A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins

A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins

Study region: The transboundary Imjin River basin, Korea. Study focus: The primary aim is to propose and validate a novel framework for assessing the uncertainty in hydrological models, particularly rainfall–runoff models (RRMs), considering transboundary river basins with limited data accessibility...

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Bibliographic Details
Main Authors: Thi-Duyen Nguyen, Duc Hai Nguyen, Hyun-Han Kwon, Deg-Hyo Bae
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Journal of Hydrology: Regional Studies
Subjects:
Uncertainty qualification
Hydrological model
Delayed rejection adaptive Metropolis algorithm
Assessment indices
Likelihood function
Transboundary river basin
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581824004440
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