摘要
应用属性识别模型对我国的于桥水库、巢湖、玄武湖富营养化进行评价 ,评价结果得出 ,于桥水库为中富营养级、巢湖为富营养级、玄武湖为重富营养级 ,这一评价结果与模糊综合评价模型的评价结果相一致 ,同时该方法简单 。
The attribute recognition model is applied to assess the eutrophication situations of Yu Qiao reservoirs and Chao Lake and Xuan Wu Lake in China. The study shows that the eutrophication degree of Yu Qiao reservoir is middle eutrophication and that of Chao Lake is higher eutrophication and that of Xuan Wu Lake is even higher. The results are in agreement with that of the fuzzy comprehensive evaluation method, meanwhile, this method is easy and suit for standardized evaluation on system quality.
出处
《四川大学学报（工程科学版）》
EI
CAS
CSCD
2002年第6期109-111,共3页
Journal of Sichuan University (Engineering Science Edition)
