Source identification and health risk assessment of urban groundwater nitrate contamination in Chongqing, southwestern China

IF 5 2区 地球科学 Q1 WATER RESOURCES
Yunhui Zhang , Zhan Xie , Weiting Liu , Jinhang Huang , Si Chen , Xingjun Zhang , Chang Yang , Junyi Li , Wulue Kang , Yangshuang Wang
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Abstract

Study region

Chongqing, southwestern China

Study focus

Excessive nitrate (NO3⁻) concentrations in groundwater pose considerable threats to human health. The identification of nitrate along with its transport mechanisms in groundwater systems and the associated human health risks is a critical challenge that requires urgent attention, particularly in urban areas. To reach the goals, 41 groundwater samples were collected from the urban area of Chongqing.

New hydrological insights for the region

Nitrate is the primary chemical parameter that exceeds regulatory standards (20 mg/L) in the groundwater of the study area, with an average concentration of 19.47 mg/L, and 20 % of the samples surpassing the threshold. The results of natural background levels and Moran’s index revealed that elevated NO3⁻ concentrations were distributed within the Guanyinxia anticline, an area predominantly characterized by cropland. The Bayesian MixSIAR model indicated that agricultural activities were the primary contribution (27.7 % - 77.6 %) to the nitrate source in groundwater. In the Guanyinxia anticline, nitrate derived from agricultural activities accounts for more than 70 % of the total nitrate in groundwater. Hydrodynamic field simulations demonstrated that nitrate in groundwater predominantly migrated downward along the orientation of rock strata in the anticline. Human health risk assessment revealed that children may face non-carcinogenic risks due to nitrate exposure, with a maximum hazard index of 15.553. The non-parametric method further demonstrated minimal error in Monte Carlo simulations when applied to datasets containing outliers. These findings provide valuable insights into source identification and health risk assessment of urban groundwater nitrate contamination around the world.
重庆市城市地下水硝酸盐污染来源识别及健康风险评价
研究区域:中国西南部重庆研究重点:地下水中硝酸盐(NO3)浓度过高对人类健康构成相当大的威胁。查明硝酸盐及其在地下水系统中的运输机制和相关的人类健康风险是一项重大挑战,需要紧急关注,特别是在城市地区。为了达到目标,在重庆市城区采集了41个地下水样本。硝酸盐是研究区地下水中超标的主要化学参数(20 mg/L),平均浓度为19.47 mg/L, 20 %的样品超标。自然背景浓度和Moran’s指数结果显示,NO3⁻浓度升高主要分布在以农田为主要特征的观音峡背斜地区。Bayesian MixSIAR模型表明,农业活动是地下水硝酸盐源的主要贡献(27.7 % ~ 77.6 %)。在观音峡背斜,农业活动产生的硝酸盐占地下水硝酸盐总量的70%以上 %。水动力场模拟表明,地下水中硝酸盐主要沿背斜岩层方向向下运移。人体健康风险评估显示,儿童接触硝酸盐可能面临非致癌风险,最大危害指数为15.553。当应用于包含异常值的数据集时,非参数方法进一步证明了蒙特卡罗模拟的最小误差。这些发现为世界各地城市地下水硝酸盐污染的来源识别和健康风险评估提供了有价值的见解。
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来源期刊
Journal of Hydrology-Regional Studies
Journal of Hydrology-Regional Studies Earth and Planetary Sciences-Earth and Planetary Sciences (miscellaneous)
CiteScore
6.70
自引率
8.50%
发文量
284
审稿时长
60 days
期刊介绍: Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.
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