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Urban flood susceptibility decoded: A GeoAI workflow for urban flood-prone area delineation and mitigation mechanism inference | Synapse
March 3, 2026
Open Access
Urban flood susceptibility decoded: A GeoAI workflow for urban flood-prone area delineation and mitigation mechanism inference
JW
Junhao Wu
NL
Na Lu
Huazhong University of Science and Technology
LM
Ling Ma
University of East Anglia
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Key Points
Urban flood susceptibility assessment identifies critical areas prone to flooding, enhancing city planning efforts.
Key metrics include high susceptibility zones detected through advanced GeoAI modeling techniques.
Assessment using a GeoAI workflow analyzes spatial data and environmental factors in urban regions.
Mitigation strategies from this analysis may enable better preparedness against flooding events in cities.
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Cite This Study
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Wu et al. (Sun,) studied this question.
synapsesocial.com/papers/69a761c3c6e9836116a2fd5f
https://doi.org/https://doi.org/10.17863/cam.127243