Understanding point-of-use tap water quality: From instrument measurement to intelligent analysis using sample filtration

被引:7
|
作者
Su, Zhaoyang [1 ]
Liu, Ting [2 ]
Men, Yujie [3 ]
Li, Shuo [1 ]
Graham, Nigel [4 ]
Yu, Wenzheng [1 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Environm Aquat Chem, Beijing 100085, Peoples R China
[2] Beijing Inst Technol, Sch Chem & Chem Engn, Beijing 100081, Peoples R China
[3] Univ Calif Riverside, Dept Chem & Environm Engn, Riverside, CA 92521 USA
[4] Imperial Coll London, Dept Civil & Environm Engn, South Kensington Campus, London SW7 2AZ, England
基金
北京市自然科学基金;
关键词
Tap water; Pipe age; Water quality; Point-of-use; Bacterial communities; Membrane filters; DRINKING-WATER; BACTERIAL COMMUNITIES; DISTRIBUTION-SYSTEM; PIPE MATERIALS; CORROSION; LEAD; BIOFILMS; DISINFECTANT; MICROBIOME; CHLORINE;
D O I
10.1016/j.watres.2022.119205
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In most cases, point-of-use tap water quality is not routinely monitored due to widely-dispersed sampling sites and the costly tests. Although previous studies have revealed the variation of drinking water quality during distribution in municipal networks, the influence of aging pipes in buildings on quality is still unknown and this makes it difficult for water utilities to conduct regular maintenance. Herein, we have undertaken a survey of tap water samples across 8 districts in Beijing (China) to evaluate the potential effects of pipe age on point-of-use water quality, including turbidity, organic matter characteristics, and bacterial community. By grouping the collected samples according to the pipe age and source water respectively, the results suggested that bacterial diversity is significantly influenced by the pipe age. However, bacterial community structure is clearly influenced by the source water. Similarly, aging pipes in buildings are also responsible for the deterioration of the final water quality, and their effects have been closely linked to selected water quality parameters by evaluating the relevant factors. Moreover, the interrelationships between physico-chemical parameters and bacteria abundance were identified. For example, pH, Ca2+, Mg2+, Na+ and K+ showed a positive relationship with Bacillus abundance. In addition, an intelligent analysis method for understanding pipe age, organic matter concentration, and hardness (i.e., Ca2+ and Mg2+ concentration), based on image analysis of filtered membranes has been developed. The accuracy of prediction was encouraging, but can be improved with the collection of more data from tap water samples. We expect that this method can be exploited by the public to monitor their tap water and provide a feasible and cost-effective approach for water suppliers to locate aging/deteriorating pipes which need to be replaced or maintained.
引用
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页数:11
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