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| Titel |
Non-susceptible landslide areas in Italy and in the Mediterranean region |
| VerfasserIn |
I. Marchesini, F. Ardizzone, M. Alvioli, M. Rossi, F. Guzzetti |
| 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 Sciences ; 14, no. 8 ; Nr. 14, no. 8 (2014-08-27), S.2215-2231 |
| Datensatznummer |
250118611
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| Publikation (Nr.) |
 copernicus.org/nhess-14-2215-2014.pdf |
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| Zusammenfassung |
| We used landslide information for 13 study areas in Italy and morphometric
information obtained from the 3-arcseconds shuttle radar topography mission digital elevation model (SRTM DEM) to determine areas where
landslide susceptibility is expected to be negligible in Italy and in the
landmasses surrounding the Mediterranean Sea. The morphometric information
consisted of the local terrain slope which was computed in a square 3 × 3-cell
moving window, and in the regional relative relief computed in a circular
15 × 15-cell moving window. We tested three different models to
classify the "non-susceptible" landslide areas, including a linear model
(LNR), a quantile linear model (QLR), and a quantile, non-linear model (QNL).
We tested the performance of the three models using independent landslide
information presented by the Italian Landslide Inventory
(Inventario Fenomeni Franosi in Italia – IFFI). Best results were
obtained using the QNL model. The corresponding zonation of
non-susceptible landslide areas was intersected in a geographic information system (GIS) with
geographical census data for Italy. The result determined that 57.5% of
the population of Italy (in 2001) was located in areas where landslide
susceptibility is expected to be negligible. We applied the QNL model to the
landmasses surrounding the Mediterranean Sea, and we tested the synoptic
non-susceptibility zonation using independent landslide information for three
study areas in Spain. Results showed that the QNL model was capable of
determining where landslide susceptibility is expected to be negligible in
the validation areas in Spain. We expect our results to be applicable in
similar study areas, facilitating the identification of non-susceptible
landslide areas, at the synoptic scale. |
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