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

Author(s)	Mr. Aaradhya Chaturvedi
Country	India
Abstract	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.
Keywords	Natural Disaster Prediction, Artificial Intelligence, Physics-Based Models, Hybrid Modeling, Early Warning Systems, Earthquake, Hurricane, Flood, Wildfire.
Field	Physical Science
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-16
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.41795
Short DOI	https://doi.org/g9f4vz

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