地质科技通报2025，Vol.44Issue(4)：16-22,7.DOI:10.19509/j.cnki.dzkq.tb20250004
专栏评论:高新技术赋能地震与地质灾害防治研究进展
Column Review:Advancements in earthquake and geological disaster mitigation empowered by advanced technologies
摘要
Abstract
[Significance]With continuous advances in high technologies such as remote sensing,the Internet of Things,artificial intelligence,big data,cloud computing,and more recently,large language models(LLMs),the field of earthquake and geological disaster research is shifting from traditional paradigms relying on single data sources and empirical models toward integrated systems driven by multi-source data fusion and intelligent decision support.[Progress]This article,based on the themed column"Applications of Advanced Technologies in Earth-quake and Geological Hazard Research,"reviews recent progress across five key directions:physical simulation modeling,deep learning-based recognition,remote sensing integration,intelligent early warning techniques,and knowledge graph construction.These studies collectively demonstrate how cutting-edge technologies are being applied to hazard monitoring,mechanism analysis,and emergency response.[Conclusions and Prospects]On this basis,the article further identifies current technical bottlenecks,including challenges in multimodal data integration,disaster chain modeling,model generalization,and scenario adaptability,and explores the potential role of LLMs in this field,particularly in knowledge extraction,causal inference,and multi-scenario risk assessment.关键词
地质灾害/高新技术/遥感与InSAR/深度学习与知识图谱/灾害模拟与智能预警/文献计量学Key words
geological disaster/advanced technology/remote sensing and InSAR/deep learning and knowledge graph/disaster simulation and early warning/bibliometrics分类
天文与地球科学引用本文复制引用
许冲,高明星,薛智文,黄雨,吴礼舟,邬忠虎..专栏评论:高新技术赋能地震与地质灾害防治研究进展[J].地质科技通报,2025,44(4):16-22,7.基金项目
国家重点研发计划项目"降雨型群发滑坡时空多尺度风险区划与韧性评价技术"(2024YFC3012604) （2024YFC3012604）
重庆市水利局项目"三峡库区消落区岩体劣化灾害监测预警技术方法研究"(CQS24C00836) （CQS24C00836）
