To what extent do flood-inducing storm events  change future flood hazards?

Khanam, Mariam; Sofia, Giulia; Anagnostou, Emmanouil N.

doi:https://doi.org/10.5194/hess-28-3161-2024

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.

https://doi.org/10.5194/hess-28-3161-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 14

Research article

|

19 Jul 2024

Research article |

| 19 Jul 2024

To what extent do flood-inducing storm events change future flood hazards?

Mariam Khanam, Giulia Sofia, and Emmanouil N. Anagnostou

Supplement

https://doi.org/10.5194/hess-28-3161-2024-supplement

Data sets

Flood stage values National Oceanic and Atmospheric Administration https://water.noaa.gov/

A comprehensive database of flood events in the contiguous United States from 2002 to 2013 X. Shen et al. https://doi.org/10.1175/BAMS-D-16-0125.1

Historical mean daily streamflow records U.S. Geological Survey https://waterdata.usgs.gov/nwis/sw

Historical field measurements of channel properties U.S. Geological Survey https://waterdata.usgs.gov/nwis/uv/?referred_module=sw

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.