Vs30 interpolation in a data-deficient environment: engineering geological modeling and development prospects

A task is considered to construct distribution maps of the Vs30 parameter (the average shear-wave velocity in the upper 30 m of the subsurface) under conditions of limited initial data, using the city of Fergana as a case study. An analysis of regulatory requirements for observation-point density was carried out, revealing a significant mismatch between the required and the actual measurement density. To investigate how the density and geometry of observations affect interpolation quality, three Vs30 modeling scenarios were developed, reflecting different degrees of geological complexity. Interpolation was performed using four methods: Kriging, Minimum Curvature, Triangulation, and Inverse Distance to a Power (IDW). Based on qualitative and quantitative analyses, Kriging was found to provide the best agreement with the geological structure. Interpolation for the city of Fergana was carried out using all four methods, and their effectiveness was assessed. The study served as a basis for the subsequent application of machine-learning algorithms to automatically generate Vs30 maps from engineering-geological data.

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