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Kang 等 - 2025 - Global Flood Projection and Socioeconomic Implications Under a Deep Learning Framework by 康圣屿 is a document available to read on EtoBox.

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This research article presents a deep learning framework to project global flood risks and their socioeconomic implications due to climate change. The study forecasts a doubling of flood risk by the late 21st century, potentially impacting 186 trillion USD in assets and 4 billion people, driven by increased precipitation extremes and global warming. The findings aim to inform policymakers in developing strategies to mitigate flood risks associated with climate change.

Author

康圣屿

Language

EN