Site classification for National Strong Motion Observation Network System (NSMONS) stations in China using an empirical H/V spectral ratio method

Ji, Kun; Ren, Yefei; Wen, Ruizhi

doi:10.1016/j.jseaes.2017.07.032

Cited by 23 publications

(15 citation statements)

References 24 publications

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“…For the former, the range is between 6 and 8, while for the latter, the range is between 4 and 6. It is noted that the difference in H/V ratios is consistent with the measured Vs30 difference (e.g., Ji et al 2017).…”

Section: Hvsr Spectral Ratiosupporting

confidence: 83%

“…For the MASE station, the range of Tg is 0.112 to 0.118 seconds, while that for the TWSI station is 0.058 to 0.064 seconds. The ranges are relatively consistent with the Vs30 values for both locations (e.g., Ji et al, 2017).…”

Section: Strong Motion Datasupporting

confidence: 79%

“…It is noted that some previous studies showed that the presence of a large amplitude HVSR peak is related to a high impedance contrast between the sedimentary cover and the basement (Bard 1999;Bonnefoy-Claudet et al, 2006;Bonnefoy-Claudet et al, 2009), while a low amplitude peak is related to a lower contrast, indicating the presence of a hard soil (Woolery and Street 2002;Bonnefoy-Claudet et al, 2006;Bonnefoy-Claudet et al, 2009). It is noted that recent studies on the effects of local site characteristics on strong motions include Seyhan and Stewart (2014), Borcherdt (2015), Ji et al (2017), Pramono et al (2017), Prakoso et al (2017, as well as Mase (2018).…”

Section: Methodsmentioning

confidence: 96%

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Investigation of Ground Motion and Local Site Characteristics of the 2018 Lombok Earthquake Sequence

Pramono

Prakoso²,

Rohadi

et al. 2020

IJTech

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In 2018, Lombok Island was hit by a major earthquake sequence. The Indonesia Meteorological, Climatological, and Geophysics Agency (BMKG) reported that the Lombok Island earthquake sequence started with an Mw 6.4 foreshock, followed by an Mw 6.8 main shock, aftershocks of Mw 5.8 and Mw 6.2, and a second mainshock of Mw 6.9 in the eastern part of Lombok. This study presents an investigation of strong motion characteristics using the Indonesia National Strong Motion Network (INSMN) data from two accelerometer stations, the MASE station (at Praya Lombok International Airport, Lombok Island, Vs30 = 770 m/s, SB site class) and TWSI station (in Sumbawa Island, Vs30 = 1152 m/s, SB site class). Signal analysis techniques using a power spectrum via fast Fourier transform, wavelet transform and horizontal-to-vertical spectral ratio (HVSR) have been applied in this study. There are significant differences in the results (e.g., predominant frequencies, wavelets, H/V ratios, and frequencies at peak H/V ratio) for the MASE and TWSI stations, highlighting the importance of actual Vs30 profiles and the limitation of the site class system in providing necessary predictive information. The variation of the peak ground acceleration (PGA) values and the spectral amplitudes could only be explained by hypothesizing the effect of the volcanic structure of Mount Rinjani on the strong motion waveforms.

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Section: Hvsr Spectral Ratiosupporting

confidence: 83%

Section: Strong Motion Datasupporting

confidence: 79%

Section: Methodsmentioning

confidence: 96%

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Investigation of Ground Motion and Local Site Characteristics of the 2018 Lombok Earthquake Sequence

Pramono

Prakoso²,

Rohadi

et al. 2020

IJTech

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“…The V S30 values for most stations were not measured from the velocity profile with depth z p C 30 m. The V S30 values for some stations included in the NGA-West2 site database were Vol. 177, (2020) Observations on Regional Variability in Ground-Motion Amplitude 251 derived from the recommended values in this database Ji et al (2017). A flow chart was established to classify sites based on comprehensive factors of peak period, amplitude, and shape of the horizontal-to-vertical spectral ratio (HVSR) curves, which was used to determine the site classes for NSMONS stations.…”

Section: Overview Of Strong-motion Recordingsmentioning

confidence: 99%

Observations on Regional Variability in Ground-Motion Amplitude from Six Mw ~ 6.0 Earthquakes of the North–South Seismic Zone in China

Ren

Wen

et al. 2019

Pure Appl. Geophys.

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Observed ground-motion intensity for six earthquakes of M w = 6.0-6.2 that occurred in China's North-South Seismic Zone (NSSZ) was compared with predicted medians from the BSSA14 model. The resulting between-event (dB e ) and withinevent (dW es ) residuals for peak ground acceleration and pseudospectral acceleration up to 5.0 s were used to investigate the impact of source effects and path propagation on the regional variability in observed ground-motion amplitude within the NSSZ. Although the magnitude and fault type were similar among the six earthquakes, the results showed that their source effects were significantly different, which contributed in part to the regional variability in observed ground-motion amplitude. Estimated values for stress drop were found to mirror the trend in variation of the dB e values for short-period ground motions in the six earthquakes. This suggests that stress drop is an important factor for accurate representation of source effects and should be considered in the functional form of ground-motion prediction equations. Anelastic attenuation of ground motion was found to be considerably different in local areas of the NSSZ, which may constitute the primary reason for the regional variability in the observed ground-motion amplitude. The variation in dW es values confirmed that regional adjustment of anelastic attenuation in the BSSA14 model is applicable to some local areas (i.e., around the Longmenshan fault) but not to the NSSZ in its entirety.

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“…2(c) using error bars. The PGA values in the fifth-generation seismic hazard map refer to the Chinese Class II site category, which approximately covers the C and D boundary of the National Earthquake Hazards Reduction Program(Lu and Zhao, 2007;Ji et al, 2017). We also computed the larger of the 475-and 2475-year MRP PGA values divided by a factor of 1.9 for rock sites, which we then converted into Class II site results using the site amplification coefficients provided by the national standard(CEA, 2015).…”

mentioning

confidence: 99%

Deaggregation of Probabilistic Seismic Hazard and Construction of Pseudo-Exact Conditional Spectrum for China

Wen

Ren

et al. 2021

Preprint

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For mainland China, the primary obstacle in conditional spectrum (CS) based ground motion selection work is that the corresponding seismic hazard deaggregation results were not released for the China national standard GB 18306- 2015 “Seismic Ground Motion Parameter Zonation Map”, which refers to the fifth-generation seismic hazard map. Therefore, this study firstly constructed a probabilistic seismic hazard map for mainland China using the three level seismicity source models as applied to produce the fifth-generation seismic hazard map. The derived peak ground acceleration (PGA) values in our seismic hazard map were basically consistent with the fifth-generation seismic hazard map for most of the 34 principal Chinese cities considered. Then, three-dimensional deaggregation scheme was performed for PGA and 5%-damped spectral acceleration (Sa) corresponding to mean return periods of 475 and 2475 years. Based on the magnitude-longitude-latitude deaggregation results of three example cities: Xichang, Kunming, and Xi’an, approximate and pseudo-exact conditional spectrum were established with/without considering multiple casual earthquakes and possible strike directions of the potential source areas. The mean pseudo-exact CS lies between the results of approximate CS using long and short axis GMMs. The conditional standard deviation of pseudo-exact CS is approximately 1.1 to 1.5 times larger than the approximate CS for the periods away from the conditional period. For three example cities, hazard consistency of the spectral accelerations of the ground motion realizations matching target distribution of pseudo-exact CS and geometric mean approximate CS were evaluated and validated. Moreover, for the 34 studied cities, we tabulated the uniform hazard curve and deaggregation results for PGA and Sa values (0.2, 0.3, 0.5, 0.7, 1.0, 1.5, and 2.0s) at MRPs of 475 and 2475 years. (https://github.com/JIKUN1990/China-Seismic-Hazard-Deaggregation-34cities)

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Site classification for National Strong Motion Observation Network System (NSMONS) stations in China using an empirical H/V spectral ratio method

Cited by 23 publications

References 24 publications

Investigation of Ground Motion and Local Site Characteristics of the 2018 Lombok Earthquake Sequence

Investigation of Ground Motion and Local Site Characteristics of the 2018 Lombok Earthquake Sequence

Observations on Regional Variability in Ground-Motion Amplitude from Six Mw ~ 6.0 Earthquakes of the North–South Seismic Zone in China

Deaggregation of Probabilistic Seismic Hazard and Construction of Pseudo-Exact Conditional Spectrum for China

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