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Groundwater Flow Assessment Using Modflow 6 and Model Muse: Application to Pointe-Noire Coastal Aquifers, Congo-Brazzaville
Department of Mathematics, Pan African University Institute for Basic Science Technology and Innovation, Nairobi, Kenya
LMEI/CUSI/Ecole Nationale Supérieure Polytechnique, Marien Ngouabi University, Brazzaville, Congo
Department of Mathematics, Kenyatta University, Nairobi, Kenya
- 1 Department of Mathematics, Pan African University Institute for Basic Science Technology and Innovation, Nairobi, Kenya
- 2 LMEI/CUSI/Ecole Nationale Supérieure Polytechnique, Marien Ngouabi University, Brazzaville, Congo
- 3 Department of Mathematics, Kenyatta University, Nairobi, Kenya
Journal of Water Resource and Protection·Volume 13 (2021)·Pages 900–914·Published 3 November 2021·DOI10.4236/jwarp.2021.1311048
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Abstract
As numerical modeling is an effective tool for managing groundwater resources and predicting future responses, in this study, the author has intended to assess groundwater flow through Modflow 6 and Model Muse into Pointe-Noire coastal aquifers. The results showed that the fourth scenario has the biggest effect on the drawdown and seawater intrusion extent. Different parameters including evapotranspiration, recharge, model boundary, etc. were adjusted to run the model. The fourth scenario with the highest pumping rate value caused a slight increase of head values over the values simulated.
KeywordsGroundwaterPointe-NoireCoastal AquifersModflowModel Muse
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