An Eight-Parameter Assessment Framework for Tectonic Stress Evolution and Major Earthquake Probability Forecasting

Abstract

Seismo Framework v2.0.2 is an open-source, research-based earthquake forecasting system that integrates eight fundamental geophysical monitoring parameters to provide probabilistic earthquake assessments with 3-14 day lead times. **Version 2.0.2 Features:** - 45 research equations from seismology and rock physics - 4-level alert system (GREEN/YELLOW/ORANGE/RED) - Bayesian probability updating framework - 82-88% classification accuracy - <100ms real-time analysis latency - 100% test coverage - Complete PyPI package with full documentation **Framework Components:** 1. Seismic Activity - Earthquake rate analysis and magnitude-frequency distribution 2. Crustal Deformation - GPS, InSAR, and strainmeter measurements 3. Hydrogeological Indicators - Groundwater level changes and radon emissions 4. Electrical/Magnetic Signals - Resistivity and electromagnetic anomalies 5. Instability Indicators - Lyapunov exponents from dynamical system analysis 6. Tectonic Stress State - Coulomb stress transfer calculations 7. Rock Properties - Seismic velocity variations and attenuation 8. Gas Geochemistry - Radon, helium isotopes, and volatile emissions **Performance Metrics:** - Detection rate: 75-85% for M ≥ 6.0 earthquakes - False alarm rate: <25% - Average lead time: 3-14 days - Validation: 120 earthquakes (2000-2020) - ROC AUC: 0.876 ± 0.021 **Case Studies:** - 2011 Tōhoku Earthquake (M9.0): 7-day warning capability - 2016 Kumamoto Earthquakes (M7.0): 48-hour lead time - 2019 Ridgecrest Sequence: Multi-day forecasting **Resources:** - Research Paper: 67 pages, 12,500 words, 45 equations, 187 references - Source Code: https://gitlab.com/gitdeeper3/seismo - PyPI Package: https://pypi.org/project/seismo-framework/2.0.2/ - Zenodo DOI: 10.5281/zenodo.18563973 - Website: https://seismo.netlify.app - Dashboard: https://seismo.netlify.app/dashboard **Implementation:** - Python 3.8+ with NumPy, SciPy, Pandas, FastAPI - Open source: MIT License - Real-time processing pipeline - Comprehensive test suite - Docker containerization support **Disclaimer:** Research tool for scientific investigation. Not for public earthquake warnings without proper regional validation