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PreprintCC BY 4.0Zenodo

From Theoretical Critical Slowing Down to Practical Active Seismic Monitoring: A Comprehensive Framework for Early Warning Systems

Abstract

This report presents a comprehensive study on the phenomenon of Critical Slowing Down (CSD) and the sudden collapse of complex dynamical systems. By simulating the Fold Bifurcation model, we mathematically and physically prove that collapse does not occur due to a massive external force, but rather due to "the complete erosion of the system's resilience (Stiffness)." We demonstrate how variance and autocorrelation serve as early warning signals. Furthermore, we propose a practical engineering application: Active Seismic Monitoring. By sending controlled pulses into the system and analyzing the response, we design a robust Dual-Alert System based on a Composite Anomaly Index (CAI). This system successfully eliminates false alarms and provides a critical lead time for evacuation before the catastrophic collapse.

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BibTeX
@misc{saim2026from,
  title = {{From Theoretical Critical Slowing Down to Practical Active Seismic Monitoring: A Comprehensive Framework for Early Warning Systems}},
  author = {MOHAMMED TAHAR SAIM},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23557226},
  url = {https://zenodo.org/records/23557226},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - From Theoretical Critical Slowing Down to Practical Active Seismic Monitoring: A Comprehensive Framework for Early Warning Systems
AU  - MOHAMMED TAHAR SAIM
PY  - 2026
DA  - 2026/10/22
PB  - Zenodo
DO  - 10.5281/zenodo.23557226
UR  - https://zenodo.org/records/23557226
AB  - This report presents a comprehensive study on the phenomenon of Critical Slowing Down (CSD) and the sudden collapse of complex dynamical systems. By simulating the Fold Bifurcation model, we mathematically and physically prove that collapse does not occur due to a massive external force, but rather due to "the complete erosion of the system's resilience (Stiffness)." We demonstrate how variance and autocorrelation serve as early warning signals. Furthermore, we propose a practical engineering application: Active Seismic Monitoring. By sending controlled pulses into the system and analyzing the response, we design a robust Dual-Alert System based on a Composite Anomaly Index (CAI). This system successfully eliminates false alarms and provides a critical lead time for evacuation before the catastrophic collapse.
ER  -