Water Flow Analysis of the Kayanga-Anambé-Lake Waïma Hydrological Complex by Flow-flow Correlation and Rainfall-flow Modeling Approaches

Thiaw, Ibrahima (2023) Water Flow Analysis of the Kayanga-Anambé-Lake Waïma Hydrological Complex by Flow-flow Correlation and Rainfall-flow Modeling Approaches. Journal of Scientific Research and Reports, 29 (10). pp. 7-28. ISSN 2320-0227

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Abstract

This article presents an assessment of the surface water resources of the Kayanga-Anambé hydrological complex, located in West Africa. This hydrological complex, one of the main characteristics of which is exclusively agricultural and pastoral, is subject to a changing climate and strong anthropogenic pressures leading to resource use conflicts. Therefore, a better knowledge of water availability is essential to guide policies for the management and adaptation of this geosystem. Two approaches are used to estimate the contributions from the different sub-watersheds of the Kayanga: (i) a correlation between the flow rates of Wassadou and those of the other hydrometric stations of the Management and Planning Unit (UGP) of Casamance and eastern Senegal – in particular for filling the gaps observed in the data series from the Wassadou, Niandouba and Vélingara Pakane stations – and (ii) the implementation of a rainfall-runoff modeling approach at monthly time intervals, with the GR2M model, to reconstruct seasonal flows and contributions from the Kayanga-Anambé-Lake Waïma complex. The results show correlation coefficients which vary from 0.24 to 0.96 depending on the stations, showing a strong relationship between the flow rates of the Kayanga at Wassadou and those of the other stations. The maximum correlation coefficient is noted at the Mako station (0.96), on the Gambia river. Furthermore, a Nash of 0.86 was obtained with the GR2M model. Thus, the parameters X1 and X2 of the model were used to reconstruct the seasonal flows and contributions from the Kayanga-Anambé-Lac Waïma complex. This made it possible to have long enough time series of flow rates for a better estimation of water resources and their temporal fluctuation.

Item Type: Article
Subjects: STM Repository > Multidisciplinary
Depositing User: Managing Editor
Date Deposited: 02 Oct 2023 06:11
Last Modified: 02 Oct 2023 06:11
URI: http://classical.goforpromo.com/id/eprint/3953

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