Jilin Zheng , Xiaoyu Guo , Yanlong Cai , Junshuai Liu , Dake Wang , Xiaoqi Gao , Bowen Tan
{"title":"中国小兴安岭北部农业区浅层地下水硝酸盐污染的来源分配与健康风险","authors":"Jilin Zheng , Xiaoyu Guo , Yanlong Cai , Junshuai Liu , Dake Wang , Xiaoqi Gao , Bowen Tan","doi":"10.1016/j.ejrh.2025.102394","DOIUrl":null,"url":null,"abstract":"<div><h3>Study region</h3><div>Northern Xiaoxing'an Mountains, a key agricultural region in Northeast China.</div></div><div><h3>Study focus</h3><div>Groundwater nitrate (NO₃⁻) contamination has become a widespread concern due to agricultural intensification and anthropogenic activities. This study investigated the sources, spatial distribution, and health risks of nitrate pollution using hydrochemical analysis, multivariate statistical methods, and health risk assessment. APCS-MLR (Absolute Principal Component Scores-Multiple Linear Regression) was employed to quantify pollution sources, while Monte Carlo simulation was utilized to assess health risks among different population groups.</div></div><div><h3>New hydrological insights for the region</h3><div>Groundwater NO₃⁻ concentrations averaged 31.06 mg/L, with 60 % of samples exceeding Class III water quality standards. APCS-MLR identified agricultural activities as the dominant pollution source (64.04 %), followed by domestic sewage (24.14 %), with pollution hotspots concentrated in intensive farming areas. Hydrochemical analysis revealed two predominant groundwater types: Ca-HCO₃ and Ca-Cl(NO₃+SO₄), with the latter associated with anthropogenic contamination. Health risk assessment highlighted infants as the most vulnerable group, with a 95th percentile Hazard Quotient of 2.38, significantly exceeding the safety threshold. Key factors distinguishing agricultural and domestic pollution sources included distinctive correlations between NO₃⁻, Cl⁻, and SO₄²⁻, hydrochemical patterns in Gibbs diagrams, and spatial correspondence with land use. This comprehensive characterization provides a scientific foundation for implementing targeted nitrate management strategies in this agriculturally important region.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102394"},"PeriodicalIF":4.7000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Source apportionment and health risks of nitrate pollution in shallow groundwater in the agricultural Northern Xiaoxing' an Mountains region of China\",\"authors\":\"Jilin Zheng , Xiaoyu Guo , Yanlong Cai , Junshuai Liu , Dake Wang , Xiaoqi Gao , Bowen Tan\",\"doi\":\"10.1016/j.ejrh.2025.102394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Study region</h3><div>Northern Xiaoxing'an Mountains, a key agricultural region in Northeast China.</div></div><div><h3>Study focus</h3><div>Groundwater nitrate (NO₃⁻) contamination has become a widespread concern due to agricultural intensification and anthropogenic activities. This study investigated the sources, spatial distribution, and health risks of nitrate pollution using hydrochemical analysis, multivariate statistical methods, and health risk assessment. APCS-MLR (Absolute Principal Component Scores-Multiple Linear Regression) was employed to quantify pollution sources, while Monte Carlo simulation was utilized to assess health risks among different population groups.</div></div><div><h3>New hydrological insights for the region</h3><div>Groundwater NO₃⁻ concentrations averaged 31.06 mg/L, with 60 % of samples exceeding Class III water quality standards. APCS-MLR identified agricultural activities as the dominant pollution source (64.04 %), followed by domestic sewage (24.14 %), with pollution hotspots concentrated in intensive farming areas. Hydrochemical analysis revealed two predominant groundwater types: Ca-HCO₃ and Ca-Cl(NO₃+SO₄), with the latter associated with anthropogenic contamination. Health risk assessment highlighted infants as the most vulnerable group, with a 95th percentile Hazard Quotient of 2.38, significantly exceeding the safety threshold. Key factors distinguishing agricultural and domestic pollution sources included distinctive correlations between NO₃⁻, Cl⁻, and SO₄²⁻, hydrochemical patterns in Gibbs diagrams, and spatial correspondence with land use. This comprehensive characterization provides a scientific foundation for implementing targeted nitrate management strategies in this agriculturally important region.</div></div>\",\"PeriodicalId\":48620,\"journal\":{\"name\":\"Journal of Hydrology-Regional Studies\",\"volume\":\"59 \",\"pages\":\"Article 102394\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology-Regional Studies\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214581825002198\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology-Regional Studies","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214581825002198","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Source apportionment and health risks of nitrate pollution in shallow groundwater in the agricultural Northern Xiaoxing' an Mountains region of China
Study region
Northern Xiaoxing'an Mountains, a key agricultural region in Northeast China.
Study focus
Groundwater nitrate (NO₃⁻) contamination has become a widespread concern due to agricultural intensification and anthropogenic activities. This study investigated the sources, spatial distribution, and health risks of nitrate pollution using hydrochemical analysis, multivariate statistical methods, and health risk assessment. APCS-MLR (Absolute Principal Component Scores-Multiple Linear Regression) was employed to quantify pollution sources, while Monte Carlo simulation was utilized to assess health risks among different population groups.
New hydrological insights for the region
Groundwater NO₃⁻ concentrations averaged 31.06 mg/L, with 60 % of samples exceeding Class III water quality standards. APCS-MLR identified agricultural activities as the dominant pollution source (64.04 %), followed by domestic sewage (24.14 %), with pollution hotspots concentrated in intensive farming areas. Hydrochemical analysis revealed two predominant groundwater types: Ca-HCO₃ and Ca-Cl(NO₃+SO₄), with the latter associated with anthropogenic contamination. Health risk assessment highlighted infants as the most vulnerable group, with a 95th percentile Hazard Quotient of 2.38, significantly exceeding the safety threshold. Key factors distinguishing agricultural and domestic pollution sources included distinctive correlations between NO₃⁻, Cl⁻, and SO₄²⁻, hydrochemical patterns in Gibbs diagrams, and spatial correspondence with land use. This comprehensive characterization provides a scientific foundation for implementing targeted nitrate management strategies in this agriculturally important region.
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.