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Titel |
GIS and statistical analysis for landslide susceptibility mapping in the Daunia area, Italy |
VerfasserIn |
F. Mancini, C. Ceppi, G. Ritrovato |
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 ; 10, no. 9 ; Nr. 10, no. 9 (2010-09-07), S.1851-1864 |
Datensatznummer |
250008397
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Publikation (Nr.) |
copernicus.org/nhess-10-1851-2010.pdf |
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Zusammenfassung |
This study focuses on landslide susceptibility mapping in the Daunia area
(Apulian Apennines, Italy) and achieves this by using a multivariate
statistical method and data processing in a Geographical Information System
(GIS). The Logistic Regression (hereafter LR) method was chosen to produce a
susceptibility map over an area of 130 000 ha where small settlements are
historically threatened by landslide phenomena. By means of LR analysis, the
tendency to landslide occurrences was, therefore, assessed by relating a
landslide inventory (dependent variable) to a series of causal factors
(independent variables) which were managed in the GIS, while the statistical
analyses were performed by means of the SPSS (Statistical Package for the
Social Sciences) software. The LR analysis produced a reliable susceptibility
map of the investigated area and the probability level of landslide
occurrence was ranked in four classes. The overall performance achieved by
the LR analysis was assessed by local comparison between the expected
susceptibility and an independent dataset extrapolated from the landslide
inventory. Of the samples classified as susceptible to landslide occurrences,
85% correspond to areas where landslide phenomena have actually occurred. In
addition, the consideration of the regression coefficients provided by the
analysis demonstrated that a major role is played by the "land cover" and
"lithology" causal factors in determining the occurrence and distribution
of landslide phenomena in the Apulian Apennines. |
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