Articles | Volume 25, issue 12
https://doi.org/10.5194/nhess-25-4767-2025
https://doi.org/10.5194/nhess-25-4767-2025
Research article
 | 
01 Dec 2025
Research article |  | 01 Dec 2025

Effective storm surge risk assessment and deep reinforcement learning based evacuation planning: a case study of Daya Bay Petrochemical Industrial Zone

Chuanfeng Liu, Yan Li, Hao Qin, Wenjuan Li, Lin Mu, Si Wang, Darong Liu, and Kai Zhou

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Cited articles

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Storm surges pose a significant flooding risk to coastal areas. This study presents a comprehensive approach to conduct the storm risk assessment and evacuation route planning in the Daya Bay Petrochemical Industrial Zone. It facilitates a thorough understanding for local government regarding the spatial distribution of road risks and aids residents in swiftly devising optimal evacuation routes, which significantly bolsters efforts in storm surge disaster prevention, mitigation, and contributes.
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