| Issue |
E3S Web Conf.
Volume 648, 2025
International Conference on Civil, Environmental and Applied Sciences (ICCEAS 2025)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 8 | |
| Section | Civil Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202564801012 | |
| Published online | 08 September 2025 | |
Disclosing soil properties between boreholes by spatial interpolation techniques
1 International Educational Corporation, LLP, 050043 Almaty, Kazakhstan
2 Department of Architecture and Construction Production, Korkyt Ata Kyzylorda University, 120000 Kyzylorda, Kazakhstan
3 School of Architecture, Civil Engineering and Energy, D. Serikbayev East Kazakhstan Technical University, 070004 Ust-Kamenogorsk, Kazakhstan
4 Solid Research Group, LLP, 010000 Astana, Kazakhstan
* Corresponding author: karaulovsabit1997@gmail.com
This study examines methods for interpolating geotechnical soil characteristics based on borehole data using the ArcGIS Pro geographic information system. Three methods were applied: Inverse Distance Weighting (IDW), Ordinary Kriging (OK), and Empirical Bayesian Kriging (EBK), each with its own features and areas of application. The results showed that EBK provided the most accurate interpretation of geotechnical data, especially under conditions of a limited borehole grid. Visualization of the interpolated values using heat maps demonstrated a high level of detail and consistency with actual geotechnical conditions. Comparison with traditional methods such as IDW and OK showed that EBK is more capable of accurately reproducing the spatial variability of soil characteristics and takes into account the specifics of their distribution at various depths.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.