Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication
Joint Authors
Wang, Xiao-yi
Xu, Ji-ping
Yu, Jia-bin
Wang, Zhaoyang
Jia, Jie
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yu, Jia-bin& Wang, Zhaoyang& Wang, Xiao-yi& Xu, Ji-ping& Jia, Jie. 2017. Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication. Journal of Chemistry،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1171462
Modern Language Association (MLA)
Yu, Jia-bin…[et al.]. Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication. Journal of Chemistry No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1171462
American Medical Association (AMA)
Yu, Jia-bin& Wang, Zhaoyang& Wang, Xiao-yi& Xu, Ji-ping& Jia, Jie. Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication. Journal of Chemistry. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1171462
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1171462