Predicting synthetic rating curve adjustment factors with explainable machine learning for enhancing the United States operational flood inundation mapping framework
Year: 2025
Type: article
Abstract: Highlights • Synthetic Rating Curve (SRC) adjustment factors for the NHDPlus river network across the United States are predicted using explainable Machine Learning models. • The predicted flood inundation maps for Hurricane Matthew show a mean improvement of 18-20% after SRC adjustment. • A 14% mean improvement is found in the percentage of buildings hit by the predicted flood inundation maps after the SRC adjustment.
Source: Journal of Hydrology
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,030
Award: G136433309
OpenAlex ID: W4413365318