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| Titel |
Statistical approach to storm event-induced landslides susceptibility |
| VerfasserIn |
C.-T. Lee, C.-C. Huang, J.-F. Lee, K.-L. Pan, M.-L. Lin, J.-J. Dong |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 8, no. 4 ; Nr. 8, no. 4 (2008-08-29), S.941-960 |
| Datensatznummer |
250005665
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| Publikation (Nr.) |
 copernicus.org/nhess-8-941-2008.pdf |
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| Zusammenfassung |
| 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. |
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