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- W4316652589 abstract "Beijing is an international metropolis, that is also an earthquake-prone city. The aims of this study are detailed quantifying and qualifying soil layer properties for an accurate seismic safety evaluation in the Beijing area. The time average shear-wave velocity in the first 30 m of subsoil, V s30 , is an important site parameter used in site response analysis, site classification, and seismic loss estimation. Mapping of V s30 over a city-scaled region is commonly done through proxy-based methods by correlating V s30 with geological or topographic information. In this paper, a geostatistical-based random field model is presented and applied to mapping V s30 over extended areas. This random field model is then coupled with Monte Carlo simulations to obtain an averaged V s30 map and its associated uncertainties. Unlike the traditional deterministic prediction model, this framework accounts for spatial variations of V s30 values and uncertainties, which makes the prediction more reliable. A total of 388 shear wave velocity measurements in the Beijing area are used to calculate V s30 values, from which the statistical and spatial properties for the random field realizations are inferred. New spatially correlated probabilistic V s30 maps for the Beijing area are then represented, and the effect of the maximum number of previously generated elements to correlate to in estimating V s30 maps is tested." @default.
- W4316652589 created "2023-01-17" @default.
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- W4316652589 date "2023-01-17" @default.
- W4316652589 modified "2023-10-04" @default.
- W4316652589 title "Spatially correlated Vs30 estimation in the Beijing area" @default.
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- W4316652589 doi "https://doi.org/10.3389/feart.2022.950582" @default.
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