摘要
我国是世界上滑坡地质灾害最严重的国家,重大滑坡防治是国家防灾减灾重大而迫切的战略需求.自然界经历了漫长的演化过程,演化是滑坡的基本属性,是滑坡工程地质研究的重要基础.滑坡演化机理、演化特征的正确认识及其定量表征,是滑坡预测预报和防控研究的关键组成部分.在归纳自然界演化共有特征的基础上,系统阐述了滑坡动力来源、演化形式、孕育模式、演化阶段和演化状态等基本属性;提出多场关联监测是揭示滑坡演化特征的有效手段,介绍了近期取得重要技术突破——滑坡柔性大变形监测技术;提出了演化在重大滑坡预测预报和防治中的应用途径,指出了重大滑坡演化进一步研究的方向.
China is a particularly landslide-prone country in the world.The prevention and control of major landslides is an important and urgent strategic demand for national disaster prevention and mitigation.The nature has undergone a long evolutionary process,and evolution is the basic property of landslides as well as an important basis for landslide engineering geology research.The correct understanding of landslide evolution mechanism,evolution characteristics and their quantitative characterization are the key components of research on landslide prediction,forecasting,prevention and control.Based on the common characteristics of nature evolution,in this paper it systematically describes the basic properties of power sources,evolutionary forms,development patterns,evolutionary stages and evolutionary states of landslide.Meanwhile,in this paper it proposes that multi-field correlation monitoring is an effective means to reveal the evolutionary characteristics of landslides,introducing the recent technical breakthrough of landslide flexible deformation monitoring technology.Additionally,the application of evolution in the prediction and prevention of major landslides is proposed,and the further research on major landslide evolution is pointed out.
作者
唐辉明
李长冬
龚文平
邹宗兴
张永权
张抒
张俊荣
Tang Huiming;Li Changdong;Gong Wenping;Zou Zongxing;Zhang Yongquan;Zhang Shu;Zhang Junrong(Faculty of Engineering,China University of Geosciences,Wuhan 430074,China;Badong National Observation and Research Station of Geohazards,China University of Geosciences,Wuhan 430074,China)
出处
《地球科学》
EI
CAS
CSCD
北大核心
2022年第12期4596-4608,共13页
Earth Science
基金
国家自然科学基金重大项目(No.42090050).
关键词
滑坡
演化过程
基本属性
多场关联监测
预测与防治
工程地质
landslide
evolution process
fundamental attribute
multi-field correlation monitoring
forecasting and prevention
engineering geology