The 2016–2017 earthquake sequence in Central Italy: macroseismic survey and damage scenario through the EMS-98 intensity assessment

Autor: Vera Pessina, Antonella Paciello, Guido Martini, S. Del Mese, Filippo Bernardini, Giacomo Buffarini, Emanuela Ercolani, Luca Arcoraci, Raffaele Azzaro, Alessandra Maramai, Antonio Rossi, Romano Camassi, Salomon Hailemikael, Corrado Castellano, Salvatore Paolini, Vladimiro Verrubbi, Mario Locati, Massimiliano Stucchi, Antonio Fodarella, Andrea Rovida, Andrea Tertulliani, Laura Graziani
Přispěvatelé: Rossi, A., Tertulliani, A., Azzaro, R., Graziani, L., Rovida, A., Maramai, A., Pessina, V., Hailemikael, S., Buffarini, G., Bernardini, F., Camassi, R., Del Mese, S., Ercolani, E., Fodarella, A., Locati, M., Martini, G., Paciello, A., Paolini, S., Arcoraci, L., Castellano, C., Verrubbi, V., Stucchi, M.
Rok vydání: 2019
Předmět:
Zdroj: Bulletin of Earthquake Engineering. 17:2407-2431
ISSN: 1573-1456
1570-761X
DOI: 10.1007/s10518-019-00556-w
Popis: In this paper we describe the macroseismic effects produced by the long and destructive seismic sequence that hit Central Italy from 24 August 2016 to January 2017. Starting from the procedure adopted in the complex field survey, we discuss the characteristics of the building stock and its classification in terms of EMS-98 as well as the issues associated with the intensity assessment due to the evolution of damage caused by multiple shocks. As a result, macroseismic intensity for about 300 localities has been determined; however, most of the intensities assessed for the earthquakes following the first strong shock on 24 August 2016, represent the cumulative effect of damage during the sequence. The earthquake parameters computed from the macroseismic datasets are compared with the instrumental determinations in order to highlight critical issues related to the assessment of macroseismic parameters of strong earthquakes during a seismic sequence. The results also provide indications on how location and magnitude computation can be strongly biased when dealing with historical seismic sequences.
Databáze: OpenAIRE