2020
DOI: 10.1785/0220200044
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Developing the First Intensity Prediction Equation Based on the Environmental Scale Intensity: A Case Study from Strong Normal-Faulting Earthquakes in the Italian Apennines

Abstract: Earthquakes produce effects on the built and natural environment, the severity of which decays with distance from the epicenter. Empirical relations describing the intensity attenuation with distance are fundamental for seismic hazard assessment and for deriving parameters for preinstrumental events. Seismic intensity is usually assigned based on damage to buildings and infrastructures; this can be challenging for intensity degrees higher than X or when macroseismic fields of multiple events close in time are … Show more

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Cited by 9 publications
(10 citation statements)
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“…The spatial distribution of the environmental effects of the earthquake (EEE) and the isoseismal map confirms that the area between Fango (Lacco Ameno) and Piazza Bagni localities (Figures 2 and 5) is the epicentral area. It is important to note that in the epicentral area of damaging earthquakes, when compared with traditional intensity scales the ESI intensity map generally shows a steeper attenuation in the near field (e.g., [27,69]). Therefore, ESI intensity typically provides better constraints on the location and geometry of the seismic source.…”
Section: Discussionmentioning
confidence: 99%
“…The spatial distribution of the environmental effects of the earthquake (EEE) and the isoseismal map confirms that the area between Fango (Lacco Ameno) and Piazza Bagni localities (Figures 2 and 5) is the epicentral area. It is important to note that in the epicentral area of damaging earthquakes, when compared with traditional intensity scales the ESI intensity map generally shows a steeper attenuation in the near field (e.g., [27,69]). Therefore, ESI intensity typically provides better constraints on the location and geometry of the seismic source.…”
Section: Discussionmentioning
confidence: 99%
“…An ESI macroseismic field was not available for all the earthquakes, so we derived it from an intensity prediction equation (IPE), which expresses the ESI intensity as a function of epicentral intensity I 0 and distance. The equation was developed by the authors of [6] from over 400 ESI intensity data points belonging to 14 earthquakes that occurred in the Central and Southern Apennines; data were binned according to the intensity value, and the median value for each class was used to derive the prediction equation adopting a least-squares approach. A log-linear functional form was selected based on the fitting performance.…”
Section: Methodsmentioning
confidence: 99%
“…A log-linear functional form was selected based on the fitting performance. The IPE assumed the following values [6]:…”
Section: Methodsmentioning
confidence: 99%
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“…For the EMS-98, maximum intensity is I EMS VIII between Pennisi and Fleri (QUEST WG, 2019), showing disagreement with the ESI-07 data. It is important to note that the intensity of the traditional macroseismic scales might be affected by the introduction of new building codes, resulting in a decrease of macroseismic intensities for earthquakes occurred in the last decade (Ferrario et al, 2020). The collected data allow us to suggest that the ESI-07 works better than traditional macroseismic scale in the seismotectonic environment of Mt.…”
mentioning
confidence: 97%