Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways

Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways

Driven by the change in intense land use and land cover (LULC) due to fast urbanization, urban flooding events have become the most frequent and influential hazards over the last few decades. Accurately predicting possible flood-prone locations under the dynamic fluctuations of LULC is crucial for s...

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Bibliographic Details
Main Authors: Wang, Mo, Chen, Furong, Zhang, Dongqing, Chen, Zijing, Su, Jin, Zhou, Shiqi, Li, Jianjun, Chen, Jintang, Li, Jiaying, Tan, Soon Keat
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Shared socio-economic pathway
Patch-generating land use simulation
Online Access:https://hdl.handle.net/10356/174164

Internet

https://hdl.handle.net/10356/174164

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