| dc.description.abstract |
Recently, there is growth in scientific evidence that global climate has changed , is
changing and will continue to change. and Climate change is al so expected to aggravate
current stresses on water resources availabilit y clue to rapid population growth and
economic deve lopment. The major uncertainty in water resources management is the
variability of water supply and demand pertaining to changes in climatic variables and in
dynamics or river basins. Therefore. the water s upply potential of a river basin is
sensitive to land use and climate changes. Hence, in many river basins steady climatic
(stationary) conditions are no longer considered a valid assumption for sustainable water
resources management. The aim of the study is to assess the potential impact of climate
change on the water resources of Gumara watershed using reliability , resilience and
vulnerability indices.
Although quantitative estimation of effects of climate change water resources are
essential for understanding and solving the potential water resource management
problems associated with agriculture, power generation and water resource planning and
management; the coarser resolution of General Circulation Models (GCMs) does not
provide reliable estimates of meteorological variables at the appropriate scale required for
regional impact assessments. Hence more reliable meteorological variables
corresponding to future climate scenarios can be derived from GCMs outputs using the
so-called downscaling techniques. In the study area, there is better access to data from
1971 to 2000, which is taken as a standard of 30-years base period for downscaling using
Statistical downscaling model (SDSM). AR(l) and LARS-WG were used for fil ling in
. miss i ng data and to extend records at Woreta station respectively. I n th i s study SDSM is
used to downscale the HadCM3 GCM outputs, and dynamically downscaled RegCM3
scenario outputs are collected from IWMI to generate the possible future scenarios in the
Gumara wat ershed . After setting up and calibrating H E C -H MS hydrologica l model, the
downscaled meteorological variables were subsequentl y used as input to the model to
si m ulate th e co rresponding current and future stream n o w. CROPW.t \T is used to
esti mate future I rrigation requirement . F inally , the cli m ate change i mp act is assessed
using the Re liabi l ity , R esilience and Vulnerabilit y indices .
Generally the S DSM projected max imum and minimum temperature shows an increasing
trend for the next century , but the precipitation shows decrease trend. I t is also observed
that the reliabilit y inde x for all climate scenarios reveal above 91% , resi l ience inde x of
above 96% and Vu l nerab i lity of less than 3 0 %. Hence, it is concluded that it has high
capabilit y to meet the required target demand in 2 0 3 0s , and also it recover s q uic k ly from
a fa ilure to meet t he de mand to satisfying the targe t draft. Based on t he result of
performance i nd ices . the decision makers, concerned persons or an y w.uer u s ers in the
area can be as s ured that the proposed irrigation proj ect has very good potenti a I to irrig a t e
the re q uired area under 2 0 30 s cli m atic condition |
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