 |
| Titel |
Factors selection in landslide susceptibility modelling on large scale following the gis matrix method: application to the river Beiro basin (Spain) |
| VerfasserIn |
D. Costanzo, E. Rotigliano, C. Irigaray, J. D. Jiménez-Perálvarez, J. Chacón |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 2 ; Nr. 12, no. 2 (2012-02-13), S.327-340 |
| Datensatznummer |
250010501
|
| Publikation (Nr.) |
 copernicus.org/nhess-12-327-2012.pdf |
|
|
|
|
|
| Zusammenfassung |
| A procedure to select the controlling factors connected to the slope
instability has been defined. It allowed us to assess the landslide
susceptibility in the Rio Beiro basin (about 10 km2) over the northeastern
area of the city of Granada (Spain). Field and remote (Google EarthTM)
recognition techniques allowed us to generate a landslide inventory consisting
in 127 phenomena. To discriminate between stable and unstable conditions, a
diagnostic area had been chosen as the one limited to the crown and the
toe of the scarp of the landslide. 15 controlling or determining factors
have been defined considering topographic, geologic, geomorphologic and
pedologic available data. Univariate tests, using both association
coefficients and validation results of single-variable susceptibility
models, allowed us to select the best predictors, which were combined for
the unique conditions analysis. For each of the five recognised landslide
typologies, susceptibility maps for the best models were prepared. In order
to verify both the goodness of fit and the prediction skill of the
susceptibility models, two different validation procedures were applied
and compared. Both procedures are based on a random partition of the
landslide archive for producing a test and a training subset. The first
method is based on the analysis of the shape of the success and prediction
rate curves, which are quantitatively analysed exploiting two morphometric
indexes. The second method is based on the analysis of the degree of fit, by
considering the relative error between the intersected target landslides by
each of the different susceptibility classes in which the study area was
partitioned. Both the validation procedures confirmed a very good predictive
performance of the susceptibility models and of the actual procedure
followed to select the controlling factors. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|