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    Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways by Wang, Mo, Chen, Furong, Zhang, Dongqing, Chen, Zijing, Su, Jin, Zhou, Shiqi, Li, Jianjun, Chen, Jintang, Li, Jiaying, Tan, Soon Keat

    Published 2024
    “…Therefore, this study proposed a robust and powerful cascade modeling chain consisting of Maximum Entropy, System Dynamics and Patch-generating Land Use Simulation in combination with shared socio-economic pathways for projecting temporal and spatial dynamic changes associated with urban flooding vulnerability. Taking Guangdong Hong Kong Macao Greater Bay Area (GBA) as case study, the results showed that the increase in urban flooding was largely caused by the expansion of construction land. …”
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    Journal Article
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