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 diffic...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.展开更多
This study aims to identify human uses and activities in the watershed Aghien lagoon in nine rural communities located downstream, near the lagoon in rural area, and upstream of the lagoon in the urban area. A sample ...This study aims to identify human uses and activities in the watershed Aghien lagoon in nine rural communities located downstream, near the lagoon in rural area, and upstream of the lagoon in the urban area. A sample of two thousand two hundred fifty eight (2258) households is selected by the cluster sampling technique to three degrees. To these persons, a survey was administered. An interview guide was submitted to the various economic operators of these areas. The results show that the lagoon is used by localities near the lagoon for the dishes, laundry, bathing and swimming for more than 80% of households. This resource is also used for fishing, transport, irrigation, consumption and defecation but at low levels and as a receptacle for garbage. In the villages bordering the lagoon, the main economic activity is agriculture, unlike trade in upstream urban areas.展开更多
文摘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.
基金funded by the AMRUGE-C2D 2015-2017 program,the Ivorian Ministry of Scientific Research and Higher Education and the French Research Institute for Development(IRD).
文摘This study aims to identify human uses and activities in the watershed Aghien lagoon in nine rural communities located downstream, near the lagoon in rural area, and upstream of the lagoon in the urban area. A sample of two thousand two hundred fifty eight (2258) households is selected by the cluster sampling technique to three degrees. To these persons, a survey was administered. An interview guide was submitted to the various economic operators of these areas. The results show that the lagoon is used by localities near the lagoon for the dishes, laundry, bathing and swimming for more than 80% of households. This resource is also used for fishing, transport, irrigation, consumption and defecation but at low levels and as a receptacle for garbage. In the villages bordering the lagoon, the main economic activity is agriculture, unlike trade in upstream urban areas.
