Parameter Estimation of a Distributed Hydrological Model Using a Genetic Algorithm

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ISSN Print: 2163-0461
ISSN Online: 2163-0496
www.scirp.org/journal/ojmh
E-mail: ojmh@scirp.org

"Parameter Estimation of a Distributed Hydrological Model Using a Genetic Algorithm"
written by Jasmin Boisvert, Nassir El-Jabi, André St-Hilaire, Salah-Eddine El Adlouni,
published by Open Journal of Modern Hydrology, Vol.6 No.3, 2016

has been cited by the following article(s):

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[1]	Long-Term Stochastic Modeling of Monthly Streamflow in River Nile Sustainability, 2023 DOI:10.3390/su15032170

[2]	A Daily Water Balance Model Based on the Distribution Function Unifying Probability Distributed Model and the SCS Curve Number Method Water, 2022 DOI:10.3390/w14020143

[3]	On the Choice of Metric to Calibrate Time-Invariant Ensemble Kalman Filter Hyper-Parameters for Discharge Data Assimilation and Its Impact on Discharge Forecast Modelling Hydrology, 2021 DOI:10.3390/hydrology8010036

[4]	Highly Accurate Prediction Model for Daily Runoff in Semi-Arid Basin Exploiting Metaheuristic Learning Algorithms IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3092074

[5]	Exploiting the use of physical information for the calibration of a lumped hydrological model Hydrological Processes, 2018 DOI:10.1002/hyp.11501

[6]	Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Computer Science, 2018 DOI:10.1007/978-3-319-96133-0_28

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