Abstract
Borehole logs are important geospatial data for understanding subsurface geological and geotechnical conditions. Recently, many borehole logs in urban areas have been open to the public on the Internet in machine-readable file format. However, a few simple methods allow us to construct a voxel model of geological and geotechnical characteristics with high objectivity of the modeling process. Our work aims to develop a simple method that facilitates the use of open borehole logs in geological and geotechnical investigations in urban areas. In this paper, we propose a voxel modeling method of geotechnical data using the machine-readable open borehole logs. The method is designed to construct voxel models of lithofacies and standard penetration test results by stacking a series of horizontal two-dimensional grid data that are created by natural neighbor interpolation using geotechnical data stored in borehole logs at regular elevation intervals. A test calculation to evaluate the proposed method was performed using a large number of borehole logs in the Tokyo metropolitan area, Japan. Results confirmed that the proposed method not only allows us to ensure the objectivity of the modeling process but also provides a good overview of the three-dimensional distribution pattern of the subsurface geotechnical characteristics without any setting of complicated calculation parameters. In conclusion, the proposed method improves the efficiency of geological analyses, such as stratigraphic correlation using borehole logs, and facilitates the use of open borehole logs in urban areas.
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Acknowledgments
The authors thank Toshio Nakayama for helping with the use of borehole logs in the Tokyo metropolitan area. This work was supported by JSPS KAKENHI Grant Number JP19K04004.
Funding
This work was supported by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number JP19K04004.
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Nonogaki, S., Masumoto, S., Nemoto, T. et al. Voxel modeling of geotechnical characteristics in an urban area by natural neighbor interpolation using a large number of borehole logs. Earth Sci Inform 14, 871–882 (2021). https://doi.org/10.1007/s12145-021-00600-x
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DOI: https://doi.org/10.1007/s12145-021-00600-x