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| Titel |
Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event |
| VerfasserIn |
D. W. Park, N. V. Nikhil, S. R. Lee |
| 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 ; 13, no. 11 ; Nr. 13, no. 11 (2013-11-14), S.2833-2849 |
| Datensatznummer |
250085554
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| Publikation (Nr.) |
 copernicus.org/nhess-13-2833-2013.pdf |
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| Zusammenfassung |
This paper presents the results from the application of a regional,
physically based stability model: Transient Rainfall Infiltration and
Grid-based Regional Slope-stability analysis (TRIGRS) for a region on
Woomyeon Mountain, Seoul, South Korea. This model couples an infinite-slope
stability analysis with a one-dimensional analytical solution to predict the
transient pore pressure response to the infiltration of rainfall. TRIGRS
also adopts the geographic information system (GIS) framework for
determining the whole behaviour of a slope. In this paper, we suggest an
index for evaluating the results produced by the model. Particular attention
is devoted to the prediction of routes of debris flow, using a runoff
module.
In this context, the paper compares observed landslide and debris flow
events with those predicted by the TRIGRS model. The TRIGRS model,
originally developed to predict shallow landslides, has been extended in
this study for application to debris flows. The results predicted by the
TRIGRS model are presented as safety factor (FS) maps corresponding to
transient rainfall events, and in terms of debris flow paths using methods
proposed by several researchers in hydrology.
In order to quantify the effectiveness of the model, we proposed an index
called LRclass (landslide ratio for each predicted FS class). The
LRclass index is mainly applied in regions where the
landslide scar area is not well defined (or is unknown), in order to avoid
overestimation of the model results. The use of the TRIGRS routing module
was proposed to predict the paths of debris flow, especially in areas where
the rheological properties and erosion rates of the materials are difficult
to obtain. Although an improvement in accuracy is needed, this module is
very useful for preliminary spatio-temporal assessment over wide areas. In
summary, the TRIGRS model is a powerful tool of use to decision makers for
susceptibility mapping, particularly when linked with various advanced
applications using GIS spatial functions. |
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