Study on water quality evaluation of the Yangtze River based on three-parameter index system and gray correlation analysis

Jiacheng Wu; Zijie Chen; Sen Zhang; Liyang Zhen

doi:10.1117/12.2639567

27 June 2022 Study on water quality evaluation of the Yangtze River based on three-parameter index system and gray correlation analysis

Jiacheng Wu, Zijie Chen, Sen Zhang, Liyang Zhen

Author Affiliations +

Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 1225311 (2022) https://doi.org/10.1117/12.2639567
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

With the rapid development of the social economy, various industries' water consumption is growing rapidly, and the sewage discharge is also increasing. This paper studies the modeling of the water quality of the Yangtze River. First of all, this paper uses the three-parameter comprehensive evaluation index to express the average pollution index of the observation stations of the Yangtze River in the past two years, makes a comprehensive evaluation of the water quality of the Yangtze River, obtains the comprehensive evaluation index, and analyzes the pollution situation of each region. Then the amount of permanganate and ammonia nitrogen polluted in the river section between the adjacent observation points on the mainstream (kg/ day) is used to evaluate the pollution status of the river section and analyze the seriously polluted areas. Finally, according to the grayscale principle, the gray prediction model is used to process the data, reduce the random influence of the original data, and predict the wastewater discharge of the Yangtze River in the next ten years.

Citation Download Citation

Jiacheng Wu, Zijie Chen, Sen Zhang, and Liyang Zhen "Study on water quality evaluation of the Yangtze River based on three-parameter index system and gray correlation analysis", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 1225311 (27 June 2022); https://doi.org/10.1117/12.2639567

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