National and regional approaches for the prediction of rainfall-induced landslides in Italy: an overview (Abstract in rivista)

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  • National and regional approaches for the prediction of rainfall-induced landslides in Italy: an overview (Abstract in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Silvia Peruccacci (1), Maria Teresa Brunetti (1,2), Giovanna Capparelli (3), Sergio Di Pilla (4), Fausto Guzzetti (1), Maurizio Molari (5), Raffaele Niccoli (6), Paola Pagliara (7), Marco Pizziolo (8), Francesco Ponziani (9), Sara Maria Ratto (10), Samuele Segoni (11), Gabriella Speranza (12), Davide Tiranti (13), Robero Tonellato (14), and Matteo Vischi (15) (2014)
    National and regional approaches for the prediction of rainfall-induced landslides in Italy: an overview
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Silvia Peruccacci (1), Maria Teresa Brunetti (1,2), Giovanna Capparelli (3), Sergio Di Pilla (4), Fausto Guzzetti (1), Maurizio Molari (5), Raffaele Niccoli (6), Paola Pagliara (7), Marco Pizziolo (8), Francesco Ponziani (9), Sara Maria Ratto (10), Samuele Segoni (11), Gabriella Speranza (12), Davide Tiranti (13), Robero Tonellato (14), and Matteo Vischi (15) (literal)
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  • 16 (literal)
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  • Vol. 16 (literal)
Rivista
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  • Poster (literal)
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  • (1) Istituto di Ricerca per la Protezione Idrogeologica, via della Madonna Alta 126, 06128 Perugia, Italy (silvia.peruccacci@irpi.cnr.it) (2) Università degli Studi di Perugia, Piazza dell'Università 1, 06123 Perugia, Italy (3) Università della Calabria, Via Pietro Bucci, 87036 Rende, Italy (4) Agenzia Regionale di Protezione Civile, Regione Molise Contrada Selva del Campo, 86020 Campochiaro, Italy (5) Centro Funzionale Monitoraggio Rischi Regione Lombardia, Via Rosellini 17, 20124 Milano, Italy (6) Agenzia Regionale per la Protezione dell'Ambiente della Calabria, Via degli Angioini 143, 88100 Catanzaro, Italy (7) Dipartimento della Protezione Civile, Via Vitorchiano 2, 00189 Roma, Italy (8) Regione Emilia Romagna, Viale della Fiera 8, 40127 Bologna, Italy (9) Centro Funzionale Regione Umbria, Via Romana Vecchia, 06034 Foligno, Italy (10) Centro Funzionale Regionale Regione Valle d'Aosta, Via Promis 2/A, 11100 Aosta, Italy (11) Università degli Studi di Firenze, Via G. La Pira 4, 50121 Firenze, Italy (12) Centro Funzionale Multirischi Regione Marche, Via del Colle Ameno 5, 60126 Ancona, Italy (13) Agenzia Regionale per la Protezione dell'Ambiente del Piemonte, Via Pio VII 9, 10135 Torino, Italy (14) Regione del Veneto, Via Paolucci 34, 30175 Venezia, Italy (15) Provincia Autonoma di Bolzano-Alto Adige, Viale Druso 116, 39100 Bolzano, Italy (literal)
Titolo
  • National and regional approaches for the prediction of rainfall-induced landslides in Italy: an overview (literal)
Abstract
  • In Italy, rainfall-induced landslides with severe consequences in terms of economic damage and casualties occur every year. The Italian National Department for Civil Protection (DPC) has the responsibility, in agreement with regional and local governments, to protect individuals and communities from natural hazards, including landslides. In particular, the DPC has a guiding role in projects and activities for the prevention, forecast and monitoring of landslide risk. The alert system for the landslide risk is assured by the DPC and by the Italian Regions through the network of the regional functional centres, the regional structures and the competence centres. More specifically, each Region has to define procedures and methods to set up customized early warning system for the prediction of rainfall-induced landslides. In this work, we report an overview of approaches, methods and early warning systems adopted by the DPC and by the Italian Regions to forecast the occurrence of rainfall-induced slope failures. This study is a description of the state of the art in the prediction of landslides triggered by rainfall at national and regional scale. The collection and organization of this information is of considerable interest both for the DPC, and for the individual Regions. This overview can be a starting point for a constructive debate about the local expertise, in order to improve the landslide prediction capability and to contribute to reducing landslide risk. (literal)
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