Machine learning and hydrodynamic proxies for enhanced rapid tsunami vulnerability assessment
2024 · Communications Earth & Environment · 6 citations
https://doi.org/10.1038/s43247-024-01468-7
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38
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9
h-index
9
i10-index
Mario Di Bacco is an academic researcher from University of L'Aquila. The author has contributed to research in topics: Flood Risk Assessment and Management & Hydrology and Drought Analysis & Hydrology and Sediment Transport Processes. The author has an h-index of 9, co-authored 33 publications.
ORCID: 0000-0002-2483-3977Click to start Chat