In order to find a eutrophication evaluation method that better matches the coal mining subsidence water area,the closed subsidence area of Panyi Mine was selected as the research object in Huainan,and the indicators,such as Chl-a,TN,TP,COD,SD,etc,were monitored in this area and in different seasons.Three assessment methods,namely,comprehensive nutrition state index method,artificial neural network method,and improved fuzzy comprehensive evaluation method were carried on to judge to compare the eutrophication state of the area.The results showed that the improved fuzzy comprehensive evaluation method for rough sets was stricter with the comprehensive nutritional status index method as a reference,and it was more consistent with the actual situation of subsidence area in the analysis of eutrophication in space-time scale.The artificial neural network method was characterized with weakening the degree of eutrophication.Combined with the changing trend of water quality,it can be concluded that the eutrophication status of the closed seed-water area is closely related to the surrounding agricultural production activities,human habitation and other factors.
Journal of Anhui University of Science and Technology:Natural Science
subsidence water area
artificial neural network
fuzzy comprehensive evaluation