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Abstract

Summary

The hybrid seismic approach, using generated surface waves, enables early detection of subsurface cavities, supporting proactive risk mitigation in mining.

It provides high-resolution shear-wave velocity (Vs) models, allowing precise identification of weak or unstable zones.

The method reduces acquisition and processing time, improving operational efficiency in active mining environments.

It eliminates the need for long recording periods and complex source synchronization, simplifying field logistics.

The approach is adaptable to dynamic and space-constrained mining sites, making it practical for continuous monitoring.

It integrates easily with existing geotechnical monitoring systems, enhancing overall hazard detection capabilities.

Early and accurate imaging of subsurface anomalies helps prevent surface failures and supports safer mine planning.

The hybrid method improves both vertical and lateral resolution, outperforming traditional seismic techniques.

By enabling rapid, detailed assessments, it aids informed decision-making for geohazard management.

This technique strengthens short- and medium-term monitoring strategies, contributing to safer and more resilient mining operations.

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/content/papers/10.3997/2214-4609.202520236
2025-09-07
2026-02-15
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References

  1. Bardainne, T., Cai, C., Rebert, T., Tarnus, R. and Allemand, T. [2023a]. Passive Seismic Monitoring Using Trains as Sources to Characterize Near-Surface and Prevent Sinkholes, 84th EAGE Annual conference, 2023.
    [Google Scholar]
  2. Bardainne, T., Tarnus, R., Vivin, L., Cai, C., Rebert, T., Allemand, T., and Toubiana, H. [2023b]. Stimulated Noise and Surface Wave Interferometry Processing for Hybrid Seismic Imaging: 29th European Meeting of Environmental and Engineering Geophysics, 2023, 1–5.
    [Google Scholar]
  3. Campillo, M. and Paul, A., [2003]. Long-range correlations in the diffuse seismic coda, Science, 299(5606), 547. 18, 87.
    [Google Scholar]
  4. Dou, S., Lindsey, N., Wagner, A.M. [2017]. Distributed Acoustic Sensing for Seismic Monitoring of The Near Surface: A Traffic-Noise Interferometry Case Study. Nature, Sci Rep7, 11620.
    [Google Scholar]
  5. Loupasakis, C., Angelitsa, V., Rozos, D., & Spanou, N. [2014]. Mining geohazards—land subsidence caused by the dewatering of opencast coal mines: the case study of the Amyntaio coal mine, Florina, Greece. Natural hazards.
    [Google Scholar]
  6. Socco, L. V., Foti, S., & Boiero, D. [2010]. Surface wave analysis for building near-surface velocity models—Established approaches and new perspectives. Geophysics.
    [Google Scholar]
  7. Tarnus, R., Cai, C., Allemand, T., Bardainne, T. [2024]. Efficient workflow for near-surface characterization from the joint inversion of surface and compressional wave data. 30th European Meeting of Environmental and Engineering Geophysics.
    [Google Scholar]
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