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Level-2 susceptibility zoning on seismic-induced landslides: An application to Sannio and Irpinia areas,Southern Italy
Institution:1. Erguna Forest-Steppe Ecotone Research Station, Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;2. Key Laboratory of Vegetation Ecology, Ministry of Education, Northeast Normal University, Changchun, China;3. Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;4. College of Environment and Resources, Dalian Minzu University, Dalian 116600, China;5. Key Laboratory of Biogeography and Bioresource in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;6. Department of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK 73019, USA;1. Departmento de Geología, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, 8370450 Santiago, Chile;2. Andean Geothermal Center of Excellence (CEGA), Universidad de Chile, Santiago, Chile;3. Instituto de Ciencias de la Tierra, Universidad Austral de Chile, Valdivia, Chile;4. Department of Geological Science, University of Alaska Anchorage, United States;5. INGV Osservatorio Vesuviano, Napoli, Italy;6. CNR Iriss, Napoli, Italy
Abstract:In this paper we recall a method for medium scale (level-2) zoning of seismic-induced landslide susceptibility and present its application to the Sannio–Irpinia area, Southern Italy. Previous small scale studies of the entire Campania Region identified this area as one of the most susceptible to earthquake-induced landslides in the region. The area’s intense seismic and landslide activity and the characteristics of the deposits involved in landslides make this analysis an interesting case study for land planning, management and protection of an area characterized by high seismic and hydrogeological hazard. The result of the zoning shows good agreement between the distribution of the historical earthquake-triggered landslides and the areas defined by the method as the most susceptible ones. They also highlight the method’s effectiveness in the presence of complex clayey deposits.
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