Article(id=1322559866976186607, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559853093048851, 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=1746115200000, receivedDateStr=2025-05-02, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793252444261, onlineDateStr=2026-10-29, pubDate=1771948800000, pubDateStr=2026-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252444261, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252444261, creator=13701087609, updateTime=1793252444261, updator=13701087609, issue=Issue{id=1322559853093048851, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='2', pageStart='1', pageEnd='326', issueExtLink='null', onlineDate='null', pubDate='1771948800000', pubDateStr='2026-02-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252440951, creator='13701087609', updateTime=1793252699964, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322560939526828556, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559853093048851, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322560939526828557, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1322559853093048851, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=147, endPage=157, ext={EN=ArticleExt(id=1322559867122987248, articleId=1322559866976186607, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Evaluation and Dynamic Prevention and Control of Roof Water Inrush in Deep Roadway Based on PCA-Entropy Method Model, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To accurately evaluate the roof water inrush risk of deep roadways and make up for the low credibility of traditional evaluation methods caused by index redundancy and subjective weighting, a comprehensive calculation method coupling with principal component analysis (PCA) and entropy method was proposed. PCA was used to reduce the dimension of multi-source indexes to eliminate information overlap. After key principal components were extracted, the weight of each principal component was quantified. The entropy method was introduced to achieve the objective calculation of comprehensive evaluation indexes. Combined with the sample input datasets of each index, the evaluation model of coal seam roof water inrush was constructed with the logical framework of "principal component extraction-comprehensive index calculation-model comparison and verification-dynamic prevention and control". The results show that the fault water conductivity coefficient is the main controlling factor affecting the roof water inrush of the working face, and the permeability coefficient is the second most important. Based on the high fitting characteristics of the comprehensive index calculated by the PCA-entropy method and the on-site water seepage data, five categories of water-rich risk levels have been divided. It is determined that the area 518-678 m away from the open-off cut of the 1315 working face is in the extremely high-risk area, and the area 0-425 m away is in the high-risk area. According to the characteristics of roof water inrush in different areas, the technical path of "partition-based prevention and control-three-dimensional interception-drainage optimization" was proposed. The research results improve the classification and identification system of roof water inrush risk levels, and provide a new method for the safe exploitation of deep resources.

, authors=Ming GENG¹, Huan WANG², Qingyun XU³, authorsList=Ming GENG, Huan WANG, Qingyun XU, authorCompany=null, correspAuthors=Huan WANG, 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=1322559867479503089, articleId=1322559866976186607, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于PCA-熵值法模型的深部巷道顶板涌水评价及动态防控, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

为精准评价深部巷道顶板涌水风险，弥补传统评价方法因指标冗余和主观赋权导致的可信度低的缺陷，提出一种耦合主成分分析（PCA）与熵值法的综合计算方法，利用PCA对多源指标降维以消除信息重叠，提取关键主成分后量化各主成分权重，引入熵值法实现综合评价指数的客观化计算，结合各项指标的样本输入数据集，以“主成分提取－综合指数计算－模型对比验证－动态防控”为逻辑框架，构建煤层顶板涌水评价模型。结果表明：断层导水系数是影响工作面顶板涌水的主控因素，渗透系数次之。基于PCA-熵值法计算的综合指数与现场淋水数据的高拟合特性，划分5种富水性危险等级。判定距1315工作面切眼518~678 m区域处于极高危险性区域，0~425 m处于较高危险性区域。针对不同区域顶板涌水特征，提出“分区防控－立体堵截－排水优化”的技术路径。研究结果完善了顶板涌水危险的划分与判别体系，为深部资源安全开采提供了新方法。

, authors=耿铭¹, 王欢², 徐青云³, authorsList=耿铭, 王欢, 徐青云, authorCompany=null, correspAuthors=王欢, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Ijp4HwvLLXDOzEAZGqoZfg==, magXml=CPuUPO7p4TupvyPkbfWfBw==, pdfUrl=null, pdf=mitH8765BeHitYulkPV4cQ==, pdfFileSize=3155406, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=gwoIgMPFHBuy7VRH8DgnRQ==, mapNumber=null, fund=null)}, authors=[Author(id=1322559867966042364, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559866976186607, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=gengming20092009@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1322559868142203134, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559866976186607, authorId=1322559867966042364, language=EN, stringName=Ming GENG, firstName=Ming, middleName=null, lastName=GENG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.Datong Vocational and Technical College of Coal, Datong, Shanxi 037024, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1322559868221894911, tenantId=1146029695717560320, journalId=1225396423026438145, articleId=1322559866976186607, authorId=1322559867966042364, language=CN, stringName=耿铭, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．大同煤炭职业技术学院，山西 大同市　037024, bio={"content":"

耿铭（1981—），男，辽宁锦州人，硕士，副教授，主要从事矿山安全方面的研究。E-mail:gengming20092009@163.com

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耿铭（1981—），男，辽宁锦州人，硕士，副教授，主要从事矿山安全方面的研究。E-mail:gengming20092009@163.com

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