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引用本文:何可馨,徐芬,周亚倩,覃杰,邬丽姗,何小霞,汪宏,杨睿.四川盆地农业区河流型水库流域地下水硝酸盐来源解析及健康风险研究.湖泊科学,2024,36(4):1144-1151. DOI:10.18307/2024.0427
He Kexin,Xu Fen,Zhou Yaqian,Qin Jie,Wu Lishan,He Xiaoxia,Wang Hong,Yang Rui.Origin and health risks of nitrate in groundwater from a riverine reservoir basin in an agricultural region of Sichuan Basin. J. Lake Sci.2024,36(4):1144-1151. DOI:10.18307/2024.0427
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四川盆地农业区河流型水库流域地下水硝酸盐来源解析及健康风险研究
何可馨1,2,3, 徐芬1,2,3, 周亚倩4, 覃杰5, 邬丽姗6, 何小霞1,2,3, 汪宏1,2,3, 杨睿1,2,3
1.成都理工大学生态环境学院, 成都 610059;2.成都理工大学地质灾害防治与地质环境保护国家重点实验室, 成都 610059;3.成都理工大学水土污染协同控制与联合修复国家环境保护重点实验室, 成都 610059;4.四川万豪企业管理咨询有限公司, 成都 610023;5.成都市兴蓉再生能源有限公司, 成都 610100;6.四川省生态环境科学研究院, 成都 610041
摘要:
地下水硝酸盐(NO3-)污染是一个全球性的环境问题,尤其在农业区普遍存在。地下水中NO3-可以通过交互作用进入地表水中,是地表水NO3-的潜在来源。研究地下水中NO3-的来源及其贡献率对防治周边地表水NO3-污染具有重要意义。本研究以四川盆地农业区河流型水库周边地下水为研究对象,综合运用水文地球化学、多种稳定同位素(δD-H2O和δ18O-H2O,δ15N-NO3-和δ18O-NO3-)、贝叶斯同位素混合模型(SIAR)和人类健康风险评价(HHRA)解析地下水中NO3-的来源与转化过程、不同NO3-来源的贡献率及潜在的人类健康风险。结果表明:丰、枯水期地下水中NO3--N浓度分别为1.24~42.91和0~42.96 mg/L,61%和40%的地下水样品超过了饮用水限值(10 mg/L)。δ15N-NO3-和δ18O-NO3-表明,研究区地下水中NO3-的主要来源为粪肥/生活污水。硝化作用可能是研究区地下水中重要的氮循环过程,存在加剧地下水NO3-污染的风险。SIAR模型得出丰、枯水期地下水中NO3-的主要来源为粪肥/生活污水,贡献率分别为50%和38%。HHRA表明长期饮用研究区NO3-浓度较高的地下水对人类健康具有潜在风险。
关键词:  四川盆地  河流型水库  地下水  硝酸盐  氮氧同位素  贝叶斯同位素混合模型(SIAR)  健康风险评估
DOI:10.18307/2024.0427
分类号:
基金项目:国家自然科学基金项目(41977169,41502233)、四川省重点研发项目(2019YFS0055)和四川省自然科学基金项目(2022NSFC1139)联合资助。
Origin and health risks of nitrate in groundwater from a riverine reservoir basin in an agricultural region of Sichuan Basin
He Kexin1,2,3, Xu Fen1,2,3, Zhou Yaqian4, Qin Jie5, Wu Lishan6, He Xiaoxia1,2,3, Wang Hong1,2,3, Yang Rui1,2,3
1.College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, P. R. China;2.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, P. R. China;3.State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Chengdu University of Technology, Chengdu 610059, P. R. China;4.SiChuan Wanhao Consulting Co., LTD., Chengdu 610023, P. R. China;5.Chengdu Xingrong Renewable Energy Co., LTD., Chengdu 610100, P. R. China;6.Sichuan Academy of Eco-Environmental Sciences, Chengdu 610041, P. R. China
Abstract:
Excess nitrate (NO3-) pollution in groundwater is a global environmental concern, particularly in agricultural areas. Excess NO3- in groundwater can potentially contaminate surface water bodies, thereby serving as a significant source of NO3- contamination. Therefore, quantifying the sources and their contribution of NO3- in groundwater is needed for designing NO3- control strategies. This study selected the groundwater surrounding a riverine reservoir located in an agricultural region of the Sichuan Basin as the study area. Hydrogeochemistry, stable isotopes (δD-H2O and δ18O-H2O, δ15N-NO3- and δ18O-NO3-), the Bayesian isotope mixing model (SIAR), and the human health risk assessment (HHRA) were employed to analyze the sources of NO3- and their contribution, and to evaluate their potential risks to human health. Our investigation results showed that 61% and 40% of groundwater samples exceeded the drinking water guideline (10 mg/L) of NO3--N concentration, with a range of 1.24 to 42.91 mg/L and 0 to 42.96 mg/L during the high and low water-level periods, respectively. The isotopic compositions of δ15N-NO3- and δ18O-NO3- indicated that manure/domestic wastewater were identified as the primary sources of NO3- in the study area. Nitrification was found to be a critical nitrogen cycling process in the groundwater, and may potentially exacerbated NO3- pollution. The SIAR model results revealed that manure/domestic wastewater contributed approximately 50% and 38% of total NO3- concentration in the groundwater during the high and low water-level periods, respectively. Based on HHRA investigation, consumption of groundwater containing high concentrations of NO3- may pose potential health risks to human beings.
Key words:  Sichuan Basin  riverine reservoir  groundwater  nitrate  δ15N-NO-3 and δ18O-NO-3  Bayesian isotope mixing model (SIAR)  health risk assessment
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