows that pollutant is mainly organic pol- lutant. Results showed that water quality of the Grand Canal （Yangzhou Section） was Class Ⅱ in 2004 while water quality was relatively poor in others years. The conclusions agreed with the actual situation. The method of fuzzy mathematics is systemic and comprehensive compared with others methods. And this model overcomes not only the problem of weight difficult to distribute but also the fuzziness of classification limit. It can be applied to complex water quality system with numerous indexes and multiple evaluation grades.
出处
《淮海工学院学报（自然科学版）》
CAS
2008年第4期57-60,共4页
Journal of Huaihai Institute of Technology:Natural Sciences Edition
