Articles | Volume 24, issue 7
https://doi.org/10.5194/nhess-24-2577-2024
https://doi.org/10.5194/nhess-24-2577-2024
Research article
 | 
26 Jul 2024
Research article |  | 26 Jul 2024

Flood occurrence and impact models for socioeconomic applications over Canada and the United States

Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond

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Latest update: 13 Dec 2024
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Short summary
Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
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