Article(id=1314922098057900115, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922077824578469, 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=1751817600000, receivedDateStr=2025-07-07, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791431458247, onlineDateStr=2026-10-08, pubDate=1771516800000, pubDateStr=2026-02-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791431458247, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791431458247, creator=13701087609, updateTime=1791431458247, updator=13701087609, issue=Issue{id=1314922077824578469, tenantId=1146029695717560320, journalId=1234093305789726721, year='2026', volume='46', issue='2', pageStart='593', pageEnd='1184', issueExtLink='null', onlineDate='null', pubDate='1771516800000', pubDateStr='2026-02-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791431453424, creator='13701087609', updateTime=1791431520751, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922360277398376, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922077824578469, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922360277398377, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314922077824578469, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=972, endPage=988, ext={EN=ArticleExt(id=1314922098246643796, articleId=1314922098057900115, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Foundational research and development pathways of exposure assessment models for emerging pollutants under representative scenarios, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

With the frequent detection of emerging pollutants (EPs) at typical industrial sites, increasing attention has been directed toward their migration and exposure behaviors within soil-groundwater systems. This study focuses on the urgent need for localized construction of exposure assessment models in China. Drawing upon current practices in site management and simulation, it identifies key obstacles in data acquisition, parameter applicability, and methodological integration. On this basis, the paper systematically reviews existing contaminant transport models in both unsaturated and saturated zones, comparing their applicability with respect to process representation, spatial scale, and coupling capacity. It further explores recent trends in model integration and intelligent development, particularly the potential value of combining physics-based mechanisms with data-driven approaches. In light of China's complex geological and contamination conditions, the study proposes a technical pathway for advancing exposure model development. It emphasizes the importance of standardized scenario construction, localization of environmental parameter databases, and integrated platform development, aiming to enhance both the scientific robustness and practical applicability of exposure simulations and to support the establishment of a risk management framework for emerging pollutants.

, authors=Lu-yao GU¹, Rong ZHOU¹, Si-min LI¹, Hong-xin MU¹, Yuan-qing BU^{1, 2, 3, *}, authorsList=Lu-yao GU, Rong ZHOU, Si-min LI, Hong-xin MU, Yuan-qing BU, authorCompany=null, correspAuthors=Yuan-qing BU, 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=1314922098460553301, articleId=1314922098057900115, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=典型场景下新污染物暴露评估模型的研究基础与开发路径, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

随着新污染物在典型工业场地中的频繁检出，其在土壤-地下水系统中的迁移与暴露问题日益引发关注．聚焦我国暴露评估模型本土化构建的现实需求，结合当前污染场地管理与模拟实践，识别了建模工作中在数据获取、参数适用性与方法集成方面存在的关键障碍．系统梳理了国内外非饱和带与饱和带污染物迁移模型，比较其在过程表达、空间尺度和模型耦合方面的适用边界，并探讨了模型集成与建模智能化的发展趋势，特别是在融合物理机制与数据驱动方法方面所展现的潜在价值．针对我国典型地质与污染特征，进一步提出推进暴露评估模型发展的技术路径，强调应通过情境构建的标准化、参数数据库的本土化与评估平台的一体化集成，提升模型的科学性与实用性，为新污染物环境暴露模拟与健康风险管理体系的构建提供支撑．

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顾璐瑶（1997-），女，江苏无锡人，助理研究员，硕士，主要从事新污染物筛查与风险评估研究．发表论文5篇．guluyao@nies.org.

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顾璐瑶（1997-），女，江苏无锡人，助理研究员，硕士，主要从事新污染物筛查与风险评估研究．发表论文5篇．guluyao@nies.org.

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