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Research Article

Assessment of spatial and temporal distribution of surface water balance in a data-scarce African transboundary river basin

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Pages 1561-1581 | Received 05 Jan 2022, Accepted 10 May 2022, Published online: 27 Jul 2022
 

ABSTRACT

Assessment of the spatial and temporal distribution of surface water balance (SWB) components for a river basin having complex topography with limited observed data is challenging. This paper focused on estimating the spatial-temporal variability of long-term average monthly, seasonal, and annual SWB components using the modified Water Energy Transfer between Soil, Plants, and Atmosphere in Steady State (WetSpass-M) physically based hydrological model in Ethiopia’s data-scarce Omo River basin. Further, the model output was used for estimating the spatial variation of the average monthly crop water deficit. A sensitivity analysis was performed on the global and local parameters of the model for analysing the relative variation in the SWB components. It was found that actual evapotranspiration (AET) and interception are insensitive to average rainfall intensity while surface runoff is highly sensitive. The variation of SWB under different combinations of land-use/land cover (LU/LC) and soil type indicates that SWB types such as surface runoff, AET, and interception are influenced more by LU/LC than by soil type.

Editor A. Castellarin; Associate editor A. Petroselli

Editor A. Castellarin; Associate editor A. Petroselli

Acknowledgements

The first author thanks the Ministry of Science & Higher Education (MoSHE) for financial support. In addition, Ethiopian regional offices such as OWWCE (Oromia Water Work and Construction Enterprise), SCDSE (South Construction and Design Supervision Enterprise), and SWWCE (South Water Work and Construction Enterprise), and federal offices such as MoWIE (Ministry of Water Irrigation and Energy) and ECDSI (Ethiopia Construction and Design Supervision Enterprise) are appreciated for their major contribution in terms of robust data provision for this research work.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Water Resources Research Center, Arba Minch University, Ethiopia. Project funding code: [GOV/AMU/TH31/AWTI/WRRC/01/13].
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