Study on Mechanism Experiments and Evaluation Methods for Water EutrophicationReport as inadecuate

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Journal of Chemistry - Volume 2017 2017, Article ID 2036035, 7 pages -

Research Article

School of Computer and Information Engineering, Beijing Technology and Business University, Fucheng St., Haidian District, Beijing 100048, China

School of Automation, Beijing Institute of Technology, Zhongguancunnan St., Haidian District, Beijing 100081, China

Correspondence should be addressed to Jiabin Yu

Received 14 November 2016; Revised 21 February 2017; Accepted 9 March 2017; Published 30 March 2017

Academic Editor: Pedro Ávila-Pérez

Copyright © 2017 Jiabin Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.

Author: Jiabin Yu, Zhaoyang Wang, Xiaoyi Wang, Jiping Xu, and Jie Jia



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