Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Application of Hydrological and Sediment Modeling with Limited Data in the Abbay (Upper Blue Nile) Basin, Ethiopia

View through CrossRef
In most developing countries, biophysical data are scarce, which hinders evidence-based watershed planning and management. To use the scarce data for resource development applications, special techniques are required. Thus, the primary goal of this study was to estimate sediment yield and identify erosion hotspot areas of the Andasa watershed with limited sediment concentration records. The hydrological simulation used meteorological, hydrological, suspended sediment concentration, 12.5 m Digital Elevation Model (DEM), 250 m resolution African Soil Information Service (AfSIS) soil, and 30 m resolution land-cover data. Using the limited sediment concentration data, a sediment rating curve was developed to estimate the sediment yield from discharge. The physical-based Soil and Water Assessment Tool (SWAT) model was employed to simulate streamflow and sediment yield in a monthly time step. The result shows that SWAT predicted streamflow with a coefficient of determination (R2) of 0.88 and 0.81, Nash–Sutcliffe Efficiency (NSE) of 0.88 and 0.80, and percent of bias (PBIAS) of 6.4 and 9.9 during calibration and validation periods, respectively. Similarly, during calibration and validation, the model predicted the sediment yield with R2 of 0.79 and 0.71, NSE of 0.72 and 0.66, and PBIAS of 2.7 and −8.6, respectively. According to the calibrated model result in the period 1992–2020, the mean annual sediment yield of the watershed was estimated as 17.9 t ha−1yr−1. Spatially, around 22% of the Andassa watershed was severely eroded, and more than half of the watershed (55%) was moderately eroded. The remaining 23% of the watershed was free of erosion risk. Therefore, the findings suggests that applying the sediment rating curve equation, in conjunction with hydrological and sediment modeling, can be used to estimate sediment yield and identify erosion hotspot areas in data-scarce regions of the Upper Blue Nile Basin in particular, and the Ethiopian highlands in general with similar environmental settings.
Title: Application of Hydrological and Sediment Modeling with Limited Data in the Abbay (Upper Blue Nile) Basin, Ethiopia
Description:
In most developing countries, biophysical data are scarce, which hinders evidence-based watershed planning and management.
To use the scarce data for resource development applications, special techniques are required.
Thus, the primary goal of this study was to estimate sediment yield and identify erosion hotspot areas of the Andasa watershed with limited sediment concentration records.
The hydrological simulation used meteorological, hydrological, suspended sediment concentration, 12.
5 m Digital Elevation Model (DEM), 250 m resolution African Soil Information Service (AfSIS) soil, and 30 m resolution land-cover data.
Using the limited sediment concentration data, a sediment rating curve was developed to estimate the sediment yield from discharge.
The physical-based Soil and Water Assessment Tool (SWAT) model was employed to simulate streamflow and sediment yield in a monthly time step.
The result shows that SWAT predicted streamflow with a coefficient of determination (R2) of 0.
88 and 0.
81, Nash–Sutcliffe Efficiency (NSE) of 0.
88 and 0.
80, and percent of bias (PBIAS) of 6.
4 and 9.
9 during calibration and validation periods, respectively.
Similarly, during calibration and validation, the model predicted the sediment yield with R2 of 0.
79 and 0.
71, NSE of 0.
72 and 0.
66, and PBIAS of 2.
7 and −8.
6, respectively.
According to the calibrated model result in the period 1992–2020, the mean annual sediment yield of the watershed was estimated as 17.
9 t ha−1yr−1.
Spatially, around 22% of the Andassa watershed was severely eroded, and more than half of the watershed (55%) was moderately eroded.
The remaining 23% of the watershed was free of erosion risk.
Therefore, the findings suggests that applying the sediment rating curve equation, in conjunction with hydrological and sediment modeling, can be used to estimate sediment yield and identify erosion hotspot areas in data-scarce regions of the Upper Blue Nile Basin in particular, and the Ethiopian highlands in general with similar environmental settings.

Related Results

Diffused and localized sediment production processes in a distributed transport model
Diffused and localized sediment production processes in a distributed transport model
<p>The identification of preferential sediment production areas within a river basin is essential to improve predictions of sediment load and its sources, and to iden...
The Blue Beret
The Blue Beret
When we think of United Nations (UN) peacekeepers, the first image that is conjured in our mind is of an individual sporting a blue helmet or a blue beret (fig. 1). While simple an...
The Songs of the Nile: from Abbay to the GERD
The Songs of the Nile: from Abbay to the GERD
Abstract The river Abbay, known internationally as the Blue Nile, holds profound cultural, emotional, and political significance in Ethiopia, serving as a symbol of identity, unity...
Sediment Transport On The River Bandon, Co. Cork, Ireland
Sediment Transport On The River Bandon, Co. Cork, Ireland
This thesis analyses sediment transport on the River Bandon, Co. Cork, Ireland. Bedload transport and suspended sediment transport were monitored on the River Bandon over an extend...
Drought Characterization Using Multiple Indices over the Abbay Basin, Ethiopia
Drought Characterization Using Multiple Indices over the Abbay Basin, Ethiopia
Analyzing agricultural and hydrological drought at different timescales is essential for designing adaptation strategies. This study aimed to assess agricultural and hydrological d...
Foreland basin systems
Foreland basin systems
A foreland basin system is defined as: (a) an elongate region of potential sediment accommodation that forms on continental crust between a contractional orogenic belt and the adja...

Back to Top