On the influence of site conditions and earthquake magnitude on ground-motion within-earthquake correlation: analysis of PGA data from TSMIP (Taiwan) network

Sokolov, Vladimir; Wenzel, Friedemann; Wen, Kuo‐Liang; Jean, Wen-Yu

doi:10.1007/s10518-012-9368-5

Cited by 33 publications

(30 citation statements)

References 52 publications

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“…associated with the used ground-motion prediction model) to estimate site-to-site correlation and to analyze possible differences between these estimations (e.g. Sokolov et al, 2012).…”

Section: Procedures Of Analysismentioning

confidence: 99%

“…Goda and Hong (2008a) and Jayaram and Baker (2009) considered the Chi-Chi earthquake and some Californian earthquakes, and Hong et al (2009) analyzed Californian data only. More recently, Goda andAtkinson (2009, 2010) used a large database collected in Japan (records from the K-NET and KiK-net strong-motion networks) to study spatial correlation for peak ground acceleration and pseudo-spectral acceleration at different periods from 0.1 to 5.0 s. Sokolov et al (2010Sokolov et al ( , 2012 analyzed characteristics of ground motion correlation using the database accumulated in Taiwan. The European Strong-Motion database (ESD) and the Italian Accelerometric Archive (ITACA) were used by Esposito and Iervolino (2011) for evaluation of the spatial correlation of PGA and peak ground velocity (PGV) residuals.…”

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

“…The NGA model based on worldwide data and average horizontal acceleration was used by Goda and Hong (2008a). Sokolov et al (2010Sokolov et al ( , 2012 considered the geometric averages of two horizontal peak amplitudes and the regional strong-motion prediction equation for peak ground acceleration. It has been shown that the difference relates to the frequency content of ground motion (Goda and Hong, 2008a;Baker and Jayaram, 2008).…”

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

“…On the other hand, the difference may be caused by regional peculiarities (Goda and Atkinson, 2009). Analysis of the within-earthquake correlation in Taiwan (Sokolov et al, 2010(Sokolov et al, , 2012 indicates that the correlation structure is highly dependent on local geology and on peculiarities of propagation path (azimuth-dependent attenuation). Application of region-or sitedependent correction reduces the within-earthquake correlation, especially at large distances.…”

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

“…However, it is necessary to bear in mind that the ground-motion correlation, in principle, depends on the chosen ground-motion model and the within-earthquake correlation structure may depend on local geology as well on azimuthdependent attenuation along the propagation path (e.g. Sokolov et al, 2010Sokolov et al, , 2012. Thus, a single generalized model of spatial correlation may not be adequate for some cases.…”

Section: © Woodhead Publishing Limited 2013mentioning

confidence: 99%

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Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure

Sokolov¹,

Wenzel²

2013

Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

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“…associated with the used ground-motion prediction model) to estimate site-to-site correlation and to analyze possible differences between these estimations (e.g. Sokolov et al, 2012).…”

Section: Procedures Of Analysismentioning

confidence: 99%

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

Section: Estimation Of Correlation Models From Empirical Datamentioning

confidence: 99%

Section: © Woodhead Publishing Limited 2013mentioning

confidence: 99%

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Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure

Sokolov¹,

Wenzel²

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Handbook of Seismic Risk Analysis and Management of Civil Infrastructure Systems

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Ground motion spatial correlation fitting methods and estimation uncertainty

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Chen

2020

Earthq Engng Struct Dyn

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Ground shaking intensity varies spatially in earthquakes, and many studies have estimated correlations of intensity from past earthquake data. This paper presents a framework for quantifying uncertainty in the estimation of correlations and true variability in correlations from earthquake to earthquake. A procedure for evaluating estimation uncertainty is proposed and used to evaluate several methods that have been used in past studies to estimate correlations. The results indicate that a weighted least squares algorithm is most effective in estimating spatial correlation models and that earthquakes with at least 100 recordings are needed to produce informative earthquake-specific estimates of spatial correlations. The proposed procedure is also used to distinguish between estimation uncertainty and the true variability in model parameters that exist in a given data set. The estimation uncertainty is seen to vary between well-recorded and poorly recorded earthquakes, whereas the true variability is more stable.

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Spatial correlation of broadband ground motions from physics‐based numerical simulations

Infantino

Smerzini

Lin

2021

Earthq Engng Struct Dyn

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This study assesses the spatial correlation of broadband earthquake ground motions from 3D physics-based numerical simulations in near-source conditions. State-of-the-art models for predicting the spatial correlation are derived from wide datasets including densely recorded earthquakes in different areas worldwide and, therefore, they may be poorly representative of specific regions and near-source effects. A large set of broadband ground motions simulated by the SPEED code, and enriched in the high-frequency range with an Artificial Neural Network technique, is used to investigate the sensitivity of crucial parameters in geostatistical analysis (number of receivers), as well as of source, path, and site effects on spatial correlation, with a level of detail which could not be possible otherwise due to the paucity of recordings. First of all, the comparison of our results with those derived from earthquake recordings validates successfully the numerical approach in predicting the spatial correlation in a broad frequency range. Furthermore, the study points out that spatial correlation of response spectral accelerations is significantly affected by the magnitude, forward directivity effects, ground-motion directionality (fault normal versus fault parallel), and relative position from the causative fault. These features may make critical the use of isotropic and stationary models especially in near-fault conditions.

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On the influence of site conditions and earthquake magnitude on ground-motion within-earthquake correlation: analysis of PGA data from TSMIP (Taiwan) network

Cited by 33 publications

References 52 publications

Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure

Spatial correlation of ground motions in estimating seismic hazards to civil infrastructure

Ground motion spatial correlation fitting methods and estimation uncertainty

Spatial correlation of broadband ground motions from physics‐based numerical simulations

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