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Big Data Analysis of Water Quality of Secondary Water Supply
- Source :
- Procedia Computer Science. 154:744-749
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Water is the source of life and the link that binds all living beings on this planet. This paper takes the Minhang District of Shanghai as an example to analyze the residual chlorine and turbidity of the secondary water supply detected by the six monitoring points in the area. The influence factors of water quality are analyzed according to the test results, at the same time, the correlation between turbidity and residual chlorine is explored, and corresponding solutions are proposed to provide reference for solving these problems.
Details
- ISSN :
- 18770509
- Volume :
- 154
- Database :
- OpenAIRE
- Journal :
- Procedia Computer Science
- Accession number :
- edsair.doi...........6ac99890463147431b74ffb7551678b8