摘要
Regional characterization of soil properties requires not only geostatistical models considering the spatial variability of soil properties but also methods that account for various sources of heterogeneous information.This paper presents a multi-conditional random field approach to characterize the regional characteristics of the average shear-wave velocity in the top 30 meters of subsoil(vs30)based on hybrid geotechnical and geological data.The workflow for integrating multiple sources of soil properties information in a random field model for regional vs30 mapping is developed.A detailed two-dimensional(2D)synthetic digital soil field is generated to assess and verify this workflow.With the generated synthetic field,parametric studies on the investigation plans,the value of Markov Bayes coefficient B,element size,and a predefined grid of secondary data are performed.Practice on whether to incorporate secondary data for vs30 mapping and the determination of coefficient B are provided.
基金
supported by the National Natural Science Foundation of China(Grant No.5210082052)
the Zhejiang Provincial Natural Science Foundation,China(Grant No.LQ22E080028)
the Science Foundation of Zhejiang Sci-Tech University,China(Grant No.19052459-Y).