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  4. Statistical approach to storm event-induced landslides susceptibility
 
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Statistical approach to storm event-induced landslides susceptibility

Journal
Natural Hazards and Earth System Science
Journal Volume
8
Journal Issue
4
Pages
941-960
Date Issued
2008
Author(s)
Lee, C.-T.
Huang, C.-C.
Lee, J.-F.
Pan, K.-L.
Lin, M.-L.
MEEI-LING LIN  
MING-LANG LIN  
DOI
10.5194/nhess-8-941-2008
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/437553
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-51049085822&doi=10.5194%2fnhess-8-941-2008&partnerID=40&md5=6524d9f20b93c36886b272a37d65e125
Abstract
Abstract. For the interpretation of the storm event-induced landslide distribution for an area, deterministic methods are frequently used, while a region's landslide susceptibility is commonly predicted via a statistical approach based upon multi-temporal landslide inventories and environmental factors. In this study we try to use an event-based landslide inventory, a set of environmental variables and a triggering factor to build a susceptibility model for a region which is solved using a multivariate statistical method. Data for shallow landslides triggered by the 2002 typhoon, Toraji, in central western Taiwan, are selected for training the susceptibility model. The maximum rainfall intensity of the storm event is found to be an effective triggering factor affecting the landslide distribution and this is used in the model. The model is built for the Kuohsing region and validated using data from the neighboring Tungshih area and a subsequent storm event – the 2004 typhoon, Mindulle, which affected both the Kuohsing and the Tungshih areas. The results show that we can accurately interpret the landslide distribution in the study area and predict the occurrence of landslides in the neighboring region in a subsequent typhoon event. The advantage of this statistical method is that neither hydrological data, strength data, failure depth, nor a long-period landslide inventory is needed as input.
Type
journal article

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