Article(id=1256260905109697320, tenantId=1146029695717560320, journalId=1256213323050663944, issueId=1256260902106612267, articleNumber=null, orderNo=null, doi=10.12134/j.dzykt.2025.02.014, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1777445539976, onlineDateStr=2026-04-29, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1777445539976, onlineIssueDateStr=2026-04-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1777445539976, creator=13041195026, updateTime=1781589800910, updator=13701087609, issue=Issue{id=1256260902106612267, tenantId=1146029695717560320, journalId=1256213323050663944, year='2025', volume='61', issue='2', pageStart='221', pageEnd='440', issueExtLink='null', onlineDate='null', pubDate='1739116800000', pubDateStr='2025-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1777445539260, creator='13041195026', updateTime=1777445727896, updator='13041195026', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1256261693378801706, tenantId=1146029695717560320, journalId=1256213323050663944, issueId=1256260902106612267, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1256261693378801707, tenantId=1146029695717560320, journalId=1256213323050663944, issueId=1256260902106612267, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=385, endPage=394, ext={EN=ArticleExt(id=1256260908934902590, articleId=1256260905109697320, tenantId=1146029695717560320, journalId=1256213323050663944, language=EN, title=Comprehensive exploration technology on shallow buried coal seam goaf in northern Shaanxi under complex conditions, columnId=1256260904673469171, journalTitle=Geology and Exploration, columnName=地球物理, runingTitle=null, highlight=null, articleAbstract=During a special historical period, shallow coal seams in northern Shaanxi suffered from a large number of illegal open-pit mining and overexploitation due to spontaneous combustion control, resulting in a wide area of goaf, strong concealment, and difficult exploration, which has seriously affected the safe mining of shallow coal seams. To solve the above-mentioned problems, a comprehensive exploration technology combining historical satellite images, oblique photography, and geophysics was applied to the goaf exploration in a Shenfu mine of northern Shaanxi under complex conditions. The historical satellite image data reveals obvious mining traces in the southwest side of P2 waste dump and other areas. By comparing oblique photography, the approximate distribution range of the mining site and hidden goaf can be further divided. On this basis, a reasonable arrangement of geophysical survey lines was made, and the results showed that the electrical layer corresponding to the coal-bearing strata under the P2 waste dump was significantly lacking in high resistance characteristics in local areas. Among them, the resistivity of coal-bearing strata between the high-density resistivity method ERT-3 measuring line (0~225 m) decreased from 120 Ω· m to below 60 Ω· m, and the resistivity of coal-bearing strata between the transient electromagnetic method TEM-2 measuring line (0~80 m) decreased from 160 Ω· m to around 60 Ω· m. Finally, the distribution boundaries of concealed goaf were determined by combining historical satellite imagery, drone oblique photography, high-density resistivity method, and transient electromagnetic method results. The advantages of the above multiple methods complement each other, which can achieve high-precision, high-efficiency, and low-cost exploration of goaf under complex conditions., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=20250214.pdf, 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=1256260907060048688, articleId=1256260905109697320, tenantId=1146029695717560320, journalId=1256213323050663944, language=CN, title=复杂条件下陕北浅埋煤层采空区的综合探查技术研究, columnId=1256260904342119152, journalTitle=地质与勘探, columnName=地球物理, runingTitle=null, highlight=null, articleAbstract=陕北浅埋煤层在特殊历史时期因煤层自燃治理遭受了大量露天式偷挖滥采，由此形成 的采空区面积广、隐蔽性强、勘探难度大，严重影响浅埋煤层的安全开采。为解决上述采空区探查难 题，以陕北神府某矿区为研究区，将结合历史卫星影像、倾斜摄影、地球物理的综合探测技术应用于 该区域复杂条件下采空区探测中。历史卫星影像资料揭示了 P2排土场西南侧等区域存在明显开采痕 迹，通过比对倾斜摄影可进一步划分采场及隐蔽采空区的大致分布范围。在此基础上合理布置物探测 线，结果显示，P2排土场下含煤地层对应的电性层在局部区域高阻特征明显缺失。其中，高密度电阻 率法ERT-3测线0~225 m之间含煤地层电阻率由120 Ω·m下降至60 Ω·m以下，瞬变电磁法TEM-2测 线0~80 m含煤地层电阻率由160 Ω·m下降至60 Ω·m左右。最终，结合历史卫星影像、无人机倾斜摄 影、高密度电阻率法与瞬变电磁法结果划分了隐伏采空区的分布边界。以上多种方法优势互补，实现 了复杂条件下采空区的高精度、高效率、低成本勘探。, authors=郭 恒¹, authorsList=郭恒, authorCompany=1 中煤科工西安研究院（集团）有限公司，陕西西安 710077, correspAuthors=null, authorNote=郭 恒（1978年-），男，副研究员，2014年毕业于西安科技大学地球探测与信息技术专业，硕士研究生学历，主要从事煤矿领 域地球物理勘探方面的研究工作。E-mail：ghjwpgh@163.com。, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=EwhmFBP4IiyxS8Xp5OcEpg==, pdfFileSize=22646795, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, 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