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Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin Cover

Testing sensitivity of BILAN and GR2M models to climate conditions in the Gambia River Basin

Journal of Hydrology and Hydromechanics
Volume 72 (2024): Issue 1 (March 2024)
By: Doudou Ba,  Jakub Langhammer,  Petr Maca and  Ansoumana Bodian  
Open Access
|Feb 2024

Authors

Doudou Ba

Department of Physical Geography and Geoecology, Faculty of Science, Charles University in Prague, Prague, Czech Republic
Department of Water Resources and Environmental Modelling, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague 6, Czech Republic

Jakub Langhammer

jakub.langhammer@natur.cuni.cz

Department of Physical Geography and Geoecology, Faculty of Science, Charles University in Prague, Prague, Czech Republic

Petr Maca

Department of Water Resources and Environmental Modelling, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague 6, Czech Republic

Ansoumana Bodian

Laboratoire Leïdi “Dynamique des Territoires et Développement”, Université Gaston Berger (UGB), Saint Louis, Sénégal
DOI: https://doi.org/10.2478/johh-2023-0044 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
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Language: English
Page range: 131 - 147
Submitted on: Jul 1, 2023
Accepted on: Dec 11, 2023
Published on: Feb 8, 2024
Published by: Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Rainfall-runoff model,
BILAN,
GR2M,
Lumped models,
The Gambia River Basin,
Crash test
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Doudou Ba, Jakub Langhammer, Petr Maca, Ansoumana Bodian, published by Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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