A Site-Conditions Map for California Based on Geology and Shear-Wave Velocity

Wills, Christopher; Petersen, Mark D.; Bryant, William A; Reichle, Michael; Saucedo, George J.; Tan, S.; Taylor, Greg J.; Treiman, Jerry

doi:10.1785/0120000503

Cited by 291 publications

(279 citation statements)

References 18 publications

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“…The obtained classification has to be understood as a relative classification. Using the geological map of France at the scale 1/1,000,000 (Bureau de Recherques Géologiques, 1996), we classified surface geology in terms of "hard rock," "soft rock," and "firm soil" (Campbell, 1997;Petersen et al, 1997;Park and Elrick, 1998;Wald et al, 1999b;Wills et al, 2000):…”

Section: Accounting For Geological Conditionsmentioning

confidence: 99%

“…Although the classification of geological units could be refined, these geologically defined units are expected to have distinct shear-wave velocity properties (Wills et al, 2000). Velocity characteristics remain very variable in each geological unit, but shear-wave velocity measurements and more detailed geological mapping would be necessary to account more accurately for local conditions.…”

Section: Accounting For Geological Conditionsmentioning

confidence: 99%

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A Probabilistic Approach to Seismic Hazard in Metropolitan France

Marin

Avouac

Nicolas

et al. 2004

Bulletin of the Seismological Society of America

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In this study, we applied a probabilistic methodology to seismic hazard assessment in metropolitan France. For that purpose we determined an attenuation law adapted to the French context. This law holds for peak ground acceleration on stiff bedrock for earthquakes with local magnitudes between 2.5 and 5.6 recorded in near field (at distances between 3 and 50 km). Geological conditions are taken into account by means of a three-categories classification of lithologies based on a 1/

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Section: Accounting For Geological Conditionsmentioning

confidence: 99%

Section: Accounting For Geological Conditionsmentioning

confidence: 99%

A Probabilistic Approach to Seismic Hazard in Metropolitan France

Marin

Avouac

Nicolas

et al. 2004

Bulletin of the Seismological Society of America

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“…Several methods for classifying soils and rock based on their site-dependent amplification properties have been proposed [7][8][9][10][11]. For example, the site amplification can be characterized using the average SWV to a depth equal to one quarter of the wavelength of the dominant frequency of interest [9].…”

Section: Nehrp Site Classification and Soil Amplificationmentioning

confidence: 99%

NEHRP Site Classification and Preliminary Soil Amplification Maps of Lamphun City, Northern Thailand

Thitimakorn

Raenak

2016

Open Geosciences

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Abstract:The primary goal of this study is to generate the NEHRP soil classification map for Lamphun City using the average shear wave velocity values (Vs (30) ) derived from the multi-channel analysis of surface wave (MASW) data. The secondary goal is to use the Vs (30) data to create the preliminary site amplification map of the city. For this work, multi-channel surface wave seismic data were acquired at 48 preselected sites in the Lamphun City area, northern Thailand. After generating the NEHRP map, soil class D is found to be present mostly in the northern part of the area, while soil class C is found mostly in the southern part. A major part of the Lamphun City is located on soil class D. The soil amplification map indicates higher amplification in the east, north and west of the city, where the soils consisted of mostly soft sediments from the alluvial plain and river terrace. The central and south eastern parts of Lamphun City had a relatively low amplification, perhaps because the sediment in this part is relatively thin or the bedrock is shallow. The results of study imply that the major part of Lamphun city may experience earthquake ground shaking due to amplification of the soft soils.

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“…The set includes, for example, the 1994 M 6.7 Northridge and the 1999 M 7.1 Hector Mine earthquakes. We employ the V S30 values at the CISN stations taken from Wills et al (2000) that are also used in the Californian ShakeMaps (Wald et al, 1999).…”

Section: Appendix B Datasetmentioning

confidence: 99%

Rapid Estimation of Earthquake Source and Ground-Motion Parameters for Earthquake Early Warning Using Data from a Single Three-Component Broadband or Strong-Motion Sensor

Böse¹,

Heaton²,

Hauksson³

2012

Bulletin of the Seismological Society of America

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We propose a new algorithm to rapidly determine earthquake source and ground-motion parameters for earthquake early warning (EEW). This algorithm uses the acceleration, velocity, and displacement waveforms of a single three-component broadband (BB) or strong-motion (SM) sensor to perform real-time earthquake/noise discrimination and near/far source classification. When an earthquake is detected, the algorithm estimates the moment magnitude M, epicentral distance Δ, and peak ground velocity (PGV) at the site of observation. The algorithm was constructed by using an artificial neural network (ANN) approach. Our training and test datasets consist of 2431 three-component SM and BB records of 161 crustal earthquakes in California, Japan, and Taiwan with 3:1 ≤ M ≤ 7:6 at Δ≤ 115 km. First estimates become available at t 0 0:25 s after the P pick and are regularly updated. We find that displacement and velocity waveforms are most relevant for the estimation of M and PGV, while acceleration is important for earthquake/noise discrimination. Including site corrections reduces the errors up to 10%. The estimates improve by an additional 10% if we use both the vertical and horizontal components of recorded ground motions. The uncertainties of the predicted parameters decrease with increasing time window length t 0 ; larger magnitude events show a slower decay of these uncertainties than small earthquakes. We compare our approach with the τ c algorithm and find that our prediction errors are around 60% smaller. However, in general there is a limitation to the prediction accuracy an EEW system can provide if based on single-sensor observations.

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A Site-Conditions Map for California Based on Geology and Shear-Wave Velocity

Cited by 291 publications

References 18 publications

A Probabilistic Approach to Seismic Hazard in Metropolitan France

A Probabilistic Approach to Seismic Hazard in Metropolitan France

NEHRP Site Classification and Preliminary Soil Amplification Maps of Lamphun City, Northern Thailand

Rapid Estimation of Earthquake Source and Ground-Motion Parameters for Earthquake Early Warning Using Data from a Single Three-Component Broadband or Strong-Motion Sensor

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