The article examines the problems and methods of predicting man-made land surface subsidence in zones influenced by underground mining excavations in salt deposits. An analysis of existing approaches to assessing vertical land surface displacements is carried out, and the potential of using mathematical approximation models (linear, exponential, and second-degree polynomial) is considered. Based on long-term geodetic monitoring data for ground benchmarks along profile lines of the "Novo-Golyn" mine (2021–2024), calculations of expected subsidence values are performed, and predicted subsidence trough maps are constructed. A comparative analysis of the predicted values against actual measurement results from 2025 is conducted. It has been shown that the choice of the optimal approximation function depends on the stage of the geodynamic process: the exponential model is most effective in subsidence-attenuation zones, the polynomial model in areas with increasing deformation rates, and the linear model under conditions of uniform surface settlement. The obtained results help improve the reliability of short-term forecasting and minimize infrastructure risks in mining territories.
- Bagheri-Gavkosh, M., Hosseini, S. M., Ataie-Ashtiani, B., Sohani, Y., Ebrahimian, H., Morovat, F., & Ashrafi, S. (2021). Land subsidence: A global challenge. Science of The Total Environment, 778, 146193. https://doi.org/10.1016/j.scitotenv.2021.146193
- Baran, P. I. (2012). Inzhenerna heheodeziia: monohrafiia [Engineering geodesy: monograph]. VIPOL. 618 p. (in Ukrainian)
- Bo, H., Lu, G., Li, H., Guo, G., & Li, Y. (2024). Development of a Dynamic Prediction Model for Underground Coal-Mining-Induced Ground Subsidence Based on the Hook Function. Remote Sensing, 16(2), 377. https://doi.org/10.3390/rs16020377
- Dobos, E., Kovács, I. P., Kovács, D. M., Ronczyk, L., Szűcs, P., Perger, L., & Mikita, V. (2022). Surface Deformation Monitoring and Risk Mapping in the Surroundings of the Solotvyno Salt Mine (Ukraine) between 1992 and 2021. Sustainability, 14(13), 7531. https://doi.org/10.3390/su14137531
- Gera, O., Oleskiv, R., Dorosh, L., Hrynishak, M., & Mykhailyshyn, V. (2025). Geodetic monitoring of the subsidence of a multi-storey building foundation. Budownictwo i Architektura, 24(3), 005–014. https://doi.org/10.35784/bud-arch.6827
- Kukhtar, D., Oleskiv, R., & Yavorska, D. (2025). Geodynamic Monitoring of the Earth’s Surface Over the Potash Salt Mine Deposits Using SAR Interferometry: A Case Study on Kalush Mine, Ukraine. In M. Lupa, T. Uhl, J. Staszel, K. Pargieła, & A. Malczewska (Eds.), Selected Proceedings of the 7th Space Resources Conference (pp. 139–146). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-91227-6_15
- Li, F., Liu, G., Tao, Q., & Zhai, M. (2022). Land subsidence prediction model based on its influencing factors and machine learning methods. https://doi.org/10.21203/rs.3.rs-1881099/v1
- Lian, X., Liu, X., Ge, L., Hu, H., Du, Z., & Wu, Y. (2021). Time-series unmanned aerial vehicle photogrammetry monitoring method without ground control points to measure mining subsidence. Journal of Applied Remote Sensing, 15(02). https://doi.org/10.1117/1.JRS.15.024505
- Shi, Y., Zhao, M., & Hao, J. (2021). Study on Numerical Models in Predicting Surface Deformation Caused by Underground Coal Mining. Geotechnical and Geological Engineering, 39(6), 4457–4473. https://doi.org/10.1007/s10706-021-01775-2