Traditionally, 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 (CMIPS). 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. (C) 2016 The Authors. Published by Elsevier Ltd.

Modeling the effects induced by the expected climatic trends on landslide activity at large scale

Brocca Luca;Camici Stefania;
2016

Abstract

Traditionally, 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 (CMIPS). 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. (C) 2016 The Authors. Published by Elsevier Ltd.
2016
Istituto di Ricerca per la Protezione Idrogeologica - IRPI
rainfall-induced landslides
climatic change
probabilistic models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/321521
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