基于模糊权物元分析模型的湖泊富营养化评价

运用模糊权重,结合层次分析法和物元分析法,试图构建模糊权物元分析模型。该模型不仅继承了经典物元分析的优点,同时充分考虑了权重的不确定性。按照中国湖泊富营养化评价标准,把湖泊水体富营养化程度划分为6个等级,选取Chl-a、TP、TN、CODMn和SD等5个指标为评价指标,应用该模型对东昌湖富营养化进行了评价,结果表明:所监测的3个湖区均为富营养化等级,其中又以西北湖区最严重,西南湖区次之,东南湖区相对较好。研究结果与实际相符,说明了此方法具有良好的可靠性,可适用于湖泊富营养化的综合评价。

APPLICATION OF MATTER ELEMENT MODEL BASED ON FUZZY WEIGHT TO EVALUATION OF LAKES EUTROPHICATION

In order to assess index weighted value scientifically,the analytic hierarchy process (AHP) and 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 considers its uncertainties.Referring to Chinese lakes eutrophication standard,the eutrophication degree of lake is divided into 6 grades.Chl-a,TP,TN,CODMn and SD were selected as evaluation indexes.The model was applied to evaluate lake eutrophication of Dongchang Lake and the results were in line with the actual conditions.There was a severe eutrophication in three areas of monitoring in the lake and the north-west area was the most serious one,the south-west area was in the middle and the south-east area was relatively good.The proposed method is proved to be reasonable and reliable,and can be used in comprehensive evaluation of lakes eutrophication.