Seasonal and spatial variations of pharmaceuticals and personal care products occurrence and human health risk in drinking water - A case study of China.

Seasonal and spatial variations of pharmaceuticals and personal care products occurrence and human health risk in drinking water - A case study of China.

Jiang, Xinshu;Qu, Yingxi;Zhong, Mengmeng;Li, Wenchao;Huang, Jun;Yang, Hongwei;Yu, Gang;
The Science of the total environment 2019 Vol. 694 pp. 133711
252
jiang2019seasonalthe

Abstract

A case study was implemented to investigate the seasonal and spatial variations of 43 kinds of pharmaceuticals and personal care products (PPCPs) in the water supply system of Changzhou in China. The source water, water samples in each unit along the drinking water treatment process, as well as the drinking water product in both urban and rural area in different seasons have been included. The total concentrations of detected PPCPs range from 6.37 ng/L to 809.28 ng/L, the level of which is higher than other reports in China. In summer, more kinds of PPCPs were at higher concentrations in drinking water in urban area in spite of that fewer kinds of PPCPs were detected in raw water than in winter. It mainly because some kinds of PPCPs, which can be still detected under higher temperature and stronger irradiation in summer, were hardly removed by the drinking water treatment plant (DWTP). Therefore, people are at relatively higher health risk by PPCPs exposure through the intake of drinking water during summer than winter. The advanced treatment which applied GAC (granular activated carbon) filtration improved 2% to 46% of removal efficiency on PPCPs compared with conventional process, for which advanced treatment processes should be advocated in more DWTPs in China. In rural private wells, the situation is more worrying. Twelve more kinds of PPCPs were detected in rural drinking water than in urban, of which the max concentration reached 107 ng/L. The total concentrations of PPCPs in drinking water in rural area were obviously higher than in urban area, which lead to risk quotient (RQ) values of 4-6 times higher.

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ID: 17826
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