Seasonal Rainfall–Runoff Variability Analysis, Lake Tana Sub-Basin, Upper Blue Nile Basin, Ethiopia

2015 ◽  
pp. 341-363 ◽  
Author(s):  
Mengistu A. Jemberie ◽  
Adane A. Awass ◽  
Assefa M. Melesse ◽  
Gebiaw T. Ayele ◽  
Solomon S. Demissie
Keyword(s):  
Seasonal Rainfall ◽  
Rainfall Runoff ◽  
Nile Basin ◽  
Lake Tana ◽  
Blue Nile ◽  
Variability Analysis ◽  
Blue Nile Basin ◽  
Runoff Variability ◽  
Upper Blue Nile Basin

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

2014 ◽  
Vol 18 (12) ◽  
pp. 5149-5167 ◽  
Author(s):  
M. Dessie ◽  
N. E. C. Verhoest ◽  
V. R. N. Pauwels ◽  
T. Admasu ◽  
J. Poesen ◽  
...  
Keyword(s):  
Water Resources ◽  
Rainfall Runoff ◽  
Nile Basin ◽  
Blue Nile ◽  
Direct Runoff ◽  
Blue Nile Basin ◽  
Hard Soil ◽  
Production Areas ◽  
Runoff Production ◽  
Upper Blue Nile Basin

Abstract. Understanding runoff processes in a basin is of paramount importance for the effective planning and management of water resources, in particular in data-scarce regions such as the Upper Blue Nile. Hydrological models representing the underlying hydrological processes can predict river discharges from ungauged catchments and allow for an understanding of the rainfall–runoff processes in those catchments. In this paper, such a conceptual process-based hydrological model is developed and applied to the upper Gumara and Gilgel Abay catchments (both located within the Upper Blue Nile Basin, the Lake Tana sub-basin) to study the runoff mechanisms and rainfall–runoff processes in the basin. Topography is considered as a proxy for the variability of most of the catchment characteristics. We divided the catchments into different runoff production areas using topographic criteria. Impermeable surfaces (rock outcrops and hard soil pans, common in the Upper Blue Nile Basin) were considered separately in the conceptual model. Based on model results, it can be inferred that about 65% of the runoff appears in the form of interflow in the Gumara study catchment, and baseflow constitutes the larger proportion of runoff (44–48%) in the Gilgel Abay catchment. Direct runoff represents a smaller fraction of the runoff in both catchments (18–19% for the Gumara, and 20% for the Gilgel Abay) and most of this direct runoff is generated through infiltration excess runoff mechanism from the impermeable rocks or hard soil pans. The study reveals that the hillslopes are recharge areas (sources of interflow and deep percolation) and direct runoff as saturated excess flow prevails from the flat slope areas. Overall, the model study suggests that identifying 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.

scholarly journals Modelling rainfall–runoff processes of the Chemoga and Jedeb meso-scale catchments in the Abay/Upper Blue Nile basin, Ethiopia

2015 ◽  
pp. 1-18 ◽  
Author(s):  
Sirak Tekleab ◽  
Stefan Uhlenbrook ◽  
Hubert H.G. Savenije ◽  
Yasir Mohamed ◽  
Jochen Wenninger
Keyword(s):  
Rainfall Runoff ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Meso Scale ◽  
Upper Blue Nile Basin

Hydrological Balance of Lake Tana, Upper Blue Nile Basin, Ethiopia

2011 ◽  
pp. 69-89 ◽  
Author(s):  
Tom H.M. Rientjes ◽  
Janaka B.U. Perera ◽  
Alemseged T. Haile ◽  
Ambro S.M. Gieske ◽  
Martijn J. Booij ◽  
...  
Keyword(s):  
Nile Basin ◽  
Lake Tana ◽  
Blue Nile ◽  
Hydrological Balance ◽  
Blue Nile Basin ◽  
Upper Blue Nile Basin

Performance of bias corrected MPEG rainfall estimate for rainfall-runoff simulation in the upper Blue Nile Basin, Ethiopia

2018 ◽  
Vol 556 ◽  
pp. 1182-1191 ◽  
Author(s):  
Abeyou W. Worqlul ◽  
Essayas K. Ayana ◽  
Ben H.P. Maathuis ◽  
Charlotte MacAlister ◽  
William D. Philpot ◽  
...  
Keyword(s):  
Rainfall Runoff ◽  
Nile Basin ◽  
Runoff Simulation ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Upper Blue Nile Basin

scholarly journals Analyzing runoff processes through conceptual hydrological modelling in the Upper Blue Nile basin, Ethiopia

2014 ◽  
Vol 11 (5) ◽  
pp. 5287-5325 ◽  
Author(s):  
M. Dessie ◽  
N. E. C. Verhoest ◽  
V. R. N. Pauwels ◽  
T. Admasu ◽  
J. Poesen ◽  
...  
Keyword(s):  
Water Resources ◽  
Rainfall Runoff ◽  
Nile Basin ◽  
Blue Nile ◽  
Direct Runoff ◽  
Blue Nile Basin ◽  
Hard Soil ◽  
Production Areas ◽  
Runoff Production ◽  
Upper Blue Nile Basin

Abstract. Understanding runoff processes in a basin is of paramount importance for the effective planning and management of water resources, in particular in data scarce regions of the Upper Blue Nile. Hydrological models representing the underlying hydrological processes can predict river discharges from ungauged catchments and allow for an understanding of the rainfall–runoff processes in those catchments. In this paper, such a conceptual process-based hydrological model is developed and applied to the upper Gumara and Gilgel Abay catchments (both located within the Upper Blue Nile basin, the Lake Tana sub-basin) to study the runoff mechanisms and rainfall–runoff processes in the basin. Topography is considered as a proxy for the variability of most of the catchment characteristics. We divided the catchments into different runoff production areas using topographic criteria. Impermeable surfaces (rock outcrops and hard soil pans, common in the Upper Blue Nile basin) were considered separately in the conceptual model. Based on model results, it can be inferred that about 65% of the runoff appears in the form of interflow in the Gumara study catchment, and baseflow constitutes the larger proportion of runoff (44–48%) in the Gilgel Abay catchment. Direct runoff represents a smaller fraction of the runoff in both catchments (18–19% for the Gumara, and 20% for the Gilgel Abay) and most of this direct runoff is generated through infiltration excess runoff mechanism from the impermeable rocks or hard soil pans. The study reveals that the hillslopes are recharge areas (sources of interflow and deep percolation) and direct runoff as saturated excess flow prevails from the flat slope areas. Overall, the model study suggests that identifying the catchments into different runoff production areas based on topography and including the impermeable rocky areas separately in the modeling process mimics well the rainfall–runoff process in the Upper Blue Nile basin and brings a useful result for operational management of water resources in this data scarce region.

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