Towards Democratized Flood Risk Management: An Advanced AI Assistant Enabled by GPT-4 for Enhanced Interpretability and Public Engagement
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Abstract (arXiv)
Real-time flood forecasting is vital for effective emergency responses, but bridging the gap between complex numerical models and practical decision-making remains challenging. Decision-makers often rely on experts, while the public struggles to interpret flood risk information. To address this, we developed a customized AI Assistant powered by GPT-4. This tool enhances communication between decision-makers, the public, and forecasters, requiring no specialized knowledge. The framework leverages GPT-4's advanced natural language capabilities to search flood alerts, answer inquiries, and integrate real-time warnings with flood maps and social vulnerability data. It simplifies complex flood zone information into actionable advice. The prototype was evaluated on relevance, error resilience, and contextual understanding, with performance compared across different GPT models. This research advances flood risk management by making critical information more accessible and engaging, demonstrating the potential of AI tools like GPT-4 in addressing social and environmental challenges.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 3 of its 40 references that are in the map. First posted on arXiv 5 Mar 2024.
Builds on
3 of 40 references.
References · 3
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Citing papers per year: 2025: 3.
3 papers.
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- 2025GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?15 May 2025
- 2025A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation24 Apr 2025