Sensitivity Analysis for Shallow Landsliding Susceptibility Assessment in Northern Tuscany (Contributo in volume (capitolo o saggio))

Type

• Prodotto della ricerca (Classe)
• Contributo in volume (capitolo o saggio) (Classe)

Label

• Sensitivity Analysis for Shallow Landsliding Susceptibility Assessment in Northern Tuscany (Contributo in volume (capitolo o saggio)) (literal)

Anno

• 2015-01-01T00:00:00+01:00 (literal)

Alternative label

• Perna, Massimo and Crisci, Alfonso and Capecchi, Valerio and Bartolini, Giorgio and Betti, Giulio and Piani, Francesco and Gozzini, Bernardo and Barsanti, Barbara and Bigio, Tommaso and Bonciani, Filippo and others (2015)
  Sensitivity Analysis for Shallow Landsliding Susceptibility Assessment in Northern Tuscany
  in Engineering Geology for Society and Territory-Volume 2, 2015
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Perna, Massimo and Crisci, Alfonso and Capecchi, Valerio and Bartolini, Giorgio and Betti, Giulio and Piani, Francesco and Gozzini, Bernardo and Barsanti, Barbara and Bigio, Tommaso and Bonciani, Filippo and others (literal)

Pagina inizio

• 197 (literal)

Pagina fine

• 200 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Engineering Geology for Society and Territory-Volume 2 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Consorzio LaMMA, via Madonna del Piano 10, 50019, Sesto Fiorentino, Italy CNR--Ibimet, via Giovanni Caproni 8, 50145, Florence, Italy Regional Hydrological Service, Tuscany Region, Lungarno a. Pacinotti 49, 56100, Pisa, Italy Civil Protection Department--Montignoso Council, via Fondaccio 16, 54038, Montignoso, Italy University of Siena Centre for GeoTechnologies, via Vetri Vecchi 34, 52027, San Giovanni Valdarno, Italy Department of Physics, Earth and Environmental Sciences, University of Siena, Strada Laterina 8, 53100, Siena, Italy (literal)

Titolo

• Sensitivity Analysis for Shallow Landsliding Susceptibility Assessment in Northern Tuscany (literal)

Abstract

• In two areas located in the north-western part of Tuscany, central Italy, Lunigiana and Garfagnana, noticeable heavy rainfall events occurred in the last years. During these events, the rainfall amounts and intensities triggered a great number of shallow landslides, causing damages, injuries and human losses. Steep slopes and deep valleys induced a persistently high relief of energy and high shallow landsliding susceptibility. In the present paper, the authors considered 4 heavy rainfall events that affected the area in 2009-2011. They carried out an analysis including a statistical modelling of spatial landslide occurrence by using Random Forest classifiers (RFc) after model selection by means of a stepwise AIC (Akaike Information Criterion) procedure. Event landslides occurrences permitted to build four event-specific RFc training sets, considering a large number of predictors reliable to characterize landslide susceptibility. Furthermore, the analysis took into account some relevant meteorological variables directly linked to the events themselves. An exploratory evaluation of the skills of a numerical weather prediction (NWP) model was conducted, to give a reliable supply to the RFc framework by using its weather forecast. For one selected event, a shallow landslide hazard model with meteorological inputs was validated. The preliminary results are shown and discussed. (literal)

Prodotto di

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR

• BERNARDO GOZZINI (Unità di personale interno)
• VALERIO CAPECCHI (Unità di personale interno)
• GIULIO BETTI (Unità di personale interno)
• ALFONSO CRISCI (Unità di personale interno)
• MASSIMO PERNA (Persona)

Incoming links:

Prodotto

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR di

• ALFONSO CRISCI (Unità di personale interno)
• MASSIMO PERNA (Persona)
• BERNARDO GOZZINI (Unità di personale interno)
• GIULIO BETTI (Unità di personale interno)
• VALERIO CAPECCHI (Unità di personale interno)