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Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review

Author(s): Md Shike Bin Mazid Anik

Urban flooding has become a growing concern for many cities due to accelerating urbanisation, changing weather, and drainage system aging. Earlier studies of floods have taken primarily the traditional process-based approach to predicting urban floods, offering limited exploration of recent advancements in AI-driven, real-time, and community-integrated ap ...

Article GUID: 40692624


Buy them out before they are built: evaluating the proactive acquisition of vacant land in flood-prone areas

Author(s): Atoba K; Newman G; Brody S; Highfield W; Kim Y; Juan A;

Rising flood damages have prompted local communities to implement buyout and property acquisition programmes to eliminate repetitive losses for at-risk properties. However, buyouts are often costly to implement and are reactionary solutions to flooding. This study quantifies the benefits of acquiring vacant private properties in flood-prone areas rather t ...

Article GUID: 34887609


Monitoring the evolution of individuals' flood-related adaptive behaviors over time: two cross-sectional surveys conducted in the Province of Quebec, Canada.

Author(s): Valois P; Tessier M; Bouchard D; Talbot D; Morin AJS; Anctil F; Cloutier G;

Climate change is predicted to increase the frequency and intensity of floods in the province of Quebec, Canada. Therefore, in 2015, to better monitor the level of adaptation to flooding of Quebec residents living in or near a flood-prone area, the Quebec Observatory of Adaptation to Climate Change developed five indices of adaptation to flooding, accordi ...

Article GUID: 33143677


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