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Heavy metals in influent and effluent from 146 drinking water treatment plants across China: Occurrence, explanatory factors, probabilistic health risk, and removal efficiency.
Zhang, Kunfeng; Chang, Sheng; Zhang, Qi; Bai, Yunsong; Wang, Enrui; Zhang, Moli; Fu, Qing; Wei, Liangliang; Yu, Yanling.
Afiliação
  • Zhang K; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Research Centre of Lake Environment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy
  • Chang S; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Research Centre of Lake Environment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy
  • Zhang Q; School of Forestry, Northeast Forestry University, 26 Hexing Road, Harbin 150040, China. Electronic address: rizhaozhangqi@163.com.
  • Bai Y; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Research Centre of Lake Environment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy
  • Wang E; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Research Centre of Lake Environment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy
  • Zhang M; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Research Centre of Lake Environment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy
  • Fu Q; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Drinking Water Source Protection, Research Centre of Lake Environment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy
  • Wei L; State Key Laboratory of Urban Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China.
  • Yu Y; Elite Engineers School, Harbin Institute of Technology, Harbin 150080, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150080, China. Electronic address: yuyanling@hit.edu.cn.
J Hazard Mater ; 450: 131003, 2023 05 15.
Article em En | MEDLINE | ID: mdl-36857822
ABSTRACT
Heavy metals (HMs) in drinking water have drawn worldwide attention due to their risks to public health; however, a systematic assessment of the occurrence of HMs in drinking water treatment plants (DWTPs) at a large geographical scale across China and the removal efficiency, human health risks, and the correlation with environmental factors have yet to be established. Therefore, this study characterised the occurrence patterns of nine conventional dissolved HMs in the influent and effluent water samples from 146 typical DWTPs in seven major river basins across China (which consist of the Yangtze River, the Yellow River, the Songhua River, the Pearl River, the Huaihe River, the Liaohe River and the Haihe River) for the first time and removal efficiency, probabilistic health risks, and the correlation with water quality. According to the findings, a total of eight HMs (beryllium (Be), antimony (Sb), barium (Ba), molybdenum (Mo), nickel (Ni), vanadium (V), cobalt (Co) and titanium (Ti)) were detected, with detection frequencies in influent and effluent water ranging from 2.90 (Mo) to 99.30% (Ba) and 1.40 (Ti) to 97.90% (Ba), respectively. The average concentration range was 0.41 (Be)- 77.36 (Sb) µg/L. Among them, Sb (exceeding standard rate 8%), Ba (2.89%), Ni (21.43%), and V (1.33%) were exceeded the national standard (GB5749-2022). By combining Spearman's results and redundancy analysis, our results revealed a close correlation among pH, turbidity (TURB), potassium permanganate index (CODMn), and total nitrogen (TN) along with the concentration and composition of HMs. In addition, the concentration of HMs in finished water was strongly affected by the concentration of HMs in raw water, as evidenced by the fact that HMs in surface water poses a risk to the quality of finished water. Metal concentration was the primary factor in assessing the health risk of a single metal, and the carcinogenic risk of Ba, Mo, Ni, and Sb should be paid attention to. In DWTPs, the removal efficiencies of various HMs also vary greatly, with an average removal rate ranging from 16.30% to 95.64%. In summary, our findings provide insights into the water quality and health risks caused by HMs in drinking water.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Potável / Metais Pesados Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Potável / Metais Pesados Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article