Integrating Artificial Intelligence with Physics-Based Modeling for Enhanced Natural Disaster Prediction: A Hybrid Approach

Natural disasters such as earthquakes, hurricanes, floods, and wildfires are escalating in frequency and intensity due to climate change. This paper explores the integration of artificial intelligence (AI) with physics-based models to improve natural disaster prediction. While physics-based models offer interpretability and adherence to fundamental laws, AI enhances pattern recognition and real-time analysis. The proposed AI-Physics hybrid model leverages the strengths of both methods to deliver timely, accurate, and physically consistent disaster forecasts. This approach has the potential to shift disaster management from reactive response to proactive prevention.