GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 1.1 GNGTS 2023 A new database of historical earthquake-induced landslides in Italy C. Zei 1,2 , G. Tarabusi 1 , C. Ciuccarelli 1 , D. Mariotti 1 , S. Baranello 1,3 , G. Sgattoni 1 , P. Burrato 1 , CFTI Working Group 1 1 Istituto Nazionale di Geofisica e Vulcanologia, Italy 2 Università degli Studi di Ferrara - Dipartimento di Fisica e Scienze della Terra, Italy 3 Università degli Studi di Bologna - Dipartimento di Fisica e Astronomia, Italy We present a new database of historical earthquake-induced landslides (HEILs) created within the project “Multi-scale, integrated approach for the definition of earthquake-induced landslide hazard in Italy”, funded by the Italian Ministry for the Environment. The goal of this project was to develop a multidisciplinary approach for assessing the earthquake-induced landslide hazard at national, regional and local scales, and integrating existing databases with the results from previous projects and research activities. The CFTI database holds a central role because it was compiled at the national scale and also because its latest version, CFTI5Med (Guidoboni et al, 2018 and 2019), documents about 600 landslides associated with strong historical earthquakes. We reviewed and integrated data relating to HEILs, already included in the CFTI database, by means of the identification of new landslides. We focused on the review of historical sources, newly found or already archived in the CFTI database, the analysis of recent scientific articles and technical reports. Moreover we carried out a comparison with other digital archives such as the CEDIT (Martino, 2012) and the EEE catalogue ( http://eeecatalogue.isprambiente.it/; Guerrieri, 2012). The goal was reaching a more accurate localization and definition of the slope movement types of the HEILs, when the descriptions of the historical sources allowed it, through the geographical comparison with data of different origins, such as aerial photographs, geomorphological and instability maps. These effects were associated, where possible, to the individual landslides registered in the IFFI database (https://www.progettoiffi.isprambiente.it/) . The final result is a dataset with about 1,000 landslides divided into classes of location accuracy. The dataset is addressed to a large audience of potential users: researchers and scholars, administrators and technicians of local institutions, and civil protection authorities. The results are collected in a new independent database, CFTI Landslides (Fig.1), connected to the CFTI5Med, that is publicly accessible online through a dedicated open-source geographic interface, designed to be interoperable with both INGV and external databases.