Abstract

Abstract. Understanding catchment hydrological processes is essential for water resources management, in particular in data scarce regions. The Gilgel Abay catchment (a major tributary into Lake Tana, source of the Blue Nile) is undergoing intensive plans for water management, which is part of larger development plans in the Blue Nile basin in Ethiopia. To obtain a better understanding of the water balance dynamics and runoff generation mechanisms and to evaluate model transferability, catchment modeling has been conducted using the conceptual hydrological model HBV. Accordingly, the catchment of the Gilgel Abay has been divided into two gauged sub-catchments (Upper Gilgel Abay and Koga) and the un-gauged part of the catchment. All available data sets were tested for stationarity, consistency and homogeneity and the data limitations (quality and quantity) are discussed. Manual calibration of the daily models for three different catchment representations, i.e. (i) lumped, (ii) lumped with multiple vegetation zones, and (iii) semi-distributed with multiple vegetation and elevation zones, showed good to satisfactory model performances with Nash-Sutcliffe efficiencies Reff > 0.75 and > 0.6 for the Upper Gilgel Abay and Koga sub-catchments, respectively. Better model results could not be obtained with manual calibration, very likely due to the limited data quality and model insufficiencies. Increasing the computation time step to 15 and 30 days improved the model performance in both sub-catchments to Reff > 0.8. Model parameter transferability tests have been conducted by interchanging parameters sets between the two gauged sub-catchments. Results showed poor performances for the daily models (0.30 < Reff < 0.67), but better performances for the 15 and 30 days models, Reff > 0.80. The transferability tests together with a sensitivity analysis using Monte Carlo simulations (more than 1 million model runs per catchment representation) explained the different hydrologic responses of the two sub-catchments, which seems to be mainly caused by the presence of dambos in Koga sub-catchment. It is concluded that daily model transferability is not feasible, while it can produce acceptable results for the 15 and 30 days models. This is very useful for water resources planning and management, but not sufficient to capture detailed hydrological processes in an ungauged area.

Highlights

  • The Nile Basin is shared by ten riparian countries and is the life source for more than 160 million people living in the basin

  • In the Upper Gilgel Abay 228 087; 158 954 and 95 043 Monte Carlo simulations (MCS) resulted in Reff > 0.75 for catchment representations (CRs)-I, CR-II and CR-III, respectively; in Koga these are 497; 202 and 1922 parameter sets that yielded Reff > 0.6

  • A major portion of the rainfall received in Upper Gilgel Abay leaves the catchment quickly as direct runoff, while most of the rainfall falling in the Koga is rather stored and released afterwards by evapotranspiration and base flow

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Summary

Introduction

The Nile Basin is shared by ten riparian countries and is the life source for more than 160 million people living in the basin. The Blue Nile, originating from the Ethiopian Plateau, is the major source of the Nile water, contributing to more than 60% of the Nile total flow at Aswan in Egypt (Conway and Hulme, 1993; Sutcliffe and Parks, 1999). A number of studies have been conducted on the Nile River; due to absence of data and other priorities very few cover the hydrology of the Blue Nile and the Upper Blue Nile in particular. The old USBR study from 1964 on development options in the Upper Blue Nile is the most cited reference in the literature

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