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Assessing hurricane-induced flood risks in urban areas using Bayesian networks and GIS applications | Synapse
March 3, 2026
Assessing hurricane-induced flood risks in urban areas using Bayesian networks and GIS applications
DF
Dianyu Feng
NHS Dumfries and Galloway
XS
Xiaogang Shi
China University of Petroleum, Beijing
FR
Fabrice G. Renaud
NHS Dumfries and Galloway
Key Points
Flood risks from hurricanes in urban areas were effectively assessed using advanced bayesian networks and GIS technologies.
The analysis focused on urban landscapes, revealing potential flood risk zones under simulated hurricane conditions.
Using GIS applications along with bayesian networks provided a robust framework for evaluating flood risk factors.
Findings highlight the importance of integrating geographic information systems to improve urban resilience against floods.
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Cite This Study
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Feng et al. (Sun,) studied this question.
synapsesocial.com/papers/69a7667ebadf0bb9e87dd361
https://doi.org/https://doi.org/10.1007/s11069-025-07832-w