 |
| Titel |
Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan |
| VerfasserIn |
C. Y. Wu, S. C. Chen |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 9 ; Nr. 13, no. 9 (2013-09-25), S.2353-2367 |
| Datensatznummer |
250085520
|
| Publikation (Nr.) |
 copernicus.org/nhess-13-2353-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| Landslide spatial, temporal, and size probabilities were used to perform a
landslide hazard assessment in this study. Eleven intrinsic
geomorphological, and two extrinsic rainfall factors were evaluated as
landslide susceptibility related factors as they related to the success rate
curves, landslide ratio plots, frequency distributions of landslide and
non-landslide groups, as well as probability–probability plots. Data on
landslides caused by Typhoon Aere in the Shihmen watershed were selected to
train the susceptibility model. The landslide area probability, based on the
power law relationship between the landslide area and a noncumulative
number, was analyzed using the Pearson type 5 probability density function.
The exceedance probabilities of rainfall with various recurrence intervals,
including 2, 5, 10, 20, 50, 100 and 200 yr, were used to determine
the temporal probabilities of the events. The study was conducted in the
Shihmen watershed, which has an area of 760 km2 and is one of the main
water sources for northern Taiwan. The validation result of Typhoon Krosa
demonstrated that this landslide hazard model could be used to predict the
landslide probabilities. The results suggested that integration of spatial,
area, and exceedance probabilities to estimate the annual probability of
each slope unit is feasible. The advantage of this annual landslide
probability model lies in its ability to estimate the annual landslide risk,
instead of a scenario-based risk. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|