Extracting Spatiotemporal Flood Information from News Texts Using Machine Learning for a National Dataset in China
Shengnan Fu,
David M. Schultz,
Heng Lyu
et al.
Abstract:Abstract. Urban floods present a threat in China, demanding an understanding of their spatiotemporal distribution. Current flood datasets primarily offer provincial-scale insights and lack temporal continuity, which leads to a challenge in detailed analysis. To create a consistent national dataset of flood events, this study introduces a machine learning framework by applying online news media as a primary data source to construct a county-level dataset of urban flood events from 2000 to 2022. Using the Bidire… Show more
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