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- W2364749970 abstract "Water quality comprehensive assessment can support a guiding advice and an important reference for water environment management.The index weights' determination,as the emphasis and difficulty,is increasingly valued by exports.This article showed an optimization model based on a mathmatica! theory- the minimal Deviation square summation.Both excessive weighted method and entropy method were used in this optimization model,which gave a combination weighted matrix.Taking the example of MenLian section on MaZhong River,a tributary of LiaoHe River,the data of MenLian section from 2008 to 2012 was applied into this optimization model for water quality assessment.Data was monitored by Environment protection monitoring station of TieLing city.Seven sets of indexs,including dissolved oxygen,COD,BOD,ammonia nitrogen,total phosphorus,petroleum and volatile phenol were chosen as assessment indexs.An index system formed from these seven indexs was applied into the optimization fuzzy mathematical method for MenLian section water quality assesssment.Based on the analysis of MenLian section water quality category,it can be found that:the water quality grade of year 2008 and year 2009 belonged tov class,year 2011 was the highest level,Iclass,and the year of 2010 belonged to Vclass,2012 belonged to Wclass.Principal componment analysis(PCA) and complex index model were used to verify this optimization model.The result showed that the optimization model based on the principle of minimal Deviation square summation has a high accuracy and reliability.It is feasible when applied into fuzzy mathematical method for water quality assessment.This model can also supply a reference for other weight determination methods to obtain weight matrix." @default.
- W2364749970 created "2016-06-24" @default.
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- W2364749970 date "2015-01-01" @default.
- W2364749970 modified "2023-09-24" @default.
- W2364749970 title "Fuzzy Mathematical for Water Quality Assessment Based on Combination Weighted" @default.
- W2364749970 hasPublicationYear "2015" @default.
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