Dynamics of Eutrophication and Its Linkage to Water Hyacinth on Lake Tana, Upper Blue Nile, Ethiopia: Understanding Land-Lake Interaction and Process

2020 ◽  
pp. 228-241
Author(s):  
Minychl G. Dersseh ◽  
Aron Ateka ◽  
Fasikaw A. Zimale ◽  
Abeyou W. Worqlul ◽  
Mamaru A. Moges ◽  
...  
Keyword(s):  
Water Hyacinth ◽  
Lake Tana ◽  
Blue Nile

Late Pleistocene and Holocene drought events at Lake Tana, the source of the Blue Nile

2011 ◽  
Vol 78 (3-4) ◽  
pp. 147-161 ◽  
Author(s):  
Michael H. Marshall ◽  
Henry F. Lamb ◽  
Dei Huws ◽  
Sarah J. Davies ◽  
Richard Bates ◽  
...  
Keyword(s):  
Late Pleistocene ◽  
Lake Tana ◽  
Blue Nile

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.

scholarly journals Potential of Water Hyacinth Infestation on Lake Tana, Ethiopia: A Prediction Using a GIS-Based Multi-Criteria Technique

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1921 ◽  
Author(s):  
Dersseh ◽  
Kibret ◽  
Tilahun ◽  
Worqlul ◽  
Moges ◽  
...  
Keyword(s):  
Water Hyacinth ◽  
Geographical Information ◽  
Lake Depth ◽  
Invasive Weed ◽  
Lake Tana ◽  
The North ◽  
Multi Criteria Evaluation ◽  
The World ◽  
Major Factors ◽  
And Control

Water hyacinth is a well-known invasive weed in lakes across the world and harms the aquatic environment. Since 2011, the weed has invaded Lake Tana substantially posing a challenge to the ecosystem services of the lake. The major factors which affect the growth of the weed are phosphorus, nitrogen, temperature, pH, salinity, and lake depth. Understanding and investigating the hotspot areas is vital to predict the areas for proper planning of interventions. The main objective of this study is therefore to predict the hotspot areas of the water hyacinth over the surface of the lake using the geographical information system (GIS)-based multi-criteria evaluation (MCE) technique. The main parameters used in the multi-criteria analysis were total phosphorus (>0.08 mg L−1), total nitrogen (>1.1 mg L−1), temperature (<26.2 °C), pH (<8.6), salinity (<0.011%), and depth (<6 m). These parameters were collected from 143 sampling sites on the lake in August, December (2016), and March (2017). Fuzzy overlay spatial analysis was used to overlay the different parameters to obtain the final prediction map of water hyacinth infestation areas. The results indicated that 24,969 ha (8.1%), 21,568.7 ha (7.1%), and 24,036 ha (7.9%) of the lake are susceptible to invasion by the water hyacinth in August, December, and March, respectively. At the maximum historical lake level, 30,728.4 ha will be the potential susceptible area for water hyacinth growth and expansion at the end of the rainy season in August. According to the result of this study, the north and northeastern parts of the lake are highly susceptible for invasion. Hence, water hyacinth management and control plans shall mainly focus on the north and northeastern part of Lake Tana and upstream contributing watersheds.

Water hyacinth: review of its impacts on hydrology and ecosystem services—Lessons for management of Lake Tana

2019 ◽  
pp. 237-251 ◽  
Author(s):  
Minychl G. Dersseh ◽  
Assefa M. Melesse ◽  
Seifu A. Tilahun ◽  
Mengiste Abate ◽  
Dessalegn C. Dagnew
Keyword(s):  
Ecosystem Services ◽  
Water Hyacinth ◽  
Lake Tana

Late Pleistocene desiccation of Lake Tana, source of the Blue Nile

2007 ◽  
Vol 26 (3-4) ◽  
pp. 287-299 ◽  
Author(s):  
Henry F. Lamb ◽  
C. Richard Bates ◽  
Paul V. Coombes ◽  
Michael H. Marshall ◽  
Mohammed Umer ◽  
...  
Keyword(s):  
Late Pleistocene ◽  
Lake Tana ◽  
Blue Nile

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
Sign in / Sign up

Export Citation Format

Share Document