Article(id=1314918441115541689, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, 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=1744300800000, receivedDateStr=2025-04-11, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430586364, onlineDateStr=2026-10-08, pubDate=1763568000000, pubDateStr=2025-11-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430586364, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430586364, creator=13701087609, updateTime=1791430586364, updator=13701087609, issue=Issue{id=1314918356222829028, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='11', pageStart='5921', pageEnd='6512', issueExtLink='null', onlineDate='null', pubDate='1763568000000', pubDateStr='2025-11-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430566125, creator='13701087609', updateTime=1791431596967, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314922679942078535, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314922679942078536, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314918356222829028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=6331, endPage=6342, ext={EN=ArticleExt(id=1314918441321062586, articleId=1314918441115541689, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Comparative study of aquifer heterogeneity characterization methods on groundwater numerical simulation results, columnId=1234106388083954308, journalTitle=China Environmental Science, columnName=Environmental Ecology, runingTitle=null, highlight=null, articleAbstract=

Aquifer heterogeneity characterization was recognized as crucial for enhancing the accuracy of groundwater models and the reliability of resource assessments and pollution control strategies. The Nugusitai Water Source, located in the Horqin District of Tongliao City, Inner Mongolia, was selected as a case study. Spatial distributions of hydraulic conductivity (K) and storativity (S_s) in a confined aquifer were characterized using three methods: Parameter Zoning, Ordinary Kriging (OK), and Sequential Gaussian Simulation (SGS). Heterogeneous isotropic models for flow and transport were constructed to evaluate the predictive impacts of each method.Results indicated that K fields generated through OK and SGS were associated with improved fits to observed hydraulic heads compared to Zoning, as evidenced by higher R² and Nash-Sutcliffe efficiency (NSE) values and lower root mean square error (RMSE). In pumping scenarios, the Zoning approach was found to cause abrupt changes in hydraulic gradients along sub-zone boundaries due to discontinuities in K values, resulting in distorted equipotential lines. The oversimplification inherent in Zoning also led to high sensitivity of predicted contaminant plume extent to the estimated K values within sub-zones. By contrast, SGS, which preserved spatial variance, produced more conservative and spatially constrained plume predictions. Storativity characterization methods were determined to have a negligible effect on model outcomes. Under common constraints such as limited borehole density, it was concluded that method selection should be aligned with specific objectives of the numerical simulation: OK was more suitable for delinerating the maximum Pollution risk Control zone, while SGS was more suitable for balancing spatial variability with local uncertainty, such as in precision remediation applications. This study provided empirical support for the selection of appropriate modeling methods in groundwater management and pollution risk mitigation efforts.

, authors=Jin-wen XUE¹, Jian-nan LUO^{1, *}, Jing HAN², Bi-shan MENG¹, authorsList=Jin-wen XUE, Jian-nan LUO, Jing HAN, Bi-shan MENG, authorCompany=null, correspAuthors=Jian-nan LUO, 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=1314918441606275259, articleId=1314918441115541689, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=含水层非均质性表征方法对地下水数值模拟结果影响的对比研究, columnId=1234106388268503686, journalTitle=中国环境科学, columnName=环境生态, runingTitle=null, highlight=null, articleAbstract=

含水层非均质性表征是提高地下水数值模型精度的关键,直接影响地下水资源评价与污染防治的可靠性;因此以内蒙古通辽市科尔沁区努古斯台水源地为例,采用参数分区法、普通克里金插值法和序贯高斯模拟（Sequential Gaussian Simulation, SGS）刻画承压含水层渗透系数与贮水率的空间分布,构建非均质各向同性地下水流模型及溶质运移模型,分析不同表征方法对模型预测的影响.结果表明:与参数分区法相比,由克里金插值与SGS表征渗透系数场产生的模拟水位与实测水位拟合的R²、NSE更高,RMSE更低,提升了模型精度;抽水情景下,参数分区法在子区边界处因渗透系数阶跃突变引发水力坡度陡变,导致等水位线形态发生改变;参数分区法因过度简化非均质性,污染羽展布范围对子区间渗透系数估值敏感,而SGS由于表征时保留原始方差,预测的污染羽展布范围更小,较为保守;贮水率的表征方法对水流及溶质运移结果影响不显著.在污染修复实践中,勘探点布设密度受限是常见约束,方法选择应契合数值模拟目标:若需划定最大污染风险管辖区,选择克里金插值更合适;若需平衡空间变异性与局部不确定性（如精准修复设计）,则SGS更具优势.研究结果为地下水精准管理与污染风险防控中模型方法的选择提供了依据.

, authors=薛锦雯¹, 罗建男^{1, *}, 韩婧², 孟碧珊¹, authorsList=薛锦雯, 罗建男, 韩婧, 孟碧珊, authorCompany=null, correspAuthors=罗建男, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=PgvkPOP69Q6V5mqTNEi8JQ==, magXml=L3hdELoQfXnZ5+iUpdPfLw==, pdfUrl=null, pdf=wvbLxGk/9RKYWcI+aStdpQ==, pdfFileSize=3490307, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=uAdmudKERlOIgx8t12EzYQ==, mapNumber=null, fund=null)}, authors=[Author(id=1314918442013122755, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918441115541689, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1820841245@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314918442113786053, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918441115541689, authorId=1314918442013122755, language=EN, stringName=Jin-wen XUE, firstName=Jin-wen, middleName=null, lastName=XUE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.College of New Energy and Environment Institute, Jilin University, Changchun 130021, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314918442185089222, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314918441115541689, authorId=1314918442013122755, language=CN, stringName=薛锦雯, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.吉林大学新能源与环境学院，吉林 长春 130021, bio={"content":"

薛锦雯（2002-），女，新疆乌鲁木齐人，吉林大学硕士研究生，主要从事地下水污染源反演溯源方面的研究．1820841245@qq.com.

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薛锦雯（2002-），女，新疆乌鲁木齐人，吉林大学硕士研究生，主要从事地下水污染源反演溯源方面的研究．1820841245@qq.com.

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