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Scientific observation and early warning of extremely large reservoir landslides from perspective of emergency management
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Xiao YE1, 2, Honghu ZHU2, 3, **, Kun TIAN4, Houzhi LI5, Wei ZHANG2, Gang CHENG6
China Safety Science Journal | 2025, 35(3) : 221 - 231
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China Safety Science Journal | 2025, 35(3): 221-231
• Technology and engineering of disaster prevention and mitigation •
Scientific observation and early warning of extremely large reservoir landslides from perspective of emergency management
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Xiao YE1, 2, Honghu ZHU2, 3, **, Kun TIAN4, Houzhi LI5, Wei ZHANG2, Gang CHENG6
Affiliations
  • 1 School of Emergency Management，Nanjing University of Information Science & Technology，Nanjing Jiangsu 210044，China
  • 2 School of Earth Sciences and Engineering，Nanjing University，Nanjing Jiangsu 210023，China
  • 3 Jiangsu Engineering Research Center of Earth Sensing and Disaster Control，Nanjing Jiangsu 210023，China
  • 4 Three Gorges Geotechnical Consultants Co.，Ltd.，Wuhan Hubei 430019，China
  • 5 Institute of Exploration Technology，Chinese Academy of Geological Science，Chengdu Sichuan 611734，China
  • 6 School of Computer Science，North China Institute of Science and Technology，Langfang Hebei 065201，China
Published: 2025-03-28 doi: 10.16265/j.cnki.issn1003-3033.2025.03.2006
Outline
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To enhance the ability to cope with reservoir landslide hazard risks under extreme climate，a framework for multi-dimensional scientific observation and hydrometeorological early warning was constructed using multi-source monitoring data and machine learning algorithms. The spatiotemporal pattern and main controlling factors of landslide deformation were identified by analyzing the multi-annual observations of the two landslide cases，involving Sentinel-1，global navigation satellite system (GNSS) surface displacement and fiber optic (FO) strain. Leveraging the boosting decision tree (BDT) algorithm，a hydrometeorological early warning method based on slip zone real-time strain (RTS) was proposed，and the generalized framework of monitoring，early warning and emergency management strategies for reservoir landslides was systematically discussed. The results indicate that landslides with different deformation mechanisms show different spatiotemporal deformation characteristics，and landslide activities are closely related to localized anti-sliding treatment measures. Landslide kinematics are characterized by subzone-independent displacements and their drivers，which are highly correlated with hydrometeorological extremes. The RTS-based early warning model provides specific hydrometeorological thresholds，emphasizing the emergency response-oriented landslide monitoring and early warning concept.

emergency management  /  reservoir landslide  /  scientific observation  /  early warning  /  extreme climate
Xiao YE, Honghu ZHU, Kun TIAN, Houzhi LI, Wei ZHANG, Gang CHENG. Scientific observation and early warning of extremely large reservoir landslides from perspective of emergency management[J]. China Safety Science Journal, 2025 , 35 (3) : 221 -231 . DOI: 10.16265/j.cnki.issn1003-3033.2025.03.2006
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Year 2025 volume 35 Issue 3
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2025.03.2006
  • Receive Date：2024-10-15
  • Online Date：2025-07-05
  • Published：2025-03-28
Article Data
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History
  • Received：2024-10-15
  • Revised：2024-12-18
Funding
Affiliations
    1 School of Emergency Management，Nanjing University of Information Science & Technology，Nanjing Jiangsu 210044，China
    2 School of Earth Sciences and Engineering，Nanjing University，Nanjing Jiangsu 210023，China
    3 Jiangsu Engineering Research Center of Earth Sensing and Disaster Control，Nanjing Jiangsu 210023，China
    4 Three Gorges Geotechnical Consultants Co.，Ltd.，Wuhan Hubei 430019，China
    5 Institute of Exploration Technology，Chinese Academy of Geological Science，Chengdu Sichuan 611734，China
    6 School of Computer Science，North China Institute of Science and Technology，Langfang Hebei 065201，China
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