Spatio-temporal analysis and simulation on shallow rainfall-induced landslides in China using landslide susceptibility dynamics and rainfall I-D thresholds
- 136 Downloads
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.
KeywordsRainfall-induced landslides Susceptibility Rainfall I-D thresholds Spatio-temporal Simulation
Unable to display preview. Download preview PDF.
This work was supported by the National Natural Science Foundation of China (Grant No. 41501458), China Postdoctoral Science Foundation Funded Project (Grant No. 2016M592860), National Basic Research Program of China (Grant No. 2013CB733204), Key Laboratory of Mining Spatial Information Technology of NASMG (Grant Nos. KLM201309), Science Program of Shanghai Normal University (Grant No. SK201525), the Shanghai Gaofeng & Gaoyuan Project for University Academic Program Development (Grant Nos. 2013LASW-A09 & SKHL1310) and the Center of Spatial Information Science and Sustainable Development Applications, Tongji University, Shanghai, China.
- Chen S, Hong Y, Cao Q, Kirstetter P E, Gourley J J, Qi Y, Zhang J, Howard K, Hu J, Wang J. 2013. Performance evaluation of radar and satellite rainfalls for Typhoon Morakot over Taiwan: Are remote-sensing products ready for gauge denial scenario of extreme events? J Hydrol, 506: 4–13CrossRefGoogle Scholar
- Chung C J F, Fabbri A G. 1999. Probabilistic prediction models for landslide hazard mapping. Photogramm Eng Rem S, 65: 1389–1399Google Scholar
- Heersink P. 2005. World Atlas of natural hazards. Cartogr-Int J Geographic Inf Geovisual, 40: 133–134Google Scholar
- Huang R. 2007. Large-scale landslides and their sliding mechanisms in China Since the 20th century (in Chinese). Chin J Rock Mech Eng, 26: 433–454Google Scholar
- Li W, Liu C, Hong Y, Zhang X, Wan Z, Saharia M, Sun W, Yao D, Chen W, Chen S, Yang X, Yue Y. 2016b. A public Cloud-based China’s Landslide Inventory Database (CsLID): Development, zone, and spatiotemporal analysis for significant historical events, 1949–2011. J Mt Sci, 13: 1275–1285CrossRefGoogle Scholar
- Li Y, Meng H, Dong Y, Hu S. 2004. Main types and characteristics of geo-hazard in China—Based on the results of geo-hazard survey in 290 counties (in Chinese). Chin J Geol Hazard Control, 15: 29–31Google Scholar
- Liu C, Li W, Lu P, Sang K, Hong Y, Li Y. 2012. Susceptibility evaluation and mapping of China's landslide disaster based on multi-temporal ground and remote sensing satellite data. ISPRS-International Archives of the Photogrammetry XXXIX-B8. 45–50Google Scholar
- Ma T, Li C, Sun L, Li W, He C. 2011. Rainfall intensity-duration thresholds for landslides in Zhejiang region, China (in Chinese). Chin J Geol Hazard Control, 22: 20–25Google Scholar
- Shen Y, Pan Y, Yu J J, Zhao P, Zhou Z J. 2013. Quality assessment of hourly merged precipitation product over China (in Chinese). Trans Atmos Sci, 36: 37–46Google Scholar
- Yin Y. 2004. Initial study on the hazard-relief strategy of geological hazard in China (in Chinese). Chin J Geol Hazard Control, 15: 1–8Google Scholar