Correlation Analysis of Turbidity and Total Phosphorus in Water Quality Monitoring Data

At present, water pollution has become an important factor affecting and restricting national and regional economic development. Total phosphorus is one of the main sources of water pollution and eutrophication, so the prediction of total phosphorus in water quality has good research significance. T...

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Bibliographic Details
Published in:Journal on big data (Henderson, Nev.) Vol. 5; pp. 85 - 97
Main Authors: Tan, Wenwu, Zhang, Jianjun, Liu, Xing, Wu, Jiang, Sheng, Yifu, Xiao, Ke, Wang, Li, Lin, Haijun, Sun, Guang, Guo, Peng
Format: Journal Article
Language:English
Published: Henderson Tech Science Press 2023
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ISSN:2579-0056, 2579-0048, 2579-0056
Online Access:Get full text
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Summary:At present, water pollution has become an important factor affecting and restricting national and regional economic development. Total phosphorus is one of the main sources of water pollution and eutrophication, so the prediction of total phosphorus in water quality has good research significance. This paper selects the total phosphorus and turbidity data for analysis by crawling the data of the water quality monitoring platform. By constructing the attribute object mapping relationship, the correlation between the two indicators was analyzed and used to predict the future data. Firstly, the monthly mean and daily mean concentrations of total phosphorus and turbidity outliers were calculated after cleaning, and the correlation between them was analyzed. Secondly, the correlation coefficients of different times and frequencies were used to predict the values for the next five days, and the data trend was predicted by python visualization. Finally, the real value was compared with the predicted value data, and the results showed that the correlation between total phosphorus and turbidity was useful in predicting the water quality.
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ISSN:2579-0056
2579-0048
2579-0056
DOI:10.32604/jbd.2022.030908