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Shafizadeh-Moghadam, H., Valavi, R., Shahabi, H., Chapi, K. and Shirzadi, A. (2018) Novel Forecasting Approaches Using Combination of Machine Learning and Statistical Models for Flood Susceptibility Mapping. Journal of Environmental Management, 217, 1-11.
https://doi.org/10.1016/j.jenvman.2018.03.089

has been cited by the following article:

• TITLE: 1D-2D Hydraulic Modeling of a Diversion Channel on the Cavally River in Zouan-Hounien, Cote d’Ivoire

  AUTHORS: Kouassı Kouakou Lazare, Brou Loukou Alexis, Yao Affoué Berthe, Kouadıo Zilé Alex, Konan Kouakou Séraphin, Konan Koffi Félix, Koffı Bérenger

  KEYWORDS: Hydraulic Modeling, Diversion Channel, Cavally River, Ity, Côte d’Ivoire

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.11 No.8, August 26, 2019

  ABSTRACT: On the Cavally River, located on the border between C?te d’Ivoire and Liberia, several hydraulic structures such as bridges and diversion channels are planned to be made in recent years in the operating perimeter of the Ity mining company. A 1D-2D hydraulic model was developed to design a diversion channel to cut a meander of the Cavally River in order to ensure hydraulic operation similar to the initial conditions of the river (water levels, flow and velocities). This model was designed with a flow rate of 240 m3/s and a Manning coefficient of 0.052 m1/3·s-1 for the minor bed and 0.06 m1/3·s-1 for the major bed. The results from the hydraulic model show that the hydraulic conditions (water levels, velocities) in the channel before and after the diversion remain almost like those of the Cavally River.