raditionally, slope stability assessments are based on stationary expected extreme rainfalls, provided by the Intensity-Duration-Frequency curves. More recent approaches are based on projected rainfall scenarios, considering the expected climatic trends provided by General Circulation Models (GCMs). The projected rainfalls used in this study have been obtained by climate simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Different GCMs emission scenarios (Representative Concentration Pathways 2.6, 4.5, 8.5) and time horizons (e.g., 2010-2039; 2040-2069; 2070-2099) are analysed. In order to fill the scale gap between the spatial resolution of GCMs and the resolution required for impact studies, statistically downscaled climate projections provided by [1,2] are used as input into PG-TRIGRS [3] to predict the effect of climatic change on landslide activity. A hydrological basin located in the Umbria region of central Italy is used as case study.

Modeling the Effects Induced by the Expected Climatic Trends on Landslide Activity at Large Scale

VOLPE, EVELINA;FANELLI, GIULIA;
2016-01-01

Abstract

raditionally, slope stability assessments are based on stationary expected extreme rainfalls, provided by the Intensity-Duration-Frequency curves. More recent approaches are based on projected rainfall scenarios, considering the expected climatic trends provided by General Circulation Models (GCMs). The projected rainfalls used in this study have been obtained by climate simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Different GCMs emission scenarios (Representative Concentration Pathways 2.6, 4.5, 8.5) and time horizons (e.g., 2010-2039; 2040-2069; 2070-2099) are analysed. In order to fill the scale gap between the spatial resolution of GCMs and the resolution required for impact studies, statistically downscaled climate projections provided by [1,2] are used as input into PG-TRIGRS [3] to predict the effect of climatic change on landslide activity. A hydrological basin located in the Umbria region of central Italy is used as case study.
2016
Inglese
Diana Salciarini, Evelina Volpe, Sara Alison Kelley, Luca Brocca, Stefania Camici, Giulia Fanelli, Claudio Tamagnini
Procedia Engineering
ELETTRONICO
158
6th Italian Conference of Researchers in Geotechnical Engineering, CNRIG 2016
541
545
5
http://www.sciencedirect.com/science/journal/18777058
Elsevier Ltd
Esperti anonimi
2016
Bologna, Italy
climatic changes; probabilistic models; rainfall-induced landslides; climate projection
none
Salciarini, Diana; Volpe, Evelina; Kelley, SARA ALISON; Brocca, Luca; Camici, Stefania; Fanelli, Giulia; Tamagnini, Claudio
273
info:eu-repo/semantics/conferenceObject
7
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11389/57015
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