Articles | Volume 25, issue 10
https://doi.org/10.5194/nhess-25-3759-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-25-3759-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Oct 2025
Research article |
| 06 Oct 2025
| 06 Oct 2025
Predictive understanding of socioeconomic flood impact in data-scarce regions based on channel properties and storm characteristics: application in High Mountain Asia (HMA)
Mariam Khanam
CORRESPONDING AUTHOR
Civil & Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
Water Resources Science and Engineering, Oak Ridge National Laboratory, Oak Ridge, TN 37771, USA
Civil & Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
Wilmalis Rodriguez
Civil & Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA
Efthymios I. Nikolopoulos
Civil & Environmental Engineering, Rutgers University, Piscataway, NJ 08854, USA
Binghao Lu
Computer Science and Engineering, University of Connecticut, Storrs, CT 06269, USA
Dongjin Song
Computer Science and 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
This study comprehends and predicts the socioeconomic effects of floods in the High Mountain Asia (HMA) region. We proposed a machine learning strategy for mapping socioeconomic flood damage. We predicted the life year index (LYI), which quantifies the financial cost and loss of life caused by floods, using variables including climate, geomorphology, and population. The study's overall goal is to offer useful information on flood susceptibility and subsequent risk mapping in the HMA region.
This study comprehends and predicts the socioeconomic effects of floods in the High Mountain...
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