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| Titel |
Landslide susceptibility assessment in the Upper Orcia Valley (Southern Tuscany, Italy) through conditional analysis: a contribution to the unbiased selection of causal factors |
| VerfasserIn |
F. Vergari, M. Seta, M. Monte, P. Fredi, E. Lupia Palmieri |
| 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 ; 11, no. 5 ; Nr. 11, no. 5 (2011-05-19), S.1475-1497 |
| Datensatznummer |
250009426
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| Publikation (Nr.) |
 copernicus.org/nhess-11-1475-2011.pdf |
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| Zusammenfassung |
In this work the conditional multivariate analysis was applied to evaluate
landslide susceptibility in the Upper Orcia River Basin (Tuscany, Italy),
where widespread denudation processes and agricultural practices have a
mutual impact. We introduced an unbiased procedure for causal factor
selection based on some intuitive statistical indices. This procedure is
aimed at detecting among different potential factors the most discriminant
ones in a given study area. Moreover, this step avoids generating too small
and statistically insignificant spatial units by intersecting the factor
maps. Finally, a validation procedure was applied based on the partition of
the landslide inventory from multi-temporal aerial photo interpretation.
Although encompassing some sources of uncertainties, the applied
susceptibility assessment method provided a satisfactory and unbiased
prediction for the Upper Orcia Valley. The results confirmed the efficiency
of the selection procedure, as an unbiased step of the landslide
susceptibility evaluation. Furthermore, we achieved the purpose of
presenting a conceptually simple but, at the same time, effective
statistical procedure for susceptibility analysis to be used as well by
decision makers in land management. |
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