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| Titel |
Technical Note: Assessing predictive capacity and conditional independence of landslide predisposing factors for shallow landslide susceptibility models |
| VerfasserIn |
S. Pereira, J. L. Zêzere, C. Bateira |
| 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 ; 12, no. 4 ; Nr. 12, no. 4 (2012-04-16), S.979-988 |
| Datensatznummer |
250010696
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| Publikation (Nr.) |
 copernicus.org/nhess-12-979-2012.pdf |
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| Zusammenfassung |
The aim of this study is to identify the landslide predisposing factors'
combination using a bivariate statistical model that best predicts landslide
susceptibility. The best model is one that has simultaneously good
performance in terms of suitability and predictive power and has been developed
using variables that are conditionally independent. The study area is the
Santa Marta de Penaguião council (70 km2) located in the Northern
Portugal.
In order to identify the best combination of landslide predisposing factors,
all possible combinations using up to seven predisposing factors were
performed, which resulted in 120 predictions that were assessed with a
landside inventory containing 767 shallow translational slides. The best
landslide susceptibility model was selected according to the model degree of
fitness and on the basis of a conditional independence criterion. The best
model was developed with only three landslide predisposing factors (slope
angle, inverse wetness index, and land use) and was compared with a model
developed using all seven landslide predisposing factors.
Results showed that it is possible to produce a reliable landslide
susceptibility model using fewer landslide predisposing factors, which
contributes towards higher conditional independence. |
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