Big data analysis of water quality of secondary water supply

被引：2
|
作者：
LiuYing [1 ]
Shu Shihu [1 ,2 ]
WangHongyu [1 ]
Xin, Zhao [2 ]
Qi, Yan [2 ]
机构：
[1] Zhejiang Univ Technol, Hangzhou 310000, Peoples R China
[2] Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
来源：
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE OF INFORMATION AND COMMUNICATION TECHNOLOGY [ICICT-2019] | 2019年 / 154卷
关键词：
Secondary water supply; fuzzy clustering analysis; water safety; correlation;
D O I：
10.1016/j.procs.2019.06.116
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：744 / 749
页数：6
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