Core Viewpoint - The 2026 Provincial Geological Work Conference emphasized the need for a new system for geological exploration units and the implementation of a new round of mineral exploration strategies to support geological disaster prevention and ecological construction in Guangdong [1][2]. Group 1: Key Focus Areas for 2026 - Focus on completing the "second half" of the reform, transforming the effectiveness of geological exploration unit reforms into development and governance momentum [2]. - Enhance the quality and efficiency of the geological economy, with larger units taking on significant responsibilities and smaller units accelerating their development [2]. - Improve energy resource security by implementing a new round of mineral exploration strategies and strengthening basic geological surveys [2]. - Support geological disaster prevention by establishing a technical support system for provincial, regional, and municipal collaboration, creating a "1-hour response circle" for geological disaster management [2]. - Contribute to the ecological construction of a "Green and Beautiful Guangdong" by strengthening integrated protection and systematic governance research centers for natural resources [2]. - Assist in the implementation of major projects like the "Hundred-Thousand-Million Project" and support high-quality development in key areas [2]. - Promote geological technological innovation by improving institutional frameworks, building innovation platforms, and implementing technology innovation projects [2]. - Ensure safety production and risk prevention by strictly enforcing responsibility systems to prevent major accidents [2].

昭通市镇雄县塘房镇全貌。 院士团队踏勘地灾点。 安装地灾监测设备。 核心阅读 1月19日19时32分，云南省昭通市巧家县发生5.1级地震，震源深度10公里，属浅源构造地震。此次地震发生在地质灾害高风险区——乌蒙山区，再次向 人们敲响了警钟。 近年来，乌蒙山区地质灾害频发，尤以冬春季为甚，灾害隐蔽性强、突发性高、破坏力大，已成为地质灾害防治工作的重点与难点区域。 如何破解乌蒙山区地质灾害的"冬春之困"？本报记者就此专访中国工程院院士、自然资源部地质灾害技术指导中心首席科学家殷跃平——过去两年，他 一直带领团队在乌蒙山区开展易灾机理与风险防控科研工作。殷跃平指出，当前正值乌蒙山区冬春季地质灾害高风险期，此次地震可能加剧山体破碎程度， 需高度警惕震后群发性中小型崩塌、滑坡等地质灾害。 探寻规律 乌蒙山区灾害为何难防 乌蒙山区横跨川、滇、黔三省交界地带，涵盖38个县（市、区），面积约11万平方千米，平均海拔2500米，是我国贫困山区和革命老区之一，也是地质 灾害防治的重点区域。近年来，云南镇雄、贵州水城、四川筠连等地均发生过特大地质灾害。 为什么乌蒙山区的地质灾害灾情重、防灾难度大？殷跃平分析，根本原因在于复杂的孕灾 ...

此外，贵州扎实推进地质灾害工程治理与避险搬迁工作。2025年，贵州省政府办公厅印发《关于促进地 质灾害避险搬迁安置工作的实施意见》，明确未来五年对3037处较高及以上地灾点的7.86万户、31.88万 人实施分级分批搬迁，从源头上降低地质灾害风险。今后，贵州将持续完善以风险防控为主线的综合防 治体系，推动地质灾害防治能力再上新台阶，为经济社会高质量发展提供坚实保障。 近日从贵州省自然资源厅获悉，"十四五"以来，贵州通过强化"人防+技防"综合防治体系，防灾减灾水 平持续提升，5年共成功避让地质灾害183起，避免6520人因灾伤亡，避免直接经济损失超过7.4亿元。 成功避让的地质灾害数占实际发生数的比例稳步提升，从2021年的57.12%提升至2025年的86.79%。 贵州山地丘陵占比高，地质灾害易发多发，全省地质灾害高、中易发区面积达15.28万平方公里，占全 省总面积的86.8%，防灾形势严峻。面对复杂的地质条件和灾害风险，贵州持续完善"人防+技防"防控 体系。在"技防"方面，贵州厅依托卫星遥感综合识别、合成孔径雷达干涉测量等先进技术，累计发现新 增形变区5809处，确认地质灾害风险点725处，并及时向交通 ...

"十四五"期间，四川省先后发生4次6级以上地震，极端天气频发，加上人类工程活动广度与强度持续增 加，地灾防治形势复杂严峻。为此，四川省先后出台《四川省地质灾害防治条例》《关于将地质灾害风 险调查评价成果纳入国土空间规划的通知》等制度，按照"自上而下、逐级精细"模式，将地灾风险调查 评价成果纳入省市县乡四级国土空间规划管控，明确风险区分级管控规则，从源头防范地灾风险，严格 控制工程建设新增风险。推动地灾全域综合整治三年行动（2021—2023年）和避险搬迁总体规划（2023 —2027年），创新使用政府一般债券、增发国债、贴息贷款支持避险搬迁、落实受益主体筹资责任等多 元筹资治理模式，建立搬迁激励机制并强化法治保障。 同时，四川省聚焦"主动防、源头防、科学防"，深入推进地灾风险调查和点面双控，全面完成省市县3 级地灾风险调查评价，科学划定全省地灾易发程度和风险分区；逐年完成全省地灾全覆盖隐患遥感识别 和10轮次以上动态隐患排查，及时将1.29万处新增地灾点纳入管控。持续强化监测预警和"喊醒叫应"机 制实施，完成4968处地灾综合治理和5.02万户受地灾威胁群众避险搬迁安置，切实保障了群众生命财产 安全。 近日， ...

Group 1 - The Anhui Province's natural resources system has made significant progress in land protection, farmland preservation, and efficient utilization, contributing to high-quality economic and social development [1] - In 2025, the province approved 326,500 acres of various construction land, a year-on-year increase of 31.0%, supporting major projects with a total investment of 220 billion yuan [1] - The total supply of state-owned construction land reached 332,600 acres, with contract prices amounting to 121.949 billion yuan, ranking 8th nationally, 3rd in the Yangtze River Delta, and 2nd in Central China [1] Group 2 - By the end of 2025, Anhui Province's arable land area reached 84,349,700 acres, exceeding planning targets and achieving a balance of arable land for 26 consecutive years [2] - The province has implemented 15 provincial mountain-water projects with a total investment of 1.167 billion yuan, restoring 3,750 abandoned mines over an area of 105,200 acres [2] - In 2025, Anhui Province resolved historical "registration difficulties" for 157,000 housing units, with cross-provincial natural resource registration recognized as a landmark achievement in the Yangtze River Delta integration [2]

我省目标到2030年，将进一步升级"隐患点+风险区"双控机制，以健全地质灾害风险防控为主线的综合 防治体系，提升地质灾害防治能力，最大限度防范和化解地质灾害风险，推动地质灾害防治工作再上新 台阶。 转自：贵州日报 本报讯（记者 金秋时）日前，记者从贵州省地质灾害应急技术指导中心获悉，"十四五"以来，贵州强 化"人防+技防"防控体系，防灾减灾水平持续提升，共成功避让地质灾害183起，避免人员伤亡6520人， 避免直接经济损失超7.4亿元。5年成功避让的地质灾害数占实际发生数的比例稳步提升，从2021年的 57.12%增至2025年的86.79%，5年平均值较"十三五"的50.9%提高至75.31%，地灾成功避让率提高了24 个百分点。 ...

"幸亏提前避让了，不然后果不堪设想……"9月4日，说起此前发生的地质灾害，凉山州木里县项脚 乡项脚村监测员龚取生依然后怕，尽管离那次泥石流灾害已过去近两个月。幸运的是，这起灾害被成功 避让。 今年入汛以来，强降雨引发凉山州多起地质灾害，通过监测、预警、撤离等，成功避让了地质灾害 18起，提前撤离转移群众625户2510人，避免可能因灾伤亡83户374人，避免经济损失2324.32万元。 及时发布预警 处置措施得当 5—9月是地质灾害的主要高发期，凉山州地质灾害隐患点多面广，在极端或持续强降雨作用下，成 灾风险加剧，汛期地灾防治形势十分严峻复杂。 凉山州自然资源局监测预警科相关负责人介绍，根据这一等级，凉山州要求相关县市，逐项落实地 质灾害防范责任和措施，关键时刻抓好主动避让、提前避让。 "收到县上的电话通知才20多分钟，刚刚还是晴空万里的天空，突然就乌云密布。"木里县项脚乡政 府一位在7月6日值班的干部回忆。 "天气突变，必须提前发出警报。"项脚乡政府、项脚村干部、监测员和村里的民兵立即挨家挨户通 知群众转移。19时30分，受威胁群众按照曾经演练过的既定路线，全部撤离转移至乡政府旁的集中避险 点临时安置。 刚 ...

央视网消息：自然资源部12月8日召开视频会，启动乌蒙山区冬春季地质灾害隐患排查防范专项行 动。会议强调，要树立全年防灾理念，坚持用汛期防灾责任、意识和行动对待冬春季防灾工作，进一步 加强组织领导、发挥条块合力、压实防灾责任，严密防控重大地质灾害风险。 会议就抓实抓细乌蒙山区地质灾害防治工作提出具体要求。一是强化顶层设计，建立地质灾害更新 调查和排查巡查、专业监测网设备更新和运维管理制度，强化国土空间规划刚性约束，从源头上降低风 险。二是深化调查评价，强化综合遥感技术全流程应用，开展"灾害点"动态更新、完善"风险区"评价划 定，构建"一张图"动态管理平台，精准摸清风险底数。三是织密立体智能监测网络，攻关智能预警核心 技术，提高短临预报精准度。四是推进综合治理，一体推进地质灾害防治与国土空间生态修复。五是加 强科学研究，研发适用于深部、高位、隐蔽隐患的高精度、低成本探测识别技术与装备，构建新一代智 能预警模型。六是实施面向基层的培训演练宣传行动。七是强化协同联动，统筹各方力量共同做好防范 工作。 会议强调，乌蒙山区地质灾害防治是一项长期复杂的系统工程。各级党委、政府要统筹行政管理力 量、用好科技防灾利器，以工作的 ...

Core Points - The Southwest Five Provinces (Regions, Cities) Geological Disaster Prevention and Mitigation Experience Exchange Conference was held in Guiyang, Guizhou Province, focusing on extreme weather disaster factors and strengthening geological disaster control [1] - The region faces severe challenges in geological disaster prevention due to complex geological structures and frequent extreme weather events, with geological disaster points accounting for approximately one-third of the national total [1] - The conference emphasized the importance of practical experience, problem analysis, and collaborative strategies to enhance disaster prevention, reduction, and response capabilities [1] Summary by Sections Experience Exchange - The conference included various segments such as experience sharing, academic exchanges, thematic discussions, and on-site communication aimed at improving geological disaster prevention capabilities in the Southwest region [1] Risk Investigation - The meeting officially launched a winter-spring geological disaster investigation in the Wumeng Mountain area, covering 47 counties across 11 cities in Guizhou, Yunnan, and Sichuan provinces [2] - Relevant departments will utilize "air-space-ground" technology to enhance risk identification, install monitoring equipment, and improve public disaster reporting [2] Database and Mapping - The investigation will update the provincial geological disaster database based on county-level surveys and strengthen the interconnectivity and dynamic updates of national and provincial databases [2] - A comprehensive map for geological disaster prevention in key areas of the Wumeng Mountain region will be created [2] Expert Contributions - A specialized lecture was delivered by an academician from the Chinese Academy of Engineering, focusing on current geological disaster prevention and mitigation issues and recommendations [2] - Representatives from various natural resource departments shared experiences related to risk relocation, innovative work mechanisms, watershed management, freeze-thaw prevention, and intelligent disaster prevention [2]

Core Viewpoint - The research team led by Professor Huang Hui from Shenzhen University has developed a new generation of intelligent monitoring system for geological disasters, which integrates computer vision, deep learning, and cloud-edge-end collaborative technology, transforming traditional point-based monitoring into comprehensive and intelligent monitoring [1][3]. Group 1: Traditional Monitoring Limitations - Traditional geological disaster monitoring methods rely heavily on embedded sensors and manual inspections, which have significant limitations [3]. - Sensors can only monitor preset points and cannot cover entire risk areas, while manual inspections are constrained by weather and terrain, making many dangerous areas inaccessible [3]. Group 2: Technological Innovations - The team proposed a core graphic information "cloud-edge-end" collaborative processing technology, achieving a transition from point monitoring to comprehensive prevention [3]. - The system utilizes a combination of computer graphics, computer vision, and deep learning, with breakthroughs in three key technical areas: effective capture of abnormal movements in monitored areas, over 85% accuracy in identifying rockfall events, and high-precision measurement of target displacement [3]. Group 3: Application and Impact - The system has demonstrated its application value in various scenarios, including 24-hour monitoring of tunnel entrances and high slope sections on mountain roads, rockfall disaster warnings for railways, stability monitoring in open-pit mining, and ensuring the safety of slopes in water conservancy projects [5]. - It has been implemented in Shenzhen's Jiangangshan Park, providing continuous monitoring and alarm for dangerous rocks and rockfalls [5]. - The monitoring device is equipped with a large-capacity solar power system for uninterrupted operation, showcasing strong environmental adaptability and energy self-sufficiency [5]. - The system captures minute changes in rock formations using high-resolution cameras and analyzes data in real-time with built-in intelligent algorithms, triggering multi-level alerts and uploading data to a cloud management platform via 4G/5G networks [5]. - This technology marks a shift from passive waiting to proactive prediction in geological disaster monitoring and early warning, entering a new phase of "full-domain perception, intelligent deduction, and precise warning" [5].