Abstract
The Logistic Curve eutrophication level comprehensive evaluation model was used to generate model samples and verification samples based on the evaluation grade criteria and uniform random numbers and was solved using an accelerated genetic algorithm The water quality monitoring indicators in July, August, September and October of 2017 were selected to evaluate the water environment quality of Darinol Lake and determine the eutrophication level. The results showed that the degree of eutrophication in Darinol Lake is close to five extremely eutrophic state, and the eutrophication grades in July, August, September and October showed a slowly decreasing trend.
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