Application of GLUE Methodology for Estimating the Parameters of the RainfallRunoff Model
Journal Title: Journal of River Engineering - Year 2014, Vol 2, Issue 8
Abstract
Parameter uncertainty of the distributed AFFDEF model was studied using GLUE (Generalized Likelihood Uncertainty Estimation) methodology which linked to the model in MATLAB software. Two historical floods with hourly time step for calibration periods were selected. Simulation runs were done to indicate convergence to a stationary posterior distribution. Finally posterior parameters were created with Latin Hyper Cubic Sampling. It was identified that some observations were not covered in the parameter uncertainty bounds, which suggest that more accurate predictions might be obtained if the model structure and the measured data are improved. The results for calibration period showed that observational discharge values especially peak values bracketed well within 95% confidence interval. Regarding rising and recessing limb as a result of initial conditions and uncertainties originate from base flow separation methods, they were predicted out of the confidence interval. For evaluating the uncertainty degree, P-95CI, ARIL and MNS criteria were used. Also for determining the best-fitting between the observed discharge and simulated discharge, SSE criterion was used.
Authors and Affiliations
Dorsa Darikandeh - Abolfazl Akbarpour - Mohsen Pourreza Bilondi - Seyyed Reza Hashemi
Keywords
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Parameter uncertainty of the distributed AFFDEF model was studied using GLUE (Generalized Likelihood Uncertainty Estimation) methodology which linked to the model in MATLAB software. Two historical floods with hourly...