叶润青, 付小林, 郭飞, 等. 2023. 三峡库区地质灾害监测分析与发展探讨[J]. 工程地质学报, 31(5): 1628-1636. doi: 10.13544/j.cnki.jeg.2021-0190.
    引用本文: 叶润青, 付小林, 郭飞, 等. 2023. 三峡库区地质灾害监测分析与发展探讨[J]. 工程地质学报, 31(5): 1628-1636. doi: 10.13544/j.cnki.jeg.2021-0190.
    Ye Runqing, Fu Xiaolin, Guo Fei, et al. 2023. Analysis and development of geo-hazards monitoring in Three Gorges Reservoir area[J]. Journal of Engineering Geology, 31(5): 1628-1636. doi: 10.13544/j.cnki.jeg.2021-0190.
    Citation: Ye Runqing, Fu Xiaolin, Guo Fei, et al. 2023. Analysis and development of geo-hazards monitoring in Three Gorges Reservoir area[J]. Journal of Engineering Geology, 31(5): 1628-1636. doi: 10.13544/j.cnki.jeg.2021-0190.

    三峡库区地质灾害监测分析与发展探讨

    ANALYSIS AND DEVELOPMENT OF GEO-HAZARDS MONITORING IN THREE GORGES RESERVOIR AREA

    • 摘要: 本文结合三峡库区地质灾害监测预警建设历程、地质灾害监测分析现状及面临的问题,从地质灾害监测分析概念和内涵、发展趋势等方面进行了探讨,获得了以下认识:(1)探讨了地质灾害监测分析的内涵,提出了地质灾害监测分析的定义,即围绕着监测目的、监测内容和监测方法,对地质灾害监测数据及相关成果资料开展综合性分析的工作,针对预警预报、防控决策、施工安全、工程效果等不同监测目的,总结了地质灾害监测分析的主要内容;(2)面对多源、异构、实时、海量的地质灾害监测及相关数据,发展地质灾害智能化监测分析系统,实现地质灾害监测数据、分析技术方法、应用服务以及监测分析工作流程化等方面有效集成,是破解监测分析困境和问题的关键。

       

      Abstract: This paper is based on the geological hazard monitoring, the early warning work, the monitoring data analysis and the information system construction examples of geological hazards in Three Gorges Reservoir area. It focuses on the concept and connotation of geological hazard monitoring data analysis, and the development trend of geological hazard monitoring data analysis. The main findings are as follows. (1)The definition of geological hazard monitoring data analysis is put forward. It is the comprehensive analysis of geological hazard monitoring data and related achievements and data according to the purposes, contents and methods of geological hazard monitoring. (2)In the face of multi-source, heterogeneous, real-time, massive geological hazard monitoring data, the development of intelligent geological hazard monitoring data analysis system is the key to solve the problem. The system can integrate the geological hazards monitoring big data, the various analytical techniques, methods and application service systems as well as the workflow of monitoring data analysis.

       

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