Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/16742
Authors: Gómez Capera, Augusto Antonio* 
Santulin, Marco* 
D'Amico, Maria* 
D'Amico, Vera* 
Locati, Mario* 
Meletti, Carlo* 
Varini, Elisa* 
Title: Macroseismic intensity attenuation models calibrated in Mw for Italy
Journal: Bulletin of Earthquake Engineering 
Publisher: Springer-Nature
Issue Date: 29-Nov-2023
DOI: 10.1007/s10518-023-01822-8
Keywords: Macroseismic Intensity
Intensity Attenuation
Macroseismic Data
Italy
Subject Classification04.06. Seismology 
Abstract: This study aims at developing new macroseismic intensity attenuation models valid for Italy by exploiting the most updated macroseismic dataset and earthquakes catalogue, as well as the information obtained from a critical analysis of the most recent models in the literature. Several different attenuation models have been calibrated as a function of the moment magnitude (Mw) and epicentral distance from 16,260 intensity data points, that are related to 119 earthquakes occurred after 1900. According to trends and residuals analysis, the preferred calibrated intensity attenuation function is a Log-Linear model for epicentral distance (Repi in km) and a linear model for Mw as: I(MCS) = 1.81 − 2.61LogR − 0.0039R + 1.42Mw with pseudo hypocentral distance R = √R2 + (9.87)2 ; the estimated standard deviation is epi σ=0.75. Also noteworthy is another model for macroseismic intensity attenuation that proved to be as good as the best model and shows higher sensitivity to physical parameters, such as focal depth and magnitude, especially in the epicentral area. Performance of all calibrated models was also checked on an independent set of 15 post-1900 Italian earth- quakes. One of the results of the present work is the opportunity to define earthquake sce- narios (e.g. probabilistic seismic hazard maps) in terms of Macroseismic Intensity and its related standard deviation, avoiding the uncertainties due to the conversion of various ground shaking parameters into intensity values.
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