scholarly journals Application of HEC-HMS Model for Flow Simulation in the Lake Tana Basin: The Case of Gilgel Abay Catchment, Upper Blue Nile Basin, Ethiopia

Hydrology ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 21 ◽  
Author(s):  
Bitew G. Tassew ◽  
Mulugeta A. Belete ◽  
K. Miegel
Keyword(s):  
Sensitivity Analysis ◽  
Relative Error ◽  
Soil Conservation ◽  
Curve Number ◽  
Soil Conservation Service ◽  
Nile Basin ◽  
Lake Tana ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Lake Tana Basin

Understanding the complex relationships between rainfall and runoff processes is necessary for the proper estimation of the quantity of runoff generated in a watershed. The surface runoff was simulated using the Hydrologic Modelling System (HEC-HMS) for the Gilgel Abay Catchment (1609 km2), Upper Blue Nile Basin, Ethiopia. The catchment was delineated and its properties were extracted from a 30 m × 30 m Digital Elevation Model (DEM) of the Lake Tana Basin. The meteorological model was developed within HEC-HMS from rainfall data and the control specifications defined the period and time step of the simulation run. To account for the loss, runoff estimation, and flow routing, Soil Conservation Service Curve Number (SCS-CN), Soil Conservation Service Unit Hydrograph (SCS-UH) and Muskingum methods were used respectively. The rainfall-runoff simulation was conducted using six extreme daily time series events. Initial results showed that there is a clear difference between the observed and simulated peak flows and the total volume. Thereafter, a model calibration with an optimization method and sensitivity analysis was carried out. The result of the sensitivity analysis showed that the curve number is the sensitive parameter. In addition, the model validation results showed a reasonable difference in peak flow (Relative Error in peak, REP = 1.49%) and total volume (Relative Error in volume, REV = 2.38%). The comparison of the observed and simulated hydrographs and the model performance (NSE = 0.884) and their correlation (R2 = 0.925) showed that the model is appropriate for hydrological simulations in the Gilgel Abay Catchment.

Water balance of Lake Tana and its sensitivity to fluctuations in rainfall, Blue Nile basin, Ethiopia

2006 ◽  
Vol 316 (1-4) ◽  
pp. 233-247 ◽  
Author(s):  
S. Kebede ◽  
Y. Travi ◽  
T. Alemayehu ◽  
V. Marc
Keyword(s):  
Water Balance ◽  
Nile Basin ◽  
Lake Tana ◽  
Blue Nile ◽  
Blue Nile Basin

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

2021 ◽  
Author(s):  
Zelalem Leyew Anteneh ◽  
Melkam Meseret Alemu ◽  
Getnet Taye Bawoke ◽  
Alebachew Tareke Kehali ◽  
Mulugeta Chanie Fenta ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Decision Analysis ◽  
Groundwater Level ◽  
Groundwater Potential ◽  
Nile Basin ◽  
Blue Nile ◽  
Thematic Layers ◽  
Blue Nile Basin ◽  
Variation Index ◽  
Upper Blue Nile Basin

Abstract Ever increase in population growth and drastic climatic changes augment the demand and exploration of groundwater from time to time. An integrated approach of remote sensing (RS), geographic information system (GIS) and multicriteria decision analysis (MCDA) of analytical hierarchical process (AHP) were applied to delineate groundwater potential (GWP) zones in Andasa-Tul watershed, Upper Blue Nile Basin, Ethiopia. For this purpose, nine GWP influencing thematic layers comprising lithology, lineament density, geomorphology, slope, soil, drainage density, land use/land cover, rainfall and depth to groundwater level were used. The thematic layers and classes within them were given scale values based on literature and experts’ decision and calculated using Satty’s AHP. The thematic layers have been integrated via their weights/rates using weighted overlay spatial function tool of ArcGIS to provide GWP map. The result shows that GWP map comprises very good (13.4%), good (7%), moderate (23.6 %), poor (35.4%) and very poor (20.5%) zones. Validation of the GWP map with existing water point yields shows 84.21 % agreement indicating good accuracy of the method. The map removal sensitivity analysis result reveals that GWP is more sensitive to lithology (mean variation index, 1.92 %) and less sensitive to geomorphology (mean variation index, 0.59 %). Similarly, from the single layer sensitivity analysis, lithology and slope are found to be more effective parameters, whereas rainfall and depth to groundwater level are less effective variables.

Water balance of a lake with floodplain buffering: Lake Tana, Blue Nile Basin, Ethiopia

2015 ◽  
Vol 522 ◽  
pp. 174-186 ◽  
Author(s):  
Mekete Dessie ◽  
Niko E.C. Verhoest ◽  
Valentijn R.N. Pauwels ◽  
Enyew Adgo ◽  
Jozef Deckers ◽  
...  
Keyword(s):  
Water Balance ◽  
Nile Basin ◽  
Lake Tana ◽  
Blue Nile ◽  
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
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