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Rain-Flow Modeling Using a Multi-Layer Artificial Neural Network on the Watershed of the Cavally River(Cote d’Ivoire)

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Journal of Water Resource and Protection 2017年第12期9卷 1403-1413页

作者： Brou Loukou alexis Kouassi Kouakou Lazare Konan Kouakou Seraphin kouadio zile alex Konan Koffi Felix Kamagate Bamory Universite Jean Lorougnon Guede DaloaCote d’Ivoire Universite Nangui-Abrogoua AbidjanCote d’Ivoire

Water resources management is nowadays a significant stake for the world. However, missing or bad quality of the hydro-climatic historical data available of the studied area makes sometimes hydrological studies difficult. Generally, conceptual rain-flow models are designed to bring an appropriate answer with the correction of gaps and prediction of the flows. Historical hydro-climatic data of the Ity station, located on Cavally River, contain gaps which must be bridged. This study aims to establish a rainfall-runoff model through artificial neural networks for filling the gaps into the flow data series of the hydrometric station of Ity on the watershed of Cavally River. A multi-layer perceptron of feed forwards with two entries (monthly average rain and evapotranspiration) and an exit (flows) was established with flow evapotranspiration data. Comparison of the criteria of performance of the various architectures of the neural network model showed that architecture 2-3-1 gives best results. This architecture provides Nash coefficients of 75.79% and correlation linear coefficient of 95.64% for the calibration and Nash coefficients of 73.32% and correlation linear coefficient of 98.33% for the validation. The correlations between simulated flows and observed flows are strong. The correlation coefficients are 83.89% and 83.08% respectively for the calibration and validation.

关键词： Rain-Flow Modeling Artificial Neural Network Cavally River Cote d’Ivoire

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

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Journal of Water Resource and Protection 2019年第8期11卷 1036-1048页

作者： Kouassi Kouakou Lazare Brou Loukou alexis Yao Affoue Berthe kouadio zile alex Konan Kouakou Seraphin Konan Koffi Felix Koffi Berenger Department of Geology University Jean Lorougnon GUEDEDaloaCote d’Ivoire

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.

关键词： Hydraulic Modeling Diversion Channel Cavally River Ity Cote d’Ivoire

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Characterization of the Origin of Pollutants in Groundwater from Biostatistical Tests:The Case of Catchment Ehania,South-Eastern Cote d’Ivoire

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Journal of Water Resource and Protection 2013年第12期5卷 1178-1185页

作者： Brou Dibi Arthur Brice Konan-Waidhet Felix Koffi Konan Charles Sagne Yao alex kouadio zile Issiaka Savane Dago Gnakri Universite Jean Lorougnon Guede Daloa DaloaCote d’Ivoire Universite Nangui Abrogoua AbidjanAbidjanCote d’Ivoire

The threat of agro-industrial exploitations on the quality of groundwater resources has become a major concern for the world’s population, mainly in agricultural areas. To solve this problem, several methods such as vulnerability to pollutants and statistics methods, have been adopted to protect these groundwaters. In this study, statistical tests were used to determine the likely source of pollutants in the groundwater resources. First, we made a comparative analysis and then analyzed pollutants parameters using Kohonen self-organizing map (SOM) which allows basic on the similarity to help out any correlation between the physic-chemical parameters. To validate these results, a land use map was developed to identify the sources of pollutants in production functions of different activities taking place on the catchment area. The results indicate very high levels of certain pollutants such as NO3-, Cl- and SO42- with generally higher than World Health Organization (WHO) standards values. These high levels observed could be attributed to the generally free nature of aquifers alteration and sedimentary formations in areas of high agro-industrial production. The analysis of the data from SOM method reveals a strong correlation between pollutants (NO3-, SO42-,Cl- ) and conductivity showing the likely origin of these surface pollutants,an origin that is linked to the existence of larges agro-industrials exploitations. These results are reinforced by those of the overlay map of the sampling sites on the land use map, which shows a strong coincidence between high values of pollutants and production areas of the pollutants that are agro-industrial exploitations. These areas of coincidence are observed in the north where found banana’s industrials plantations that are less visible and mostly in the southwest part where is one of the largest oil palm plantations in the world (36,000 hectares).

关键词： Characterization Origin of Pollutants Groundwater Biostatistical Tests Catchment Ehania

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