Abstract:
Throughout the world, Land use/ land cover change impact on the reservoir is the main
concern for sustainability of water management and water use activities. Changes in land
use/ land cover is a fundamental variable that impacts on, and links many parts of the
global environment. The effects of land use/ land cover changes and improper management
systems have played a significant role in causing high soil erosion rates, sediment
transport and affects life expectancy of the reservoir and have an impact on the water
balance of the catchment by changing the magnitude and pattern of runoff, peak flow,
sediment yield and ground water levels.
The Finchaa watershed has an area of about 2863km
2
. For the analysis of land use/ land
cover change in the Finchaa watershed the Geographic Information System (GIS) version
based Soil and Water Assessment Tool (SWAT) has been used to evaluate sensitivities and
patterns of land use/ land cover changes in the Finchaa sub-basin. The aim of this study is
to evaluate the possible impacts of land use/ land cover Changes on sediment yield and
stream flow to Finchaa hydropower reservoir, located in western Oromia Regional state,
Ethiopia, Upper Blue Nile Basin.
The required input data for this study were Digital Elevation Model, Land use/ land cover
map, soil map and data, stream flow data and weather data. After the data was collected,
an analysis of all the collected data was made. Model calibration and uncertainty analysis
were performed with sequential uncertainty fitting (SUFI-2) that is linked with SWAT in
calibration Uncertainty program known as SWAT-CUP. The calibration process was used
to calibrate the model parameters using time series data from 1990 to 2002 and data from
2003 to 2011 were used to validate the model using the input parameters.
Twelve flow parameters were the most sensitive parameters for the stream flow of the study
area and used for the model calibration and validation. Calibration and validation of the
SWAT against streamflow in the Finchaa reservoir attained a coefficient of determination
(R
2
) and Nash- Sutcliffe (NS) were used to evaluate the performance of the model monthly.
Flow calibration gives coefficient of determination and Nash-Sutcliffe simulation
efficiency 0.83 & 0.74 respectively. Flow validation gives 0.86 & 0.83 for coefficient of
v
determination and Nash-Sutcliffe values respectively. This result indicates that the
observed values show good agreement with simulated value for stream flow.
Land use change scenarios were generated for four scenarios based on socio-economic
data and physical factors influencing the land use. The results of the Evaluation of land
use/land cover changes in Finchaa watershed show that land use changes can have
significant impacts on the Finchaa reservoir. From scenario simulation it was observed
that extreme deforestation (0% forest cover) likely due to growth in urbanization,
agriculture etc. exhibited an increase of about 0.210% in the water yield and 57.361% in
the sediment yield from base conditions. In case of afforestation (100% forest cover)
scenario the sediment yield decreased by about 16.207% and 0.160 % water yield.
Therefore, various land use mitigation measures were further evaluated based on
economic analysis as adaptation options to mitigate the land use/ land cover change
impacts and appropriate soil conservation measures based on suitable afforestation
techniques can prove influential in mitigating the risk of soil erosion in this Finchaa
watershed. Understanding how changes in individual land use types influence the
dynamics of streamflow and sediment yield would greatly improve the predictability of the
hydrological consequences of land use changes and could thus help stakeholders to make
better decisions