Cho et al. (2026) Toward transferable flash flood oriented high flow prediction in ungauged basins using a decoupled physics–DL framework
Identification
- Journal: Journal of Hydrology
- Year: 2026
- Date: 2026-09-03
- Authors: Hyunjin Cho, Hyojun Bak, Gunhaeng Lee, ChangHwan Kim, Hyejin Park, Dae‐Hong Kim
- DOI: 10.1016/j.jhydrol.2026.136346
Research Groups
- Department of Civil Engineering, The University of Seoul
- Han River Flood Control Office, Ministry of Climate, Energy and Environment
Short Summary
This study proposes a decoupled physics–DL framework to predict flash floods in ungauged basins by combining physics-based surface runoff routing with deep-learning based rainfall loss estimation.
Objective
- Investigate the feasibility of predicting flash floods in pseudo-ungauged basins using a decoupled physics–DL framework
Study Configuration
- Spatial Scale: Regional scale, focusing on South Korea
- Temporal Scale: Event-scale (hours to days)
Methodology and Data
- Models used:
- Dynamic wave-based instantaneous unit hydrograph (DIUH)
- Multilayer perceptron (MLP) for rainfall loss estimation
- Data sources:
- Topographical and land-cover information
- Basin descriptors and rainfall event characteristics
Main Results
- The decoupled physics–DL framework achieved a median critical success index (CSI) of 0.50 under strict warning criteria, with CSI increasing under relaxed tolerance settings.
- Median Kling–Gupta efficiency (KGE) of 0.75 for stage-hydrograph reproduction.
Contributions
- This study provides an effective and interpretable approach for flash flood oriented high flow prediction in pseudo-ungauged basins without local calibration.
Funding
- This research was supported by the Ministry of Climate, Energy and Environment (Han River Flood Control Office)
Citation
@article{Cho2026Toward,
author = {Cho, Hyunjin and Bak, Hyojun and Lee, Gunhaeng and Kim, ChangHwan and Park, Hyejin and Kim, Dae‐Hong},
title = {Toward transferable flash flood oriented high flow prediction in ungauged basins using a decoupled physics–DL framework},
journal = {Journal of Hydrology},
year = {2026},
doi = {10.1016/j.jhydrol.2026.136346},
url = {https://doi.org/10.1016/j.jhydrol.2026.136346}
}
Original Source: https://doi.org/10.1016/j.jhydrol.2026.136346