Equations for the Estimation of Strong Ground Motions from Shallow Crustal Earthquakes Using Data from Europe and the Middle East: Horizontal Peak Ground Acceleration and Spectral Acceleration

Ambraseys, N. N.; Douglas, John; Sarma, S. K.; Smit, Patrick M.

doi:10.1007/s10518-005-0183-0

Cited by 447 publications

(428 citation statements)

References 45 publications

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“…M w has been converted to M JMA for use with the model of Lussou et al [2001] by using Equation 24 of Fukushima [1996]. Ambraseys et al [2005], Boore et al [1997] and Spudich et al [1999] the relation is only compared to data from such sites. All stations have been classified into the site classes used within the ground-motion models, e.g.…”

Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

“…All stations have been classified into the site classes used within the ground-motion models, e.g. soft soil, stiff soil and rock for the model of Ambraseys et al [2005]. The goodness-of-fit measures are computed using PGA and spectral accelerations at all periods between 0.1 and 2 s for which ground-motion estimates are given by the selected models, in accordance with the approach followed by Scherbaum et al…”

Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

“…One possible reason for lower average ground motions is that most of the data used here comes from normal faulting earthquakes, which generally show slightly weaker ground motions than those from strike-slip and reverse earthquakes [e.g. Bommer et al, 2003] and this difference is not explicitly modelled by any of the chosen ground-motion models except for Ambraseys et al [2005]. However, this is unlikely to be a significant factor since the effect of style-of-faulting is generally quite small [Bommer et al, 2003].…”

Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

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A preliminary investigation of strong-motion data from the French Antilles

et al. 2006

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Strong-motion networks have been operating in the Caribbean region since the 1970s, however, until the mid-1990s only a few analogue stations were operational and the quantity of data recorded was very low. Since the mid-1990s, digital accelerometric networks have been established on islands within the region. At present there are thought to be about 160 stations operating in this region with a handful on Cuba, 65 on the French Antilles (mainly Guadeloupe and Martinique), eight on Jamaica, 78 on Puerto Rico (plus others on adjacent islands) and four on Trinidad.After briefly summarising the available data from the Caribbean islands, this article is mainly concerned with analysing the data that has been recorded by the networks operating on the French Antilles in terms of their distribution with respect to magnitude, source-to-site distance, focal depth and event type; site effects at certain stations; and also with respect to their predictability by ground motion estimation equations developed using data from different regions of the world. More than 300 good quality triaxial acceleration time-histories have been recorded on Guadeloupe and Martinique at a large number of stations from earthquakes with moment magnitudes larger than 4.8, however, most of the records are from considerable source-to-site distances. From the data available it is found that many of the commonly-used ground motion estimation equations for shallow crustal earthquakes poorly estimate the observed ground motions on the two islands; ground motions on Guadeloupe and Martinique have smaller amplitudes and are more variable than expected. This difference could be due to regional dependence of ground motions because of, for example, differing tectonics or crustal structures or because the ground motions so far recorded are, in general, from smaller earthquakes and greater distances than the range of applicability of the investigated equations.

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Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

Section: Shallow Crustal Earthquakesmentioning

confidence: 99%

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A preliminary investigation of strong-motion data from the French Antilles

et al. 2006

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“…The first approach focuses on the regional datasets to estimate ground motions (e.g., Massa et al 2008;Bragato and Slejko 2005). The second approach uses country-based datasets (e.g., Bindi et al 2011), whereas the third group of model developers combines data from different countries in and around Europe (e.g., Ambraseys et al 2005). (In some cases supplementary strongmotion data from USA or Japan are also used by the third group modelers).…”

Section: Introductionmentioning

confidence: 99%

“…The converse of this argument is also defendable: local GMPEs do not show reduced aleatory variability to speculate lesser contamination in their data. Figure 12.2 compares the period-dependent sigma trends between NGA-West1 4 (Power et al 2008), NGA-West2 4 ) and the most recent pan-European GMPEs (Akkar et al 2014c;Bindi et al 2014;Akkar and Bommer 2010;Ambraseys et al 2005). NGA-West1 and NGA-West2 GMPEs use wide spread shallow active crustal ground motions mainly from California, Taiwan (NGA-West1) and additionally from Japan, China and New Zealand (NGA-West2).…”

Section: Introductionmentioning

confidence: 99%

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

Akkar

Kale

2015

Perspectives on European Earthquake Engineering and Seismology

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This paper summarizes the evolution of major strong-motion databases and ground-motion prediction equations (GMPEs) for shallow active crustal regions (SACRs) in Europe and surrounding regions. It concludes with some case studies to show the sensitivity of hazard results at different seismicity levels and exceedance rates for local (developed from country-specific databases) and global (based on databases of multiple countries) GMPEs of the same region. The case studies are enriched by considering other global GMPEs of SACRs that are recently developed in the USA. The hazard estimates computed from local and global GMPEs from the broader Europe as well as those obtained from global GMPEs developed in the US differ. These differences are generally significant and their variation depends on the annual exceedance rate and seismicity. Current efforts to improve the accelerometric data archives in the broader Europe as well as more refined GMPEs that will be developed from these databases would help the researchers to understand the above mentioned differences in seismic hazard.

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Earthquake‐induced soft‐sediment deformations and seismically amplified erosion rates recorded in varved sediments of Köyceğiz Lake (SW Turkey)

et al. 2016

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Earthquake‐triggered landslides amplify erosion rates in catchments, i.e., catchment response (CR) to seismic shocks. In addition to historical eyewitness accounts of muddy rivers implying CRs after large earthquakes, several studies have quantitatively reported increased sediment concentrations in rivers after earthquakes. However, only a few paleolimnological studies could detect CRs within lacustrine sedimentary sequences as siliciclastic‐enriched intercalations within background sedimentation. Since siliciclastic‐enriched intercalations can easily be of nonseismic origin, their temporal correlation with nearby earthquakes is crucial to assign a seismic triggering mechanism. In most cases, either uncertainties in dating methods or the lack of recent seismic activity has prevented reliable temporal correlations, making the seismic origin of observed sedimentary events questionable. Here we attempt to remove this question mark by presenting sedimentary traces of CRs in the 370‐year‐long varved sequence of Köyceğiz Lake (SW Turkey) that we compare with estimated peak ground acceleration (PGA) values of several nearby earthquakes. We find that earthquakes exceeding estimated PGA values of ~20 cm/s2 can induce soft‐sediment deformations, while CRs seem only to be triggered by PGA levels higher than 70 cm/s2. In Köyceğiz Lake, CRs produce Cr‐ and Ni‐enriched sedimentation due to the seismically mobilized soils derived from ultramafic rocks in the catchment. Given the varve chronology, the residence time of the seismically mobilized material in the catchment is determined to be 5 to 10 years.

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Equations for the Estimation of Strong Ground Motions from Shallow Crustal Earthquakes Using Data from Europe and the Middle East: Horizontal Peak Ground Acceleration and Spectral Acceleration

Cited by 447 publications

References 45 publications

A preliminary investigation of strong-motion data from the French Antilles

A preliminary investigation of strong-motion data from the French Antilles

Developments in Ground Motion Predictive Models and Accelerometric Data Archiving in the Broader European Region

Earthquake‐induced soft‐sediment deformations and seismically amplified erosion rates recorded in varved sediments of Köyceğiz Lake (SW Turkey)

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