CAVORA: Limit Cycle Hydrological Dynamics Framework for Adaptive Cave Passage Safety Protocols in Mediterranean Karst Systems

CAVORA is a field-validated mathematical framework for predicting cave passage stability and hydrological dynamics in Mediterranean karst systems. The system provides survey teams with actionable early warnings 60-120 minutes before critical passage modifications. Key Features: Limit Cycle Detection: 91.5% accuracy in identifying passage dynamics patterns Early Warning System: 60-120 minute lead time for critical events Real-time Monitoring: Live dashboard with color-coded stability levels Field-Validated Models: Tested across 43 Mediterranean cave systems Multi-dimensional Analysis: Vertical, lateral, and deposition dynamics Climate Integration: Rainfall and discharge forecasting Validation: 1,247 passage surveys from 43 Mediterranean cave systems 2,842 field measurements from operational monitoring networks 10-year temporal span (2015-2024) across five countries 89.3% prediction accuracy in real-world field conditions Technical Implementation: Python 3.8+ compatible Van der Pol oscillator model for karst dynamics Docker containerized deployment REST API for integration