Abstract
The process of water eutrophication involves the interaction of external factors, nutrients, microorganisms, and other factors. It is complex and has not yet been effectively studied. To examine the formation process of water eutrophication, a set of orthogonal experiments with three factors and four levels is designed to analyze the key factors. At the same time, with the help of a large amount of monitoring data, the principal component analysis method is used to extract the main components of water eutrophication and determine the effective evaluation indicators of eutrophication. Finally, the Bayesian theory of uncertainty is applied to the evaluation of the eutrophication process to evaluate the sample data. The simulation results demonstrate the validity of the research method.
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CITATION STYLE
Yu, J., Wang, Z., Wang, X., Xu, J., & Jia, J. (2017). Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication. Journal of Chemistry, 2017. https://doi.org/10.1155/2017/2036035
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