Index Correlation Analysis in Water Quality Monitoring Big Data
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Published:2023-05-01
Issue:1
Volume:2504
Page:012059
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ISSN:1742-6588
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Container-title:Journal of Physics: Conference Series
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language:
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Short-container-title:J. Phys.: Conf. Ser.
Author:
Li Hao,Yu Ziwen,Song Lingyu,Chen Xia,Tan WenWu,Li Peilun,Zhang Jianjun,Xiao Ke,Wang Li,Lin Haijun
Abstract
Abstract
Among the water quality indicators, permanganate and turbidity are important indicators to reflect the pollution status of water bodies. In order to study the correlation between the two, the water quality monitoring data of relevant water areas were obtained by designing a web crawler, and the water quality monitoring data set was constructed. After the data was cleaned, the correlation analysis was carried out. The experimental results show that there is a big difference in the correlation coefficient between the two indicators at different periods of the same monitoring point. The correlation between the two indicators in the abundant-water season is greater than that in the flat-water season, and the correlation between them in the flat-water season is greater than that in the poor-water season. Among them, there was a high positive correlation between the two indicators during the abundant-water season, and there is little correlation between them during the poor-water season.
Subject
Computer Science Applications,History,Education
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