FLOOD MAPPING ON GREAT AKAKI RIVER IN ADDIS ABABA, AKAKI KALITY SUB-CITY
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Date
2019-12-19
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Hawassa University
Abstract
In recent years, the patterns of flood across all continents have been changing and
becoming more frequent, intense and leading the people to face risks. Therefore, the risk
should be investigated and quantified properly. The objective of this thesis was to develop
flood inundation maps of Great Akaki river in Addis Ababa, Akaki Kality sub-city.
Streamflow, digital Elevation model (12.5*12.5 m) resolution and land use data were used
as an input for the RAS mapper in HECRAS model. The 2D-HECRAS and ArcGIS models
were used for mapping the flood extent, depth and velocity for various return periods. The
Mann-Whitney and Wald-Wolfowitz statistical tests were used to hydrological data test.
The basic assumption in statistical flood frequency analysis for its homogeneity,
independency and stationarity of the time series at 5% significance level. The Easy fit 5.0
software was used to fit and identify the parent probability distribution for the streamflow
data. The frequency analysis result depicts that Log-Normal probability distribution with
3 parameters best fitted the flood time series. The estimated quintiles for 2, 5, 10, 25, 50
and 100 years return periods were found to be 210.29, 333.04, 453.16, 626.19, 769.75, and
925.41 m3
/s respectively. The 2D-HECRAS model output indicated that about
86,123,156,228,285, and 350 ha land has been inundated for an event of 2, 5, 10, 25, 50
and 100 years of return period respectively. The 100 years flood magnitude inundated
about 78, 272 and 34 ha of irrigated command area, swamp area and population settlement
respectively. Flood risk map was developed based on hazard and vulnerability indicators.
A preliminary alignment of structural flood protection dike was identified with length of
1.5km at downstream and 0.5 km at upstream of bridge which would make 95% of the
settlement area on the left bank safe. The study has shown that the middle and lower part
the study area is more inundated than upper parts. Therefore, the affected areas were
whether to be free of infrastructure development, investment and residence of people or
construct flood protection structure in order to avoid the risk of flooding in the area
especially closer to the Great Akaki River.
Description
Keywords
HEC-RAS, Flood Inundation, Quintile estimation, ArcGIS, and Great Akaki River
