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Lake Eutrophication Evaluation and Diagnosis Based on Bayesian Method and SD Model

机译:基于贝叶斯方法和SD模型的湖泊富营养化评价与诊断

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In order to comprehensively evaluate the eutrophication degree of Lake Dianchi, Bayesian Method was applied in this paper. The evaluation result showed that the eutrophication status of Lake Caohai was more serious than that of Lake Waihai, while the eutrophication degree was turning better these years. Besides, in this paper SD model was established to diagnose the socio-economic factors that caused Lake Dianchi Eutrophication. The relationship between socio-economic development and eutrophication was analyzed, which will provide the theoretical basis for planning the urban population distribution and industrial sectors distribution. Ultimately, the N/P ratios of Lake Dianchi which can influence the growth of cyanobacteria were analyzed. The result showed that Lake Caohai and Lake Waihai were at the opposite side of the inflection point of 15, and the eutrophication in Lake Caohai and Lake Waihai should be treated differently.
机译:为了综合评价滇池的富营养化程度,本文采用贝叶斯方法。评价结果表明,近年来草海湖的富营养化状况比外海湖更为严重,而富营养化程度近年来有所改善。此外,本文建立了SD模型来诊断引起滇池富营养化的社会经济因素。分析了社会经济发展与富营养化之间的关系,为规划城市人口分布和工业部门分布提供了理论依据。最终,分析了影响滇池细菌生长的滇池氮磷比。结果表明,草海湖和外海湖在拐点15的对面,应区别对待草海和外海的富营养化。

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