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Volume 43 Issue 6
Dec.  2024
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Article Navigation >  CARSOLOGICA SINICA  > 2024  >  43(6): 1362-1375
YANG Yanfang, JU Hejian, CHENG Yang, WANG Yong, YAN Shuhao, WANG Shanshan, LI Qin. Remote sensing interpretation and application of geological environment conditions in early identification of potential geo-hazards: A case study of Huaping county[J]. CARSOLOGICA SINICA, 2024, 43(6): 1362-1375. doi: 10.11932/karst20240613
Citation: YANG Yanfang, JU Hejian, CHENG Yang, WANG Yong, YAN Shuhao, WANG Shanshan, LI Qin. Remote sensing interpretation and application of geological environment conditions in early identification of potential geo-hazards: A case study of Huaping county[J]. CARSOLOGICA SINICA, 2024, 43(6): 1362-1375. doi: 10.11932/karst20240613
shu

Remote sensing interpretation and application of geological environment conditions in early identification of potential geo-hazards: A case study of Huaping county

doi: 10.11932/karst20240613
  • 1.

    Institute of Karst Geology, CAGS/ Key Laboratory of Karst Dynamics, MNR & GZAR/ International Research Center on Karst under the Auspices of UNESCO, Guilin, Guangxi 541004, China

  • 2.

    Pingguo Guangxi, Karst Ecosystem, National Observation and Research Station, Pingguo, Guangxi 531406, China

  • 3.

    Nanning College of Technology, Guilin, Guangxi 541004, China

  • 4.

    China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China

  • 5.

    Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Kunming, Yunnan 650216, China

  • 6.

    Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, MNR, Kunming, Yunnan 650216, China

  • 7.

    Yunnan Institute of Geo-Environment Monitoring, Kunming, Yunnan 650216, China

  • Received Date: 2024-01-01
    Available Online: 2025-03-21
    Abstract
  • Huaping county is located in the mountains bordering the Yunnan–Guizhou Plateau and the Qinghai–Xizang Plateau, where geo-hazards occur frequently. In order to understand the background of disaster generation and the laws of their occurrence, as well as to enhance the accuracy of early identification of potential geo-hazards and reduce the likelihood of disasters, this study has developed a county-level system for remote sensing interpretation of the geological environment. This system is designed for the early identification of potential geo-hazards, based on practical work and existing norms and standards. Additionally, this study has established a set of full-element interpretation signs for geological environment conditions in Huaping county by utilizing Beijing-2 High-Resolution Optical Remote Sensing Images, thereby completing the remote sensing interpretation of the geological environment in Huaping county. Based on the interpretation results of the geological environment in this county, this study examines the potential landslide hazards in Bade village, Huaping county, as a case study. It demonstrates how remote sensing interpretation of the geological environment facilitates the early identification and risk assessment of potential geo-hazards occurring in a single geographic unit. The overall findings of this study are as follows:(1) The remote sensing interpretation system of county-level geological conditions, based on potential geo-hazards, can be summarized and classified into seven categories: topography and geomorphology, geological structure, stratum lithology, hydrogeology, land use, human activities, and adverse geological phenomena.(2) With the use of seven categories of geological environment elements, the process of interpreting and assessing potential disasters in a single geographic unit can be summarized as the following steps. First, the characteristics of surface deformation, and indicators of topography and geomorphology were analyzed to determine the activity and the topographic associated with the occurrence of potential geo-hazards. Second, based on the four kinds of indicators of geological structure, stratum lithology, hydrogeological conditions, and adverse geological phenomena, hidden dangers in the disaster environment were assessed. Third, with the use of two indicators of human activities and land use, the type of the hidden bearing body and the associated hazards were evaluated. Finally, the risk level of the hidden danger was evaluated based on the activity and the potential harm involved. It is important to note that this assessment was conducted indoors, and the final risk level must be verified in the field.(3) Conducting a full-element optical remote sensing interpretation of geological environment can rapidly and accurately assess the disaster-bearing conditions of specific geo-hazards in a single geographical unit such as the potential landslides in Badu village, Huaping county. This approach can significantly enhance the accuracy of early identification of potential geo-hazards and holds significant importance for identifying such geo-hazards in the mountainous areas of Southwest China. It is recommended to implement a thorough remote sensing interpretation.

     

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