Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/15993
Authors: Oliveti, Ilaria* 
Faenza, Licia* 
Michelini, Alberto* 
Title: New reversible relationships between ground motion parameters and macroseismic intensity for Italy and their application in ShakeMap
Journal: Geophysical Journal International 
Series/Report no.: /231(2022)
Publisher: Oxford University Press - The Royal Astronomical Society
Issue Date: 2022
DOI: 10.1093/gji/ggac245
Keywords: Europe
Earthquake ground motions
Seismicity and tectonics
Subject Classification04.06. Seismology 
Abstract: We derived new, reversible relationships between macroseismic intensity (I), expressed in either the European Macroseismic (EMS-98) or the Mercalli–Cancani–Sieberg (MCS) scales and peak ground acceleration (PGA), peak ground velocity (PGV) and the spectral acceleration (SA) at 0.3, 1.0 and 3.0 s [SA(0.3), SA(1.0) and SA(3.0)] for Italy. We adopted the orthogonal distance regression technique to fit a quadratic function. This research aims to improve ground motion and intensity estimates for earthquake hazard applications, and for the calculation of shakemaps in Italy. To this end, the recently published INGe data set was used (https: //doi.org/10.13127/inge.2). The new relations are: I = 3.01 ± 0.12 + 0.86 ± 0.04 log2 PGA,σ= 0.30,σPGA = 0.25,σI = 0.16 I = 4.31 ± 0.15 + 1.99 ± 0.18 log PGV + 0.58 ± 0.18 log2 PGV,σ= 0.34,σPGV = 0.31,σI = 0.15 I = 2.77 ± 0.15 + 0.68 ± 0.03 log2 SA(0.3),σ= 0.31,σSA(0.3) = 0.28,σI = 0.14 I = 3.00 ± 0.28 + 0.91 ± 0.55 log SA(1.0) + 0.51 ± 0.20 log2 SA(1.0),σ= 0.40,σSA(1.0) = 0.38,σI = 0.14 I = 4.04 ± 0.20 + 1.63 ± 0.19 log SA(3.0) + 0.66 ± 0.20 log2 SA(3.0),σ= 0.38,σSA(3.0) = 0.35,σI = 0.14 where PGA and SAs are expressed in cm s−2 and PGV is expressed in cm s−1. Tests performed to assess the robustness and the accuracy of the results demonstrate that adoption of quadratic relationships for this regression problem is a suitable choice within the range of values of the available data set. Comparison with similar published regressions for Italy evidences that the proposed relations provide statistically significant improved fits to the data. The new relations are also tested by inserting them in the ShakeMap system of the Italian configuration evidencing a significant improvement when compared to those implemented.
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