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AI Use for Natural Disaster Prediction in Portugal
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Author(s): Pedro Miguel Gomes (Agency for Climate in Portugal, Portugal)and Tiago Cardoso (Agency for Climate in Portugal, Portugal)
Copyright: 2027
Pages: 22
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/407412
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Abstract
Portugal faces significant natural hazards, including wildfires, floods, and seismic activity, which are intensified by climate change and the nation's geographic characteristics. Artificial Intelligence (AI) presents transformative opportunities to enhance disaster prediction and management. By analyzing large datasets in real-time, AI-driven models improve the accuracy of forecasts, enabling faster, more effective responses to imminent threats. This article examines the application of AI in Portugal's disaster prediction landscape, highlighting technologies such as machine learning, natural language processing, and computer vision. Practical implementations are explored, from wildfire hotspot identification and flood forecasting to experimental seismic monitoring. Challenges such as data accessibility, infrastructure limitations, and ethical considerations must be addressed. Through strategic investment, interagency collaboration, and public engagement, Portugal can strengthen its resilience against natural disasters, ensuring safer communities in a rapidly changing environment.
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