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2025 Vol. 12, No. 1
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LIAN Zhipeng, CHEN Yu, ZHANG Yu, LI Yining, LIU Lei, TAN Jianmin. Universal monitoring and early warning for landslide geological hazard: A case study of Xupu County in Hunan Province[J]. Geological Survey of China, 2025, 12(1): 140-149. doi: 10.19388/j.zgdzdc.2024.208
Citation: LIAN Zhipeng, CHEN Yu, ZHANG Yu, LI Yining, LIU Lei, TAN Jianmin. Universal monitoring and early warning for landslide geological hazard: A case study of Xupu County in Hunan Province[J]. Geological Survey of China, 2025, 12(1): 140-149. doi: 10.19388/j.zgdzdc.2024.208
shu

Universal monitoring and early warning for landslide geological hazard: A case study of Xupu County in Hunan Province

  • 1.

    Wuhan Center, China Geological Survey (Central South China Innovation Center for Geosciences), Wuhan Hubei 430205, China

  • 2.

    China Innovation Base for Geo-safety Risk Forecasting and Prevention Technology in Central South China, Geological Society of China, Wuhan Hubei 430205, China

Received Date:  10 May 2024
Revised Date:  29 October 2024
Publish Date:  25 February 2025
    Abstract

  • In order to meet the application and promotion needs of universal geological disaster monitoring and early warning, the authors took the construction of 40 universal monitoring and early warning demonstration points for landslide hazard in Xupu County of Hunan Province as an example to introduce the entire process of the construction of universal monitoring and early warning demonstration points and the operation of the monitoring and early warning system. Forty monitoring and early warning demonstration points were selected according to the development characteristics, disaster modes, and disaster-causing features of landslide hazard in the study area. The universal equipment such as rain gauges, crack gauges, GNSS displacement meters, moisture meters, and inclination accelerometers were used for the professional detection of key indicators of monitoring and early warning demonstration points, including deformation characteristics, influencing factors and slide precursor. For rainfall and deformation, Pearson model and monitoring data analysis method were adopted to propose rainfall criterion and deformation criterion in the study area. And the monitoring and early warning model was established. The monitoring data were aggregated to the system platform, and the criterion model automatically triggered warnings to send warning information. Wanli landslide was taken as a typical case to analyze the monitoring deployment plan and monitoring data. The rainfall characteristics, deformation features of the landslide, and their correlation were provided in real time, and the effectiveness and early warning capabilities of the universal monitoring equipment were preliminarily demonstrated. The research results could provide technical support for the promotion and application of universal monitoring and early warning work, and it could effectively guide relevant departments to carry out emergency response work at the same time.

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