Seismic Site Condition of Mainland China from Geology

Chen, Guihua; Magistrale, Harold; Cheng, Jia; Binselam, Sait Ahmet; Xu, Xiwei

doi:10.1785/0220180370

Cited by 8 publications

(27 citation statements)

References 29 publications

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“…Generally, the proportion of class C (D) sites obtained in this study is substantially higher (lower) than that given by Chen et al (2021). This reflects the large area of the Holocene-Upper Pleistocene units in the Tarim Basin that are assigned to class C in this study based on the statistical results of the collected boreholes, whereas they are assigned to class D in the study by Chen et al (2021). Similarly, the Holocene-Upper Pleistocene pluvial units and Upper Pleistocene composite units around the Junggar Basin are assigned in the same way.…”

Section: Comparison With Other Schemescontrasting

confidence: 78%

“…Table 4 lists the areal percentage of each site class within the entire region determined by each of the three schemes. Generally, the proportion of class C (D) sites obtained in this study is substantially higher (lower) than that given by Chen et al (2021). This reflects the large area of the Holocene-Upper Pleistocene units in the Tarim Basin that are assigned to class C in this study based on the statistical results of the collected boreholes, whereas they are assigned to class D in the study by Chen et al (2021).…”

Section: Comparison With Other Schemescontrasting

confidence: 53%

“…Similarly, the Holocene-Upper Pleistocene pluvial units and Upper Pleistocene composite units around the Junggar Basin are assigned in the same way. However, in the CM area, the proportion of class C (B) sites obtained in this study is much lower (higher) than that given by Chen et al (2021). This reflects that the Middle Pliocene-Early Pleistocene units (rocks with thin soil, residual, diluent, piedmont diluent, and glacial till) are assigned to class B in both studies according to the geological map, but subsequently reassigned to class C in accordance with the Quaternary sedimentary map by Chen et al (2021).…”

Section: Comparison With Other Schemescontrasting

confidence: 53%

“…In this regard, the purpose of this study was to collect engineering borehole data and 1:500,000 geological map data of these two typical regions in China, and to propose a new site classification scheme based on geological age, genesis, borehole statistics, and lithological description. Correlations between geological age, genesis, and site class were established, and the effectiveness and success in recognizing real site classes using this approach were validated through comparison of the derived classification results with those obtained by Chen et al (2021) and those derived using the topographic slope-based method proposed by Zhang et al (2022). Moreover, the applicability of the results outside the study area was also confirmed.…”

Section: Introductionmentioning

confidence: 99%

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Site classification scheme based on geological age and genesis for Xinjiang and the Capital Metropolitan areas of China

Ren,

Zhang,

et al. 2023

Earthquake Spectra

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The site classification map is one of the vital inputs in earthquake disaster scenario prediction and risk modeling that provides a perspective of proxy-based methods. In China, a systematic empirical relationship between geological age, genesis, and site class in the practice of site classification has yet to be established. In this study, data from 1:500,000 geological maps and thousands of engineering boreholes in the Xinjiang Uygur Autonomous Region and the Capital Metropolitan area in China were collected, and different types of geological unit were classified according to 10 types of geological age and 18 types of geological genesis. A site classification scheme was proposed on the basis of geological age, geological genesis, statistical properties of boreholes, and lithological descriptions. Borehole characteristics were investigated in terms of their proportions among the different site classes, and the mean and standard deviation of V S30. Accordingly, a chart correlating four site classes (B, C, D, and E) with each type of geological age and genesis was developed that could be used as a practical tool in regional site classification. Site classification maps were delineated in both areas using the proposed scheme and compared with those derived from the topographic slope-proxy method and another geology-proxy method, and the results showed that it is effective in identifying the site class, especially for class E sites, and probably class B that inferred by the qualitative evaluation. Moreover, the applicability of the method has also been confirmed in areas outside the study area. It is anticipated that it could provide a technical template for nationwide site classification using geological maps.

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Section: Comparison With Other Schemescontrasting

confidence: 78%

Section: Comparison With Other Schemescontrasting

confidence: 53%

Section: Comparison With Other Schemescontrasting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Site classification scheme based on geological age and genesis for Xinjiang and the Capital Metropolitan areas of China

Ren,

Zhang,

et al. 2023

Earthquake Spectra

View full text Add to dashboard Cite

show abstract

“…As site effects are mainly driven by superficial geology and topography conditions, Digital Elevation Models (DEMs) and geological maps are fundamental data sets that have been widely used to assess site response mapping at regional scale (e.g., Wald and Allen 2007;Thompson et al 2014;Forte et al 2019;Chen et al 2021;Silva et al 2020). Recent papers have developed alternative methodologies based on both geological and DEM information to derive site effects proxies (mainly the V S30 parameter and/or the building code soil classes) at regional scale.…”

Section: Modelling Site Response At Regional Scale-current Practices ...mentioning

confidence: 99%

Modelling site response at regional scale for the 2020 European Seismic Risk Model (ESRM20)

Weatherill

Crowley

Roullé

et al. 2022

Bull Earthquake Eng

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Quantitative estimation of seismic risk over a region requires both an underlying probabilistic seismic hazard model and a means to characterise shallow site response over a large scale. The 2020 European Seismic Risk Model (ESRM20) builds on the 2020 European Seismic Hazard Model (ESHM20), requiring additional information to firstly parameterise the local site condition across all of Europe, and subsequently determine its influence on the prediction of seismic ground motion. Initially, a harmonised digital geological database for Europe is compiled, alongside a model of topographic/bathymetric elevation and a database of 30 m averaged shearwave velocity measurements ($$V_{S30}$$ V S 30 ), in order to produce separate 30 arc-second maps of inferred $$V_{S30}$$ V S 30 based on topography and on geology. We then capitalise on a large database of seismic recording stations in Europe for which site-to-site ground motion residuals ($$\delta S2S_{S}$$ δ S 2 S S ) have been determined with respect to the shallow crustal ground motion model used in the ESHM20. These residuals allow us to incorporate site amplification functions into the European GMM calibrated upon either observed or inferred $$V_{S30}$$ V S 30 , or on the European geology and topography models. We present the resulting pan-European seismic site amplification model and assess its impact on seismic hazard and risk compared against other approaches. The new site amplification model fulfils the requirements of the ESRM20 and, providing uncertainty is fully propagated, yields estimates of seismic hazard and risk at a large space scale that may be comparable to other methods often applied at local/urban scale where better-constrained site information is available.

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VS30-based relationship for Chinese site classification

Xie

et al. 2023

Engineering Geology

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Seismic Site Condition of Mainland China from Geology

Cited by 8 publications

References 29 publications

Site classification scheme based on geological age and genesis for Xinjiang and the Capital Metropolitan areas of China

Site classification scheme based on geological age and genesis for Xinjiang and the Capital Metropolitan areas of China

Modelling site response at regional scale for the 2020 European Seismic Risk Model (ESRM20)

VS30-based relationship for Chinese site classification

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