Application of matter element model based on fuzzy weight to evaluation the eutrophication of Shengzhong reservoir

In order to assess index weighted value scientifically, the matter element were introduced into the fuzzy weighted values to set up matter element model based on fuzzy weight. In this way, the model not only holds the merit of classical matter element, but also overcomes its limitations in practice. Referring to Chinese lakes eutrophication standard, the eutrophication degree of lake is divided into 6 grades in this paper. Five indexes, namely Chl-a, TP, TN, COD_Mn and SD, are selected as evaluation indexes. The model was applied to evaluate the eutrophication of Shengzhong reservoir and the results is in line with the actual It showed that are The fourth upper-mesotrophic(IV) in Shengzhong reservoir, while the eutrophication of Dashiqiao is most serious. The proposed method is proved to be reasonable and reliable, and can be used in comprehensive evaluation problems of lakes eutrophication. Finally, we analyze the causes of eutrophication in Shengzhong reservoir and put forward the control measure.