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    <title>DSpace Collection: ILS Proceedings - The 19th Annual Conference</title>
    <link>http://etd.aau.edu.et:80/dspace/handle/123456789/1344</link>
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    <item>
      <title>LEVELS, DIFFERENTIALS AND DETERMINANTS OF MALNUTRITION AMONG WOMEN IN ETHIOPIA</title>
      <link>http://etd.aau.edu.et:80/dspace/handle/123456789/1427</link>
      <description>Title: LEVELS, DIFFERENTIALS AND DETERMINANTS OF MALNUTRITION AMONG WOMEN IN ETHIOPIA
&lt;br/&gt;
&lt;br/&gt;Authors: FIKREWOLD HADDIS
&lt;br/&gt;
&lt;br/&gt;Abstract: ABSTRACT&#xD;
The millennium development goal (MDG 5) of reducing maternal mortality by three quarters&#xD;
between 1990 and 2015 is highly related with poor women’s nutritional status. Poor maternal&#xD;
nutrition is directly associated with mother’s resistance to infection or maternal ill health&#xD;
during pregnancy and child birth. Therefore providing obstetric care alone is not going to be&#xD;
enough solution for the problem, unless otherwise poor women’s nutritional status is&#xD;
resolved. In depth understanding women’s nutritional status is therefore crucial in any&#xD;
attempt to attain the goal of reducing maternal mortality level and food security. In this&#xD;
regard, this study examines the levels, differentials and determinants of malnutrition among&#xD;
women in Ethiopia.&#xD;
The main purpose of the study is to assess the levels, socio-economic and demographic&#xD;
differentials and to analyse their determinants. The paper uses the large data set from the&#xD;
2005 Ethiopian demographic and health survey on 4080 non pregnant and non lactating&#xD;
women aged 15-49 in rural and urban parts of the country. Women’s body mass index&#xD;
(Kg/m2) is used for the purpose of analysing women’s nutritional status and those with BMI&#xD;
value less than 18.5 are at risk of chronic energy deficiency (CED). Logistic regression model&#xD;
was employed at multivariate analysis to identify important determinant factors of women’s&#xD;
malnutrition.&#xD;
The study reveals that 27.6 percent of the women are malnourished of which 23.1 percent are&#xD;
moderately and 4.5 percent are severely deprived. Levels were almost 2 times higher in rural&#xD;
areas than urban areas. The study identifies women’s age, parity, current marital status,&#xD;
place of residence, region, house hold economic status, occupation and women decision&#xD;
making autonomy as important factors in explaining the variation in women’s nutritional&#xD;
status. In rural areas non educated women in the age group 15-19 and 45-49, living in&#xD;
regions Tigray ,Gambella Amhara Ben-shangul Gumuz and Somali are found to be under&#xD;
nourished. In urban areas where as never married and divorced women, with poor and very&#xD;
poor household economic status living in regions Tigray and Gambella are at risk.Hence to improve the situation the Policy should focus on creating mechanisms and&#xD;
opportunities to increase agricultural production and women’s education as well as&#xD;
providing better access to health care, particularly, in rural areas.
&lt;br/&gt;
&lt;br/&gt;Description: A THESIS SUBMITTED TO:&#xD;
THE SCHOOL OF GRADUATE STUDIES&#xD;
ADDIS ABABA UNIVERSITY&#xD;
IN PARTIAL FULFILLMENT OF THE REQUREMENTS FOR THE&#xD;
DEGREE OF MASTER OF SCIENCE IN POPULATION STUDIES</description>
      <pubDate>Wed, 15 Oct 2008 14:09:04 GMT</pubDate>
    </item>
    <item>
      <title>DEMOGRAPHIC AND SOCIO-ECONOMIC CORRELATES OF AGRICULTURAL INCOME IN SIBU-SIRE DISTRICT, EAST WELLEGA OF OROMIA, ETHIOPIA</title>
      <link>http://etd.aau.edu.et:80/dspace/handle/123456789/1426</link>
      <description>Title: DEMOGRAPHIC AND SOCIO-ECONOMIC CORRELATES OF AGRICULTURAL INCOME IN SIBU-SIRE DISTRICT, EAST WELLEGA OF OROMIA, ETHIOPIA
&lt;br/&gt;
&lt;br/&gt;Authors: DANIEL EBBA
&lt;br/&gt;
&lt;br/&gt;Abstract: ABSTRACT&#xD;
The main objective of this study was to examine the demographic and socio economic&#xD;
correlates of agricultural income in Sibu Sire district, East Wellega Zone. The basic data for&#xD;
the study was obtained from randomly selected households on the basis of survey&#xD;
questionnaire, FGDs and Key informant’s using checklists and guidelines.&#xD;
Various descriptive statistics like percentages, means, and coefficient of variations were&#xD;
employed to analyze the data. The findings show that demographic variables like age, marital&#xD;
status, and household size have a direct impact on income generated from agricultural&#xD;
productions. In this case married respondents have more income than the other forms of&#xD;
marital status. Concerning age of the respondents, older age groups have more income than&#xD;
the younger age groups. From socio-economic correlates farm size and farm inputs (like&#xD;
fertilizer, pesticide and improved seed) have direct relation with the amount of income&#xD;
generated from agricultural productions.&#xD;
On the basis of the findings of the study, the following key recommendations are forwarded:&#xD;
• Attempts being made at present to increase agricultural productivity have to be&#xD;
strengthened and encouraged.&#xD;
• Measures should be taken to efficiently utilize human resources in order to improve&#xD;
agricultural income.&#xD;
• Special attention should also be given for the stability of marriage.&#xD;
• Proper attention should be given for how to use and manage farm lands because a&#xD;
given household head on average in Ethiopia has nearly half a hectare.&#xD;
• The emphasis given for the provision and dissemination of modern farm inputs like&#xD;
fertilizer, pesticide and selected seed by the governments and other stakeholders&#xD;
should be strengthen.
&lt;br/&gt;
&lt;br/&gt;Description: IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF&#xD;
MASTER OF SCIENCE IN POPULATION STUDIES</description>
      <pubDate>Wed, 15 Oct 2008 14:03:49 GMT</pubDate>
    </item>
    <item>
      <title>CAUSES OF ROAD TRAFFIC ACCIDENTS AND POSSIBLE COUNTER MEASURES ON ADDIS ABABA-SHASHEMENE ROADS</title>
      <link>http://etd.aau.edu.et:80/dspace/handle/123456789/1425</link>
      <description>Title: CAUSES OF ROAD TRAFFIC ACCIDENTS AND POSSIBLE COUNTER MEASURES ON ADDIS ABABA-SHASHEMENE ROADS
&lt;br/&gt;
&lt;br/&gt;Authors: Getu Segni
&lt;br/&gt;
&lt;br/&gt;Abstract: ABSTRACT&#xD;
Road traffic accidents occur as a result of several factors associated with the traffic system,&#xD;
namely: road users, road environment and vehicles. In year 2004/5, 93% of all accidents&#xD;
involved human factors, 5% accounted for vehicle factors, and 2% were associated with road&#xD;
environments according to the Federal police report. Despite having low road network density&#xD;
and vehicle ownership, Ethiopia has a relatively high accident records. In this regards, the&#xD;
traffic accident death rate per ten thousand motor vehicles in 2001/02-2004/5 was in the range&#xD;
of 129 and 145. Road accidents are concentrated in few of the regions in the country. The&#xD;
capital city of Addis Ababa and Oromia region account for 58 per cent of all fatal accidents&#xD;
and two thirds of all injuries.&#xD;
This study is carried out to identify black spots and possible causes of road traffic accidents&#xD;
and to identify low cost engineering countermeasures. The research is done by reviewing road&#xD;
traffic growth, the existing legislative framework of road transport, and road traffic accidents&#xD;
for the last four years in the country. Previous studies were also reviewed having access to the&#xD;
information in other countries in order to understand the existing knowledge and experiences.&#xD;
Road and traffic data were collected from fieldwork and accident data were gathered from&#xD;
pertinent police stations. Each accident spots was measured with reference to kilo meter post&#xD;
that is available in the Addis Ababa-Shashemene road. A total of 1108 reported accidents&#xD;
were collected out of which 309 were fatal accidents, 206 were serious injuries, and 86 were&#xD;
slight injuries and 507 were property damages.&#xD;
Statistical analysis was made on the collected accident data. The characteristics of accident in&#xD;
built-up (towns) and non built up (rural) areas were tabulated and analyzed separately. Fortysix&#xD;
per cent of the accidents occurred in built-up areas, which covered only 17.7 percent of the&#xD;
study road length. Pedestrian accidents and multiple-vehicle accidents were dominated in&#xD;
urban areas. Single vehicle non-pedestrian and rollover accidents were higher in non-built-up&#xD;
areas. Fifty-two percent of the accidents occurred at tangent and level section of the roads.&#xD;
This is associated with speed limit violation. The results of the study indicated that increases&#xD;
in accident rates were highly associated with gradient and sharp curves. ADT, numbers of lanes and grade have positive relationships with accident rates i.e. the section with less traffic,&#xD;
lanes and grades resulted in less accident rates whenever these variables increased.&#xD;
Similarly, accidents were plotted using GIS software and nine accident black spots were&#xD;
identified. Out of these, six were on scheme roads and three were at intersections. Greater or&#xD;
equal to ninety percentile of accident rate for schemes and junctions were applied in order to&#xD;
select these dangerous sections. At ninety percentile, rate of accident was 3.459 Mvkm for&#xD;
scheme. Six road sections were found above either of the two accident rates. In case of&#xD;
junctions, ninety percentile was 0.728626 Mv junctions. Three spots had above the ninth&#xD;
percentile value and considered for in-depth study.&#xD;
The main causes of accidents at black spots were identified to be unavailability of proper&#xD;
pedestrian facilities, high volume of pedestrian traffic, drivers’ fatigue, lack of awareness of&#xD;
traffic rules and regulations, and violation of speed limit. In addition, densities of accidents&#xD;
per kilometer were verified as a function of access points in towns. Narrow bridges,&#xD;
inadequate sight distances at curves, road curvature, no proper traffic signs, and faded road&#xD;
markings are usually causes of accidents.&#xD;
Finally, low cost engineering measures are recommended to reduce the number of road&#xD;
accidents at identified black spots and other sections. However, the effect should be evaluated&#xD;
after some period.</description>
      <pubDate>Wed, 15 Oct 2008 13:56:09 GMT</pubDate>
    </item>
    <item>
      <title>STREAM FLOW SIMULATION FOR THE UPPER AWASH BASIN</title>
      <link>http://etd.aau.edu.et:80/dspace/handle/123456789/1424</link>
      <description>Title: STREAM FLOW SIMULATION FOR THE UPPER AWASH BASIN
&lt;br/&gt;
&lt;br/&gt;Authors: Shimelis Behailu
&lt;br/&gt;
&lt;br/&gt;Abstract: Abstract&#xD;
The Awash Basin is the most utilized and most developed basin in Ethiopia. After the&#xD;
construction of the Koka dam the feature of the basin is changed in large extent. Heavy&#xD;
rainfall in the upstream catchments causes large inflow discharges to Koka Lake. At&#xD;
times where the water level is already close to the maximum water level, the excess&#xD;
water must be discharged through the spillways in order to prevent overtopping of the&#xD;
dam. The discharge through the spillway, together with the water discharged through&#xD;
the power plant turbines, has in the past caused flooding in the downstream areas, most&#xD;
notably in August 1996. To prevent the downstream areas from flooding, the water&#xD;
level in the lake could be lowered in advance provided the inflows could be forecasted.&#xD;
For this reason, the FEWS-SFM was calibrated for the Upper Awash Basin using five&#xD;
years (1991-1995) of stream flow and rainfall records. The model was verified using&#xD;
another five years data (1996-2000). Ground observed data were used for the&#xD;
calibration for both the physical characteristics of the basin and the dynamic inputs:&#xD;
rainfall and potential evapotranspiration.&#xD;
Simulation was done in three scenarios of defining the basin. First the basin is defined&#xD;
to have a single outlet at Melka Hombole hydrologic station. The second scenario&#xD;
divided the basin into six subbasins and the last scenario is made by dividing the&#xD;
catchment to thirty five subbasins. It is seen that the second scenario represented the&#xD;
rainfall runoff to an acceptable range both visually and statistically. The Nash and&#xD;
Sutcliff goodness of criteria (R2) was used for testing the model performance. R2 =&#xD;
0.63 was obtained for the calibration and the verification yield R2 = 0.6.&#xD;
The simulation of the basin has underestimated the peak summer (July – August) and&#xD;
overestimated flow from March to June. The dry period flow is underestimated.&#xD;
However, further refinement of the DEM and investigation on the DEM and&#xD;
investigation on the way soil properties influencing the rainfall runoff process in the&#xD;
model may improve the model main rainy period flow and overestimation of the small&#xD;
rainfall period. From the results obtained further investigation on the way soil&#xD;
properties influencing the rainfall runoff process in the model is necessary.
&lt;br/&gt;
&lt;br/&gt;Description: A thesis submitted to School of Graduate Studies,&#xD;
Addis Ababa University in partial fulfillment for the&#xD;
Degree of Masters of Science in Civil Engineering</description>
      <pubDate>Wed, 15 Oct 2008 13:45:57 GMT</pubDate>
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