4.6 Article

Spatio-temporal analysis and simulation on shallow rainfall-induced landslides in China using landslide susceptibility dynamics and rainfall I-D thresholds

Journal

SCIENCE CHINA-EARTH SCIENCES
Volume 60, Issue 4, Pages 720-732

Publisher

SCIENCE PRESS
DOI: 10.1007/s11430-016-9008-4

Keywords

Rainfall-induced landslides; Susceptibility; Rainfall I-D thresholds; Spatio-temporal; Simulation

Funding

  1. National Natural Science Foundation of China [41501458]
  2. China Postdoctoral Science Foundation [2016M592860]
  3. National Basic Research Program of China [2013CB733204]
  4. Key Laboratory of Mining Spatial Information Technology of NASMG [KLM201309]
  5. Science Program of Shanghai Normal University [SK201525]
  6. Shanghai Gaofeng & Gaoyuan Project for University Academic Program Development [2013LASW-A09, SKHL1310]
  7. Center of Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai, China

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An empirical simulation method to simulate the possible position of shallow rainfall-induced landslides in China has been developed. This study shows that such a simulation may be operated in real-time to highlight those areas that are highly prone to rainfall-induced landslides on the basis of the landslide susceptibility index and the rainfall intensity-duration (I-D) thresholds. First, the study on landslide susceptibility in China is introduced. The entire territory has been classified into five categories, among which high-susceptibility regions (Zone 4-'High' and 5-'Very high') account for 4.15% of the total extension of China. Second, rainfall is considered as an external triggering factor that may induce landslide initiation. Real-time satellite-based TMPA 3B42 products may provide real rainfall spatial and temporal patterns, which may be used to derive rainfall duration time and intensity. By using a historical record of 60 significant past landslides, the rainfall I-D equation has been calibrated. The rainfall duration time that may trigger a landslide has resulted between 3 hours and 45 hours. The combination of these two aspects can be exploited to simulate the spatiotemporal distribution of rainfall-induced landslide hazards when rainfall events exceed the rainfall I-D thresholds, where the susceptibility category is 'high' or 'very high'. This study shows a useful tool to be part of a systematic landslide simulation methodology, potentially providing useful information for a theoretical basis and practical guide for landslide prediction and mitigation throughout China.

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