Article(id=1273953306738189056, tenantId=1146029695717560320, journalId=1272209045839646724, issueId=1273953231114887613, articleNumber=null, orderNo=null, doi=10.20174/j.JUSE.2026.02.25, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1735228800000, receivedDateStr=2024-12-27, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1781663737234, onlineDateStr=2026-06-17, pubDate=1776614400000, pubDateStr=2026-04-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1781663737234, onlineIssueDateStr=2026-06-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1781663737234, creator=13701087609, updateTime=1781663737234, updator=13701087609, issue=Issue{id=1273953231114887613, tenantId=1146029695717560320, journalId=1272209045839646724, year='2026', volume='22', issue='2', pageStart='377', pageEnd='752', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1781663719203, creator=13701087609, updateTime=1781663760928, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1273953406235467954, tenantId=1146029695717560320, journalId=1272209045839646724, issueId=1273953231114887613, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1273953406235467955, tenantId=1146029695717560320, journalId=1272209045839646724, issueId=1273953231114887613, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=631, endPage=645, ext={EN=ArticleExt(id=1273953307665130242, articleId=1273953306738189056, tenantId=1146029695717560320, journalId=1272209045839646724, language=EN, title=Research Status of Transparent Technology for Geological Information of Ultra-Deep Buried Tunnels, columnId=null, journalTitle=Chinese Journal of Underground Space and Engineering, columnName=null, runingTitle=null, highlight=null, articleAbstract=

With the rapid development of infrastructure such as railways, highways, and water conservancy and hydropower projects in the western region of China, a number of extremely complex geological conditions and highly challenging ultra-deep buried tunnels have emerged. These developments place higher demands on the collection, analysis, and application of tunnel geological information. Geological information transparency technology plays a crucial role in ensuring safety, controlling costs, and optimizing construction progress, serving as key technical support for the smooth execution of ultra-deep buried tunnel projects. This paper systematically reviews the current development status of geological information detection technologies, covering remote sensing survey technology, geophysical exploration technology, and directional drilling technology in the pre-construction phase, as well as advanced geological forecasting technology during construction. The application scope and development directions of various technologies are analyzed. The paper also reviews the research status of multi-source geological information fusion technology and 3D geological modeling technology, detailing their progress and challenges in predicting geological conditions, model building, and applications. Finally, this paper looks ahead to the overall development of geological information transparency technology for tunnels: First, establishing a five-dimensional integrated detection system encompassing "space-air-ground-borehole-tunnel" to improve detection accuracy; second, developing intelligent geological monitoring technologies and equipment; and third, based on multi-source data fusion, constructing 3D geological models and applying virtual reality technology to achieve dynamic geological information visualization, thus enhancing the safety and efficiency of tunnel construction.

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随着我国西部地区铁路、公路和水利水电等基础设施的快速发展，涌现了一批地质极其复杂、建设难度极大的超深埋隧道，对隧道地质信息采集、分析及应用提出了更高的要求。隧道地质信息透明化技术能够在安全保障、成本控制和施工进度优化等方面发挥至关重要的作用，是确保超深埋隧道工程顺利进行的关键技术支撑。本文系统地梳理了地质信息探测技术的发展现状，涵盖了施工前期的遥感勘察技术、大地物探技术与定向钻探技术，以及施工期的超前地质预报技术，分析了各类技术的应用范围及其发展方向。综述了多源地质信息融合技术和三维地质建模技术的研究现状，阐述了其在预测地质条件和模型建立及应用方面的进展以及存在的问题。最后，对隧道地质信息透明化技术的整体发展进行了展望：①建立“天-空-地-孔-隧”五维综合探测体系，提高探测精度；②研发智能化地质监测技术和智能装备；③基于多源数据融合，构建三维地质模型并应用虚拟现实技术，实现地质信息动态展示，提升隧道建设的安全性与效率。

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张世殊（1970—），男，重庆人，博士，正高级工程师，主要从事水电工程勘察及工程地质信息化一体化工作。E-mail: 1992070@chidi.com.cn

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张世殊（1970—），男，重庆人，博士，正高级工程师，主要从事水电工程勘察及工程地质信息化一体化工作。E-mail: 1992070@chidi.com.cn

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