Equations for Estimating Horizontal Response Spectra and Peak Acceleration from Western North American Earthquakes: A Summary of Recent Work

Boore, David M.; Joyner, William B.; Fumal, Thomas E.

doi:10.1785/gssrl.68.1.128

Cited by 949 publications

(533 citation statements)

References 48 publications

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“…On the basis of these favorable predictive comparisons and owing to the geological and geo-tectonic similarity of Anatolia to the California (Strike slip faults similar to North and East Anatolian Faults) and Nevada (Basin and Range region is similar to Aegean Region) we found it to be rational and prudent to utilize, the average of the results obtained from Boore [31], Sadigh [32] and Campbell [33] attenuation relationships for the computation of Peak Ground Acceleration and the average of Boore [31] and Sadigh [32] attenuation relationships for the computation of Spectral Accelerations at 0.2s and 1s (Ss and S1). Same attenuation relationships have been used for the assessment of earthquake hazard for the Western US Leyendecker [34].…”

Section: Attenuation Relationshipsmentioning

confidence: 98%

Earthquake hazard in Marmara Region, Turkey

Erdik

Demircioğlu

Şeşetyan

et al. 2004

Soil Dynamics and Earthquake Engineering

163

112

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Section: Attenuation Relationshipsmentioning

confidence: 98%

Earthquake hazard in Marmara Region, Turkey

Erdik

Demircioğlu

Şeşetyan

et al. 2004

Soil Dynamics and Earthquake Engineering

163

112

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show abstract

“…Step 2 of PSHA often involves empirical analysis of existing data to determine ground motion (e.g., Boore et al, 1997). Various aspects of PSHA have been discussed by a number of authors, including the distinction between aleatory and epistemic uncertainty (Toro et al, 1997;Anderson and Brune, 1999;Anderson et al, 2000), use of synthetic earthquake catalogs (Ward, 1991(Ward, , 1996(Ward, , 2000, Monte Carlo methods (Savage, 1991(Savage, , 1992Cramer et al, 1996;Ebel and Kafka, 1999), and logic trees (Coppersmith and Youngs, 1986), application to fault rupture hazards (Youngs et al, 2003), and deaggregation of probabilistic results (Harmsen and Frankel, 2001).…”

Section: Probabilistic Tsunami Hazard Analysis (Ptha)mentioning

confidence: 99%

Probabilistic Analysis of Tsunami Hazards*

2006

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Abstract. Determining the likelihood of a disaster is a key component of any comprehensive hazard assessment. This is particularly true for tsunamis, even though most tsunami hazard assessments have in the past relied on scenario or deterministic type models. We discuss probabilistic tsunami hazard analysis (PTHA) from the standpoint of integrating computational methods with empirical analysis of past tsunami runup. PTHA is derived from probabilistic seismic hazard analysis (PSHA), with the main difference being that PTHA must account for far-field sources. The computational methods rely on numerical tsunami propagation models rather than empirical attenuation relationships as in PSHA in determining ground motions. Because a number of source parameters affect local tsunami runup height, PTHA can become complex and computationally intensive. Empirical analysis can function in one of two ways, depending on the length and completeness of the tsunami catalog. For sitespecific studies where there is sufficient tsunami runup data available, hazard curves can primarily be derived from empirical analysis, with computational methods used to highlight deficiencies in the tsunami catalog. For region-wide analyses and sites where there are little to no tsunami data, a computationally based method such as Monte Carlo simulation is the primary method to establish tsunami hazards. Two case studies that describe how computational and empirical methods can be integrated are presented for Acapulco, Mexico (site-specific) and the U.S. Pacific Northwest coastline (region-wide analysis).

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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%

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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Equations for Estimating Horizontal Response Spectra and Peak Acceleration from Western North American Earthquakes: A Summary of Recent Work

Cited by 949 publications

References 48 publications

Earthquake hazard in Marmara Region, Turkey

Earthquake hazard in Marmara Region, Turkey

Probabilistic Analysis of Tsunami Hazards*

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

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