Machine learning-enabled regional multi-hazards risk assessment considering social vulnerability

The regional multi-hazards risk assessment poses difficulties due to data access challenges, and the potential interactions between multi-hazards and social vulnerability. For better natural hazards risk perception and preparedness, it is important to study the nature-hazards risk distribution in di...

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Detalles Bibliográficos
Autores principales: Zhang, Tianjie, Wang, Donglei, Lu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435490/
https://www.ncbi.nlm.nih.gov/pubmed/37591870
http://dx.doi.org/10.1038/s41598-023-40159-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435490/
https://www.ncbi.nlm.nih.gov/pubmed/37591870
http://dx.doi.org/10.1038/s41598-023-40159-9

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