基于云模型的水体富营养化程度评价方法

水体富营养化程度评价对生态环境保护具有重要意义.针对水体富营养化程度评价不可避免的模糊性和随机性的特点,本文引入云模型的方法,对我国14个代表性湖库的富营养化程度进行评价.根据确定的评价标准,生成各评价因子隶属于各级别的综合云模型,并针对湖库实测资料,得到各评价物的确定度,由最大确定度决定湖库营养化级别.将该法所得结果与湖库实际水质状况、国内外应用较为广泛且简便的营养状态指数、评分公式法及模糊综合评价法所得结果进行对比,发现评价结果真实可靠,计算过程简洁明了,验证了该方法的可行性和有效性.

The evaluation method of water eutrophication based on cloud model

The evaluation of water eutrophication is important in the field of ecological environmental protection. According to the characteristics of the inevitable fuzziness and randomness in the evaluation of water eutrophication, this paper introduces the cloud model method to evaluate the eutrophication of China's 14 typical lakes and reservoirs. The comprehensive cloud of each factor on each level has been generated based on the assessment index and assessment factors. According to the measured data for lakes and reservoirs, the degree of certainty for each evaluation material can be obtained. The eutrophication level of lakes and reservoirs is then determined by the maximum degree of certainty. Comparing the evaluation results from this developed cloud model method with the actual water quality conditions and the results from some widely used methods, such as nutritional status index method, simple scoring formula method and fuzzy comprehensive assessment method, it can be concluded that the cloud model method is reliable, simple and straightforward, thus its feasibility and effectiveness is verified.