Abstract：As to characteristics of the nonlinearity of water body eutrophication evaluation system, the randomness of weight assignment and inaccuracy of subordinate function during the process of fuzzy comprehensive evaluation, an improved fuzzy comprehensive evaluation method has been pointed out through improving the traditional fuzzy comprehensive evaluation method, and it has been applied to evaluate degrees of eutrophication of water body in 24representative lakes and reservoirs in China. During the process of improvement, the analytic hierarchy process was combined with principal component analysis by software SPSS16.0and Yaaph to determine index weights, and the determined evaluation criteria were logarithmically transformed to linear, and also each index membership function of logarithmic and lower semi-trapezoid form corresponding to every trophic levels was generated based on distribution characteristics of detected field data, then the membership degree of each lake or reservoir can be obtained and its eutrophication level can be determined by the principle of maximum membership degree. The result of the improved method has been compared with actual eutrophication status of lakes or reservoirs and evaluated results obtained by present evaluation methods, which shows that the calculating process of the improved method is simple, and its result is true and accurate, thus the method is feasible and practical.
陈藜藜, 金腊华. 湖库富营养化的改进型模糊综合评价方法研究[J]. 中国环境科学, 2014, 34(12): 3223-3229.
CHEN Li-Li, JIN La-Hua. An improved fuzzy comprehensive evaluation method of eutrophication for lakes and reservoirs. CHINA ENVIRONMENTAL SCIENCECE, 2014, 34(12): 3223-3229.
