Assessing trace element-related health risks in urban centralized drinking water sources in China

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Hui Liu , Siao Sun
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Abstract

Excessive exposure to trace elements through water absorption has raised growing concerns due to their adverse health effects on humans. While previous studies have shed light on health risks associated with trace elements in surface water and tap water using short-term monitoring data, the risks linked specifically to water sources remain poorly understood. This study addresses this research gap by providing a nationwide assessment of health risks associated with 21 trace elements across 1193 water sources in 321 Chinese cities, based on time-series data from 2016 to 2021. The magnitude and frequency of non-carcinogenic and carcinogenic health risks were evaluated at both the source and city levels. Six trace elements, i.e., As, Mo, F, Mn, Sb, and Fe, were identified as posing health risks to urban populations. At the source level, 45 urban water sources (3.8 %) posed potential health risks to children, while 21 (1.8 %) posed risks to adults. At the city level, 26 cities (8.1 %) were identified as having health risks to children. Health risks were more frequent and concentrated in North China, particularly in the Songliao and Yellow River basins. Larger, more economically developed cities with greater water endowment tend to experience lower health risks from their water sources. The comparison of health risks at different stages of the urban water supply system suggests that risks associated with As, F, Mo, and Sb are primarily attributable to their elevated concentrations in urban water sources. These findings highlight the need for proactive water quality protection at the source and integrated quality management throughout the entire water supply system.

Abstract Image

中国城市集中式饮用水源微量元素相关健康风险评价
由于微量元素对人体健康的不利影响,通过吸水过量接触微量元素已引起越来越多的关注。虽然以前的研究利用短期监测数据阐明了与地表水和自来水中微量元素有关的健康风险,但对具体与水源有关的风险仍然知之甚少。本研究基于2016年至2021年的时间序列数据,对中国321个城市1193个水源中21种微量元素的健康风险进行了全国性评估,从而弥补了这一研究空白。在污染源和城市两个层面对非致癌性和致癌性健康风险的程度和频率进行了评估。6种微量元素- as、Mo、F、Mn、Sb和fe -被确定为对城市人口构成健康风险。在水源层面,45个城市水源(3.8%)对儿童构成潜在健康风险,21个(1.8%)对成人构成风险。在城市一级,26个城市(8.1%)被确定存在儿童健康风险。健康风险更频繁且集中在华北地区,特别是松辽和黄河流域。拥有更多水资源的更大、更经济发达的城市往往与水源相关的健康风险更低。城市供水系统不同阶段的健康风险比较表明,与砷、氟、钼和锑相关的风险主要归因于它们在城市水源中的浓度升高。这些发现强调需要在源头上积极主动地保护水质,并在整个供水系统中进行综合质量管理。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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