Articles | Volume 28, issue 14
https://doi.org/10.5194/hess-28-3161-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-3161-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jul 2024
Research article |
| 19 Jul 2024
| 19 Jul 2024
To what extent do flood-inducing storm events change future flood hazards?
Mariam Khanam
CORRESPONDING AUTHOR
Civil & Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
Civil & Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
Emmanouil N. Anagnostou
Civil & Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
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Short summary
Flooding worsens due to climate change, with river dynamics being a key in local flood control. Predicting post-storm geomorphic changes is challenging. Using self-organizing maps and machine learning, this study forecasts post-storm alterations in stage–discharge relationships across 3101 US stream gages. The provided framework can aid in updating hazard assessments by identifying rivers prone to change, integrating channel adjustments into flood hazard assessment.
Flooding worsens due to climate change, with river dynamics being a key in local flood control....
