HYDROLOGIC RESPONSE TO LAND USE/LAND COVER CHANGE IN THE GENALE DAWA RIVER BASIN, ETHIOPIA
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Date
2019-08-06
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Hawassa University
Abstract
Land use land cover change has been one of factors responsible for altering the streamflow of the
watershed on the Genale Dawa river basin leading to impacting river flows. The study mainly focused
on estimating land use land cover change on streamflow. Land use land cover maps of 1986 and 2013
were obtained from Ethiopian Mapping Agency. The maximum likelihood algorithm of supervised
classification was used in ERDAS Imagine 2014 software tool. A physical based, semi-distributed
hydrological model, SWAT was used to investigate the impact of land cover change on streamflow of
Genale Dawa River Basin gauged at Halwen. Land cover change analysis has shown an increment of
cultivated land from 9.5% to 17.6%, agriculture land 9.1% to 19%, and built up areas 5.2% to 14.4%,
while a decrement in the forest area from 31.15% to 19%, and water body from 7.2% to 7%, shrub
land from 15.9% to 8.2%, Wet land from 8.8% to 4.9% and Grass land from 13.2% to 9.6% between
1986 and 2013. The performance of the SWAT model was evaluated through sensitivity analysis,
calibration and validation. The model was calibrated using flow data from 1990 to 2001 including 2
year warm-up period and validated using data 2002 to 2007. Both the calibration and validation result
show good agreement between observed and simulated stream flow with NSE and R
2
values of 0.86
and 0.88 for calibration and NSE are 0.84 and 0.85 for validation. Sensitivity analysis has shown that
the curve number is the most sensitive parameter that affects stream flow of the watershed. The result
of this study indicated that the mean monthly stream flow were increased by 8.5% for wet season
and decreased by 3% in the dry season over 30 year’s period. As a result it might be possible to
conclude that for the catchments the impacts were significant. Therefore, it can be deduced that LULC
impact for the study area might be the most sensitive than the propagated uncertainty on catchment
flow.
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Keywords
words: Land use land cover change, SWAT Modeling, ERDAS Imagine Model, Remote Sensing, Genale Dawa River Basin, Ethiopia
