Article(id=1314918615095275872, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1748534400000, receivedDateStr=2025-05-30, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430627844, onlineDateStr=2026-10-08, pubDate=1766160000000, pubDateStr=2025-12-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430627844, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430627844, creator=13701087609, updateTime=1791430627844, updator=13701087609, issue=Issue{id=1314918450573701162, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='12', pageStart='6513', pageEnd='7104', issueExtLink='null', onlineDate='null', pubDate='1766160000000', pubDateStr='2025-12-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430588620, creator='13701087609', updateTime=1791431575400, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922589479333965, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922589479333966, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918450573701162, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6817, endPage=6831, ext={EN=ArticleExt(id=1314918615292408161, articleId=1314918615095275872, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Source analysis and health risk assessment of heavy metal pollution in South Dongting Lake waters, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

To investigate the pollution sources of heavy metal elements and assess the health risk status in the water of South Dongting Lake, and to provide data and methodological support for the precise prevention and control of heavy metal pollution and public health management, a total of 24 surface water samples and 16 groundwater samples were collected in the area. The absolute principal component score-multiple linear regression (APCS-MLR) receptor model and the health risk assessment (HRA) model were applied to analyze and evaluate the contamination sources of eight heavy metals (As, Co, Cr, Mn, Ni, Pb, Zn, Cd) and their associated health risks in the water bodies of South Dongting Lake. The results revealed considerable variation in heavy metal concentrations. In surface water, only Cr exceeded the standard, with an exceedance rate of 33.33% and an average concentration 4.70 times the standard limit. In groundwater, Cr and Mn exceeded the standards, with exceedance rates of 25.00% and 31.25%, and average concentrations 1.32 and 3.07 times their limits, respectively. The remaining elements complied with the relevant quality standards. Most heavy metals showed significant spatial variation, and Cr contributed the most to the total heavy metal concentration in both water bodies. Based on the single-factor and Nemerow pollution indices, Cr in surface water was at a severe pollution level, while Mn and Cr in groundwater were at severe and moderate levels, respectively; however, the overall pollution level of the regional water bodies was relatively light, with good water quality. Pollution source apportionment identified four primary sources: agricultural activities (29.76%), industrial activities (26.78%), natural geological background (23.57%), and traffic-related sources (19.90%). The health risk assessment indicated that risks from the drinking pathway were greater than those from dermal contact, and adults faced higher risks than children. The combined non-carcinogenic risk for adults was primarily attributed to Cr and Zn via the drinking water pathway. The carcinogenic risk of Cr posed a potential threat to both groups through drinking. Furthermore, Cr originating from industrial and agricultural activities was identified as the major contributor to carcinogenic risk. Therefore, to ensure the environmental safety of the water in South Dongting Lake, it was concluded that pollution sources should be strictly controlled, and the supervision and management of heavy metal pollution risks in the water bodies should be continuously strengthened, with priority given to controlling heavy metal pollution caused by industrial activities and agricultural production.

, authors=Xin WU, Zhou OUYANG, Chi-heng WANG, Shi-yang ZHOU, Yi PENG^*, Gao LI, Fan YANG, Kui XIANG, Jie ZHENG, Bing ZHAO, authorsList=Xin WU, Zhou OUYANG, Chi-heng WANG, Shi-yang ZHOU, Yi PENG, Gao LI, Fan YANG, Kui XIANG, Jie ZHENG, Bing ZHAO, authorCompany=null, correspAuthors=Yi PENG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314918615665701218, articleId=1314918615095275872, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=南洞庭湖水体重金属污染源解析与健康风险评价, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

为探究南洞庭湖水体中重金属元素的污染来源及健康风险状况，对其精准防控重金属污染和公众健康管理提供数据与方法支撑，于该区域采集地表水样24份及地下水样16份，采用绝对主成分-多元线性回归受体模型（APCS-MLR）和健康风险评价模型（HRA）对南洞庭湖水体中8种重金属（As、Co、Cr、Mn、Ni、Pb、Zn、Cd）的污染来源及其健康风险进行了解析评估．结果表明：南洞庭湖水体中重金属浓度差异显著，其中地表水仅Cr超标，超标率为33.33%，均值超标4.70倍，地下水Cr和Mn超标，超标率为25.00%、31.25%，均值超标1.32和3.07倍，其余元素均符合相应质量标准；大多重金属空间分布差异大，Cr在各水体的重金属总浓度中占比最高．根据单因子和内梅罗污染指数，Cr于地表水中为重度污染水平，Mn、Cr于地下水中分别为重度及中度污染水平；区域水体污染程度整体相对较轻，水质良好．污染源解析表明，农业因子（29.76%）、工业因子（26.78%）、自然地质因子（23.57%）及交通因子（19.90%）是南洞庭湖水体重金属的4个主要来源．健康风险评价表明，通过饮用途径导致的健康风险高于皮肤接触，且成人面临的风险较儿童更为严重，成人的非致癌综合健康风险主要源于饮用暴露途径下的Cr、Zn，而Cr的致癌风险在饮用途径下对两群体均有潜在威胁，且工业和农业来源的Cr是成人和儿童致癌风险的主要贡献者．因此，为保障南洞庭湖水体环境安全，应强化监管，优先防控工业活动和农业生产导致的水体重金属污染．

, authors=吴鑫, 欧阳舟, 汪驰恒, 周施阳, 彭毅^*, 李高, 杨帆, 向奎, 郑杰, 赵兵, authorsList=吴鑫, 欧阳舟, 汪驰恒, 周施阳, 彭毅, 李高, 杨帆, 向奎, 郑杰, 赵兵, authorCompany=null, correspAuthors=彭毅, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=/lIOjxqz1qwA66eGvTTp/w==, magXml=Sb6GxGFun+YiWypUUGOONQ==, pdfUrl=null, pdf=M8/RQ+HhAYuc1iPTGjgaQw==, pdfFileSize=5071871, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=r5fjERAxClnhtOD63rAZfA==, mapNumber=null, fund=null)}, authors=[Author(id=1314918617498612072, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918615095275872, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=424523195@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918617586692458, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918615095275872, authorId=1314918617498612072, language=EN, stringName=Xin WU, firstName=Xin, middleName=null, lastName=WU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Changsha General Survey of Natural Resources Center, China Geological Survey, Changsha 410600, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918617653801323, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918615095275872, authorId=1314918617498612072, language=CN, stringName=吴鑫, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=中国地质调查局长沙自然资源综合调查中心，湖南 长沙 410600, bio={"content":"

吴鑫（1996-），男，江西南昌人，助理工程师，学士，主要研究方向为水环境污染与评价．发表论文7篇．424523195@qq.com.

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吴鑫（1996-），男，江西南昌人，助理工程师，学士，主要研究方向为水环境污染与评价．发表论文7篇．424523195@qq.com.

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