http://www.cnr.it/ontology/cnr/individuo/prodotto/ID20283
Analysis of landslide inventories for accurate prediction of debris-flow source areas (Articolo in rivista)
- Type
- Label
- Analysis of landslide inventories for accurate prediction of debris-flow source areas (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.geomorph.2010.02.017 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Blahut J.; van Westen C. J.; Sterlacchini S. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- Scopus (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Department of Environmental and Territorial Sciences, University of Milano-Bicocca, Piazza della, Scienza 1, 20126 Milan, Italy
Institute for the Dynamic of Environmental Processes, National Research Council, (CNR-IDPA), Piazza della Scienza 1, 20126 Milan, Italy
International Institute for Geo-Information Science and Earth Observation, ITC, Hengelosestraat 99, P.O. Box 6, 7500 AA, Enschede, The Netherlands (literal)
- Titolo
- Analysis of landslide inventories for accurate prediction of debris-flow source areas (literal)
- Abstract
- For the generation of susceptibility maps on medium scales (1:25,000 to 1:50,000) using statistical
techniques, a reliable landslide inventory is needed, together with factor maps used as inputs. This paper
compares landslide susceptibility maps obtained with the same methodology but using different landslide
inventories: the official Italian landslide inventory GeoIFFI for the Lombardy Region and a recently mapped
inventory (DF2001). The analysis included four main steps: (i) preparation of debris flow inventories using
both random and spatial partitions and factor maps as explanatory variables; (ii) calculation of
accountability and reliability indices for a preliminary susceptibility analysis and selection of an appropriate
combination of the factor maps for detailed analysis; (iii) evaluation and validation of the obtained
susceptibility maps; and (iv) comparison of the results and selection of the final map. The study area is
located in the Valtellina Valley in the Central Italian Alps. The analysis identified highly susceptible areas of
shallow landslides that may generate debris flows. It was demonstrated that more precisely delimited source
areas for landslide-induced debris flows produce better susceptibility maps. However, the improvement of
these maps was relatively limited when the inventories were randomly subdivided. Higher improvements
were observed after the subdivision of the inventories into three geographical parts with different
geomorphological characteristics. Although the modelling showed very similar results if evaluation is made
using standard techniques, the spatial pattern of the susceptibility maps was highly variable and dependent
on the combination of the factor maps used. (literal)
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