Investigation of Mining Subsidence Prediction Under Tectonic Influences

Research output: ThesisDoctoral Thesis


This dissertation addresses the challenge of predicting human-induced subsidence in tectonic settings. The study focuses on the non-symmetric and shape-defying nature of subsidence troughs in tectonic regions, which deviates from conventional symmetric models. The aim of the dissertation is to improve the accuracy of subsidence prediction by incorporating horizontal stress effects into empirical methods. Through a combination of numerical investigations and empirical modelling, the research reveals stress-induced patterns in subsidence profiles. The developed model, based on various concepts, successfully incorporates asymmetry and shape deviation, resulting in significantly improved prediction accuracy. Application of the model to a real subsidence case in a salt cavern shows a 30% improvement in prediction (based on mean squared error comparison with classical solution). This new solution covers subsidence profile patterns not previously considered by empirical models.
Original languageEnglish
  • Benndorf, Jörg, Supervisor (internal), External person
  • Blachowski, Jan, Supervisor (internal), External person
Award date12 Dec 2023
Publication statusPublished - 12 Dec 2023


  • Subsidence under tectonic conditions
  • New subsidence prediction method
  • Asymmetry
  • Shape deviation
  • Numerical modeling
  • Subsidence engineering

Cite this