A systematic review of natural language processing applications for hydrometeorological hazards assessment
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DOI: 10.1007/s11069-023-05842-0
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- Yuan, Faxi & Li, Min & Liu, Rui & Zhai, Wei & Qi, Bing, 2021. "Social media for enhanced understanding of disaster resilience during Hurricane Florence," International Journal of Information Management, Elsevier, vol. 57(C).
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- Berina Mina Kilicarslan & Marouane Temimi, 2024. "Simulating block-scale flood inundation and streamflow using the WRF-Hydro model in the New York City metropolitan area," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(11), pages 10043-10066, September.
- Ricardo S. Oyarzabal & Leonardo B. L. Santos & Christopher Cunningham & Elisangela Broedel & Glauston R. T. Lima & Gisleine Cunha-Zeri & Jerusa S. Peixoto & Juliana A. Anochi & Klaifer Garcia & Lidian, 2025. "Forecasting drought using machine learning: a systematic literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(8), pages 9823-9851, May.
- Sun Ho Ro & Jie Gong, 2024. "Scalable approach to create annotated disaster image database supporting AI-driven damage assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 11693-11712, October.
- Rafael Muñoz-Carpena & Alvaro Carmona-Cabrero & Ziwen Yu & Garey Fox & Okke Batelaan, 2023. "Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering," PLOS Water, Public Library of Science, vol. 2(8), pages 1-24, August.
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