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Article

Evaluation of Aquaculture Water Quality Based on Improved Fuzzy Comprehensive Evaluation Method

by 1,*,†, 1,†, 1,†, 1,†, 2,‡, 1, 1 and 3
1
College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China
2
College of Biosystems Engineering and Food Science, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
3
Tianjin Institute of Agricultural Machinery, Tianjin 300193, China
*
Author to whom correspondence should be addressed.
These authors contributed to the work equally and should be regarded as co-first authors.
The author is second author.
Academic Editors: Bommanna Krishnappan and George Arhonditsis
Water 2021, 13(8), 1019; https://doi.org/10.3390/w13081019
Received: 7 February 2021 / Revised: 2 April 2021 / Accepted: 6 April 2021 / Published: 8 April 2021
(This article belongs to the Section Water, Agriculture and Aquaculture)
The quality of aquaculture waters is directly related to water management and aquaculture efficiency, which puts forward higher requirements for water quality evaluation. Based on the consideration of the influence of temporal and spatial changes on the water quality, this paper proposed an improved fuzzy comprehensive evaluation method for aquaculture water quality evaluation. Specifically, constructing a new membership function in the first place, and then selecting dissolved oxygen, pH, temperature and ammonia nitrogen content as water quality indexes for aquaculture, after that, collecting 60 sets of water quality index for different seasons in the past three years, finally, evaluating the water quality of Yangjiabo Aquaculture Base. Meanwhile, comparing it with the evaluation results of the single factor evaluation method and the traditional fuzzy evaluation method. The results show that the water quality of the Yangjiabo Aquaculture Base is at the worst level in winter, and the water quality has improved significantly in spring, summer and autumn. Compared with the other two method, the improved method can comprehensively reflect the changes in water quality with time and space, which is more practical, and so it can be considered to provide a scientific basis for efficient aquaculture and water quality classification. View Full-Text
Keywords: time dimension; weight reconstruction; evaluation factor; model test time dimension; weight reconstruction; evaluation factor; model test
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MDPI and ACS Style

You, G.; Xu, B.; Su, H.; Zhang, S.; Pan, J.; Hou, X.; Li, J.; Ding, R. Evaluation of Aquaculture Water Quality Based on Improved Fuzzy Comprehensive Evaluation Method. Water 2021, 13, 1019. https://doi.org/10.3390/w13081019

AMA Style

You G, Xu B, Su H, Zhang S, Pan J, Hou X, Li J, Ding R. Evaluation of Aquaculture Water Quality Based on Improved Fuzzy Comprehensive Evaluation Method. Water. 2021; 13(8):1019. https://doi.org/10.3390/w13081019

Chicago/Turabian Style

You, Guodong; Xu, Bin; Su, Honglin; Zhang, Shang; Pan, Jinming; Hou, Xiaoxin; Li, Jisheng; Ding, Runsuo. 2021. "Evaluation of Aquaculture Water Quality Based on Improved Fuzzy Comprehensive Evaluation Method" Water 13, no. 8: 1019. https://doi.org/10.3390/w13081019

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