Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-5149-2014
https://doi.org/10.5194/hess-18-5149-2014
Research article
 | 
12 Dec 2014
Research article |  | 12 Dec 2014

Analyzing runoff processes through conceptual hydrological modeling in the Upper Blue Nile Basin, Ethiopia

M. Dessie, N. E. C. Verhoest, V. R. N. Pauwels, T. Admasu, J. Poesen, E. Adgo, J. Deckers, and J. Nyssen

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Cited articles

Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., and Srinivasan, R.: Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT, J. Hydrol., 333, 413–430, 2007.
Allen, R. G., Pereira, L. S., Raes D., and Smith, M.: Crop evapotranspiration. Guide- lines for computing crop water requirements, FAO Irrigation and Drainage Paper 56, FAO, Rome, 1998.
Antar, M. A., Elassiouti, I., and Allam, M. N.: Rainfall-runoff modeling using artificial neural networks technique: a Blue Nile catchment case study, Hydrol. Process., 20, 1201–1216, 2006.
Arnold, J. G., Srinivasin, R., Muttiah, R. S., and Williams, J. R.: Large Area Hydrologic Modeling and Assessment: Part I. Model Development, JAWRA J. Am. Water Resour. Assoc., 34, 73–89, 1998.
Bayabil, H. K., Tilahun, S. A., Collick, A. S., and Steenhuis, T. S.: Are runoff processes ecologically or topographically driven in the Ethiopian Highlands? The case of the Maybar, Ecohydrology, 3, 457–466, https://doi.org/10.1002/eco.170, 2010.
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Short summary
In this study, topography is considered as a proxy for the variability of most of the catchment characteristics. The model study suggests that classifying the catchments into different runoff production areas based on topography and including the impermeable rocky areas separately in the modeling process mimics the rainfall–runoff process in the Upper Blue Nile basin well and yields a useful result for operational management of water resources in this data-scarce region.