Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning

Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning

Abstract Rapid delineation of flash flood extents is critical to mobilize emergency resources and to manage evacuations, thereby saving lives and property. Machine learning (ML) provides a promising solution for this rapid delineation, offering a computationally efficient alternative to high‐resolut...

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Bibliographic Details
Main Authors: Mark S. Bartlett, Jared VanBlitterswyk, Martha Farella, Jinshu Li, Curtis Smith, Anthony J. Parolari, Lalitha Krishnamoorthy, Assaad Mrad
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Water Resources Research
Subjects:
flooding
pluvial flooding
Buckingham π theorem
machine learning
logistic regression
flood mapping
Online Access:https://doi.org/10.1029/2024WR039086
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https://doi.org/10.1029/2024WR039086

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