Urban flood modeling using deep-learning approaches in Seoul, South Korea
Journal of Hydrology(2021)
Abstract
•Flood hazard was analyzed in Seoul city based on environmental drivers.•Applicability of two deep-learning models was scrutinized.•Prediction performance was slightly better with NNETC than NNETR.•Terrain ruggedness index in urban areas is the most important flood driver.
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Key words
Flood inundation,Cities,GIS,Deep-learning,Predictors
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