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作 者:左伟 Zuo Wei(Geological Environment Monitoring Station of Wulong District,Chongqing,China)
机构地区:[1]重庆市武隆区地质环境监测站,重庆
出 处:《科学技术创新》2025年第5期80-83,共4页Scientific and Technological Innovation
摘 要:为了提升地质灾害预警能力,保障人民生命财产安全,本文以武隆区长坝镇长田坎滑坡成功预警避险为例,深入介绍了该区域地质概况,分析了地质灾害的基本特征与潜在险情。通过基于机器学习的空间样本数据采集与清洗技术,构建了典型滑坡体的临界阈值模型,并实现了滑坡预警与等级划分。同时,探讨了气象风险预警与风险管控情况。研究结果表明,综合运用现代科技手段能有效提升地质灾害预警的准确性和时效性,为类似地区的地质灾害防治提供了宝贵经验和参考。In order to enhance the ability of geological hazard warning and ensure the safety of people's lives and property,this article takes the successful warning and avoidance of the Changba Changtiankan landslide in Wulong District as an example,deeply introduces the geological overview of the region,and analyzes the basic characteristics and potential hazards of geological hazards.A critical threshold model for typical landslide masses was constructed using machine learning based spatial sample data collection and cleaning techniques,and landslide warning and grading were achieved.At the same time,the situation of meteorological risk warning and risk control was discussed.The research results indicate that the comprehensive use of modern technological means can effectively improve the accuracy and timeliness of geological hazard warning,providing valuable experience and reference for geological hazard prevention and control in similar regions.
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