| dc.description.abstract |
The purpose of this study was analyzing and characterizing low flow in Abaya
chamo river sub basin.
Flow duration curves of 1, 7, 10, 30 day have been plotted for 17 stations. Base
flow separation has been computed using one day annual minimum by USGS
computer program called Institute of Hydrology Method,
Low flow frequency has also been done for the Abaya- chamo river basin using
annual daily minimum low flow series. L- Moment ratio diagram was used to
group stations to same region and identifies the underlying statistical
distribution. Accordingly four homogeneous regions were delineated using a
simple test based on the variability of at-site values of Cv. In assessing the
suitability fitted regional distribution, the goodness of fit measure statistic (z) and
minimum standard error of estimate were used. The GLL distribution provides a good fit to low flows in regions one, while Gpa distribution fits well in region two,
GEV fits region three and wakeby to region four. The method of probability
weighted moments is considered as the best parameter estimation procedure
compares with the method of moments.
Moreover regression analysis has been applied to develop regression models
for the delineated four regions to predict mean annual daily minimum flow from
un-gauged catchments using catchments characteristics. The multiple
coefficient of determination, R2,
is used as a measure of the ability of the
regression model to describe variations in the dependent variable. The closer R2
is to one, the better the regression model fits the data. The value of R2
is equal
to 0.75 for region one and two, R2
is equal to 0.916 for region three and 0.792
for region four . Also a regional low flow frequency curves are established for
the entire delineated regions using standardized flow data for the purpose of
estimating low flow quintiles of un-gagged catchments |
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