Seismicity, seismotectonics and seismic hazard of Italy

Romeo, Roberto; Pugliese, Antonio

doi:10.1016/s0013-7952(99)00081-2

Cited by 32 publications

(15 citation statements)

References 30 publications

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“…Romeo and Pugliese, 2000;Pace et al, 2006;Akinci et al, 2009) and the horizontal peak ground acceleration (PGA) hazard level is found to be in the order of 0.25g for a return period of 475 years. Deaggregation analysis by Akinci et al (2009) indicates that the 475 year PGA hazard at L'Aquila is largely controlled by large earthquakes (M W 6.5-6.7) on faults oriented parallel to the dominant structural trend.…”

Section: The L'aquila Event and Seismic Hazard In The Central Apenninesmentioning

confidence: 99%

Field observations from the Aquila, Italy earthquake of April 6, 2009

Rossetto

Peiris

Alarcón

et al. 2010

Bull Earthquake Eng

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On April 6, 2009 an earthquake of Magnitude 6.2 (M w ) struck the Abbruzzo region of Italy causing widespread damage to buildings in the city of L'Aquila and surrounding areas. This paper summarizes field observations made by the Earthquake Engineering Field Investigation Team (EEFIT) after the event. The paper presents an overview of seismological and geotechnical aspects of the earthquake as well as a summary of the observed damage to buildings and infrastructure. A brief overview of the earthquake casualties is also reported.

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Section: The L'aquila Event and Seismic Hazard In The Central Apenninesmentioning

confidence: 99%

Field observations from the Aquila, Italy earthquake of April 6, 2009

Rossetto

Peiris

Alarcón

et al. 2010

Bull Earthquake Eng

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“…Several statistical models were used and tested, including exponential, Gaussian (Rikitake, 1974), Lognormal (Nishenko and Buland, 1987), Gamma (Utsu, 1984) and Weibull (Hagiwara, 1974) distributions. Among them lognormal was found better to apply to Italian historical data ( Romeo and Pugliese, 2000). Nevertheless, a modification of the lognormal distribution was applied to compute earthquake probabilities (Brownian passage time (BPT) distribution, Ellsworth et al, 1998;Matthews et al, 2002) due to its peculiar properties.…”

Section: Methodology and Data Sourcesmentioning

confidence: 99%

“…They justified the low values of the conditional probabilities obtained (@0.1) with the observation that current lifetimes used in the prediction (10-50 years, on average) are too small compared to the seismic cycle of active faults in Italy, whose average recurrence times are of the order of several hundreds to some thousands of years. Romeo and Pugliese (2000) focused attention on a more detailed seismotectonic zoning of Italy and calculated the probability that strong earthquakes (M ‡ 6.4) with a lognormal distribution of the interevent times, could occur in 27 out of 81 seismic source zones in the period 1997-2026; they also computed for the whole country the conditional probability of a peak ground acceleration exceeding 0.2 g. The most hazardous area was concentrated across the boundary between Umbria and Marche administrative Regions, where effectively the 1997 Assisi earthquake shook the ground with accelerations as high as 0.5 g.…”

Section: Introduction and Background Issuesmentioning

confidence: 99%

Earthquake Hazard in Italy, 2001–2030

Romeo

2005

Nat Hazards

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The study computes time-dependant earthquake probabilities on the basis of seismicity data mainly deriving from historic records. It provides a methodological approach useful for those countries where the scarcity of instrumental data and/or paleoseismological evidences requires that historical information shall be stressed. Thus, the conditional probability that damaging earthquakes (M ‡ 6) may occur in Italy in the next 30 years is shown, and the potential for the main worldwide known Italian cities with a cultural heritage is outlined. Earthquake probabilities are computed referring to the application of renewal processes, where the periodicity is analytically modelled by means of the Brownian Passage Time function; an estimate of the dispersion (i.e., uncertainty) introduced on probabilities is provided making use of Monte Carlo simulations. The computed probabilities refer to seismic source zones deriving from the spatial clustering of the historically documented seismicity. The computation of probabilities based on the interaction of earthquakes occurring in nearby zones, has been also attempted for a test area to explore the influence exerted by the stress transfer effect. The main findings of this study are that (1) seismic source zones in Southern Italy are the most prone to experience damaging earthquakes in the next 30-years, with conditional probabilities a large as 10%; and (2) the influence exerted by the earthquake interaction in increasing such probabilities, doesn't seem to be relevant, because the mean recurrence times of large earthquakes (above the threshold magnitude of six chosen in this study) are in general much longer than the time shortening produced by the stress transfer.

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“…1) was VIII (MM) in the epicentral area of about 170 km 2 (Gao et al 2005). Moreover, using a paleoearthquake magnitude range from 6.6 to 7.5, the epicentral intensity is estimated to be from about X to less than XII (MM) using the simple equation of epicentral intensity (I o ) and surface wave magnitude (M s = 1.06 + 0.56 I o ± 0.37, Romeo and Pugliese 2000). Therefore, the intensity in the paleomeizoseismal area could reasonably have been larger than IX (MM), and seismic intensity in a majority of the Xilinhot district likely would be higher than VI (MM).…”

Section: Seismic Intensitymentioning

confidence: 99%

Significance of Prehistoric Liquefaction Features in the Xilinhot District, Inner Mongolia, Northern China

Du¹,

Fu²,

Guo³

et al. 2010

Terr. Atmos. Ocean. Sci.

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Paleo-ground ruptures, fissures, liquefaction and geomorphic features in the Xilinhot district, Inner Mongolia, northern China, are documented and seismic intensity for the meizoseismal areas and magnitudes of paleoearthquakes are estimated. Trenching investigations revealed a huge paleoseismic ground rupture and fissure zone with a width of more than 200 m. Field investigations and interpretation of remote sensing images demonstrate that active faults related to paleoearthquakes appear to be about 200 km long. Geologic and geomorphic evidences indicate that one large earthquake with a magnitude of about 7.5 at about 13 ka BP or multiple paleoseismic events of M ≥ 6.0 have occurred in the studied area since 53 ka BP. One of the paleo-meizoseismal areas is determined to be near Xilinhot. Seismic intensity in Modified Mercalli scale (MM) is estimated to be larger than VI in the vicinity of the study area and at least VIII in the epicentral region. This is consistent with seismic activities in and around the Xilinhot district in recent years, but higher than anything yet reported. The results provide important data for design engineering and regional planning in order to resist damage from potentially large earthquakes in the future.

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Seismicity, seismotectonics and seismic hazard of Italy

Cited by 32 publications

References 30 publications

Field observations from the Aquila, Italy earthquake of April 6, 2009

Field observations from the Aquila, Italy earthquake of April 6, 2009

Earthquake Hazard in Italy, 2001–2030

Significance of Prehistoric Liquefaction Features in the Xilinhot District, Inner Mongolia, Northern China

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