The bedding rock landslide identification in the head area of the Three Gorges Reservoir combined with disaster pregnant mechanism and comprehensive remote sensing method

doi:10.11947/j.AGCS.2022.20220306

Abstract

Abstract: The identification of hidden dangers is an important technical work to realize the transformation of potential geological hazards from post-disaster relief to pre-disaster prevention.This paper proposes a method for identifying the bedding rock landslide based on disaster pregnant mechanism and comprehensive remote sensing detection technology. Firstly, data analysis, remote sensing survey and field survey is used for identifying disaster-pregnant environment and establishing a disaster-pregnant index system; at the same time, typical hazard mode and the identification mark of integrated remote sensing are established. Then, key target areas and suspected hidden dangers of geological disasters are delineated. And geological hazard identification is realized relied on ground detailed assessments and professional identification. By using this set of technical methods, a total of 8 potential catastrophic geohazards have been identified in the work area, of which 5 are potential rockslides with hazard-pregnancy modes but not yet apparently deformed. The results show that this method can make up for the disadvantages of low accuracy or even failure mainly relying on remote sensing change detection. It is especially suitable for hidden and sudden geological hazard identification in areas with steep hills and dense vegetation.

Key words: head area of the TGR, consequent bedding rockslide, potential hazard detection, disaster pregnant mechanism, comprehensive remote sensing

CLC Number:

P237

HUANG Haifeng, XUE Ronghua, ZHAO Beibei, YI Wu, DENG Yonghuang, DONG Zhihong, LIU Qing, YI Qinglin, ZHANG Guodong. The bedding rock landslide identification in the head area of the Three Gorges Reservoir combined with disaster pregnant mechanism and comprehensive remote sensing method[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(10): 2056-2068.

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