2013
DOI: 10.1007/s11269-013-0417-x
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Two-Dimensional Numerical Simulation of the Hydro-Sedimentary Phenomena in Lake Taabo, Côte d’Ivoire

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Cited by 23 publications
(13 citation statements)
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“…The hydrodynamic model was created using Mike 21 HD software. This solves the partial differential equations governing the problem, namely, the continuity equation and the equations for the conservation of mass and momentum integrated over the vertical (KOUASSI et al, 2013). The mesh is composed of unstructured triangular elements, allowing the resolution of the model to be refined in areas of interest.…”
Section: Hydrodynamic Modelingmentioning
confidence: 99%
“…The hydrodynamic model was created using Mike 21 HD software. This solves the partial differential equations governing the problem, namely, the continuity equation and the equations for the conservation of mass and momentum integrated over the vertical (KOUASSI et al, 2013). The mesh is composed of unstructured triangular elements, allowing the resolution of the model to be refined in areas of interest.…”
Section: Hydrodynamic Modelingmentioning
confidence: 99%
“…La modélisation du transport des sédiments a été entreprise dans la lagune avec le modèle MIKE 21 HD FM, en couplant le module MT (Mud Transport) au module hydrodynamique HD afin de simuler la dynamique des sédiments vaseux et des sables fins qui se fait principalement en suspension dans la colonne d'eau. Les équations aux dérivées partielles ci-dessous décrivent l'équation de la continuité, les équations de la conservation de quantité de mouvement intégrée sur les profondeurs d'eau et l'équation de transport des sédiments (DHI, 2007 ;KOUASSI et al, 2013).…”
Section: Modélisationunclassified
“…Hydrological and hydraulic model coupling is also a possibility to estimate erosion and sediment deposition in a dam (Shrestha et al, 2022;Tadesse and Dai, 2019). Numerical simulations are nowadays powerful tools to understand and manage the physical processes related to river flows and solid transport (Kouassi et al, 2013;Liu et al, 2019;Winterwerp and Van Kesteren, 2004). In addition to their ability to predict flow conditions and sedimentation processes, they help to minimize costs and investment time.…”
Section: Introductionmentioning
confidence: 99%