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| Titel |
Shallow landslide prediction and analysis with risk assessment using a spatial model in a coastal region in the state of São Paulo, Brazil |
| VerfasserIn |
P. I. M. Camarinha, V. Canavesi, R. C. S. Alvalá |
| 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. 9 ; Nr. 14, no. 9 (2014-09-17), S.2449-2468 |
| Datensatznummer |
250118663
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| Publikation (Nr.) |
 copernicus.org/nhess-14-2449-2014.pdf |
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| Zusammenfassung |
| This study presents a methodology for susceptibility mapping of shallow
landslides just from data and software from the public domain. The study was
conducted in a mountainous region located on the southeastern Brazilian
coast, in the state of São Paulo. The proposal is that the methodology
can be replicated in a practical and reliable way in several other
municipalities that do not have such mappings and that often suffer from
landslide-related disasters. The susceptibility mapping was generated based
on the following maps: geological, soils, slope, horizontal and vertical
curvatures, and land use. The thematic classes of these maps were weighted
according to technical and scientific criteria related to the triggering of
landslides, and were crossed by the fuzzy gamma technique. The mapping was
compared with the risk sector survey made by the Brazilian Geological Survey
(CPRM), which is the official database used by municipalities and civil
defense in risk management. The results showed positive correlations, so that
the critical risk sectors had higher proportions for the more susceptible
classes. To compare the approach with other studies using landslide-scar
maps, correlated indices were evaluated, which also showed satisfactory
results, thus indicating that the methodology presented is appropriate for
risk assessment in urban areas. |
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