<?xml version="1.0" encoding="UTF-8"?><feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Environmental Science Management</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/27" rel="alternate"/>
<subtitle/>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/27</id>
<updated>2026-06-25T16:24:03Z</updated>
<dc:date>2026-06-25T16:24:03Z</dc:date>
<entry>
<title>ASSESSMENT OF AMBIENT AIR QUALITY IN HARAR CITY, ETHIOPIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/8670" rel="alternate"/>
<author>
<name>Mubeshir Kedir Ahmed</name>
</author>
<author>
<name>Mengistu Mengesha (PhD)</name>
</author>
<author>
<name>Arbo Feyisa (Asst. Professor)</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/8670</id>
<updated>2026-06-18T06:35:35Z</updated>
<published>2025-03-01T00:00:00Z</published>
<summary type="text">ASSESSMENT OF AMBIENT AIR QUALITY IN HARAR CITY, ETHIOPIA
Mubeshir Kedir Ahmed; Mengistu Mengesha (PhD); Arbo Feyisa (Asst. Professor)
Air pollution is responsible for an estimated 7 million deaths across the globe due to fossil fuel&#13;
burning, vehicular emissions, factories, industries and other activities. Despite vulnerability of&#13;
communities living in close proximity to major roadways and factories, no scientific studies&#13;
explored the ambient air quality of Harar city. The objective of this study was to assess the&#13;
concentration levels of particulate matters (PM2.5 and PM10) Carbon monoxide (CO), Sulphur&#13;
dioxide (SO2), and Nitrogen dioxide (NO2), and compare them against both Ethiopian and World&#13;
Health Organization (WHO) guidelines to determine exceedance levels and spatial distribution&#13;
of the pollutants in the Harar city. Measurements were taken across various sample points&#13;
within the city, providing a comprehensive overview of spatial distribution and pollutant&#13;
concentrations. A total of 21 air samples at each of 16 junctions for each parameter for 7 days&#13;
using Aeroqual’s Series 500 handheld portable device. Moreover, maps of the selected criteria&#13;
air pollutants were created and visualized to represent the spatial distributions of the pollutants&#13;
in Harar City. Data analysis revealed that the average concentrations of PM2.5, PM10, CO, SO2,&#13;
and NO2 were 79.77µg/m³, 185.33 µg/m³, 2586.51 µg/m³, 47.42 µg/m³, and 216.49 µg/m³,&#13;
respectively. Among these values, PM2.5, PM10 and NO2 significantly exceeded both WHO and&#13;
Ethiopian air quality guidelines. Carbon monoxide and SO2 also showed high exceedance levels&#13;
from WHO guidelines indicating a critical issue with air quality in Harar City even though they&#13;
were within the national guidelines. This study indicates the urgent need for effective mitigation&#13;
strategies to improve air quality and protect public health in Harar. Thus, better urban planning, promoting the use of cleaner energy sources, and implementing stringent emissions regulations&#13;
for both industrial and vehicular sources could improve ambient air quality of the city.
87p.
</summary>
<dc:date>2025-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>MUNICIPAL SOLID WASTE GENERATION, CHARACTERIZATION AND MANAGEMENT PRACTICES IN AREKA TOWN ADMINISTRATION, WOLAITA ZONE, SOUTHERN REGION, ETHIOPIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/7970" rel="alternate"/>
<author>
<name>Aklilu Habte Hankore</name>
</author>
<author>
<name>(PhD)  Mengistu Mengesha</name>
</author>
<author>
<name>(PhD)   Manikandan</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/7970</id>
<updated>2024-12-16T08:11:06Z</updated>
<published>2024-06-01T00:00:00Z</published>
<summary type="text">MUNICIPAL SOLID WASTE GENERATION, CHARACTERIZATION AND MANAGEMENT PRACTICES IN AREKA TOWN ADMINISTRATION, WOLAITA ZONE, SOUTHERN REGION, ETHIOPIA
Aklilu Habte Hankore; (PhD)  Mengistu Mengesha; (PhD)   Manikandan
Municipal Solid Waste, solid waste generation, solid waste composition:
109p.
</summary>
<dc:date>2024-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>ADOPTION OF CLIMATE SMART AGRICULTURAL TECHNOLOGIES AND THEIR IMPACTS ON VULNERABILITY AND RESILIENCE TO CLIMATE CHANGE, FOOD AND NUTRITION SECURITY OF WHEAT FARMERS IN ARSI ZONE, OROMIA REGION, ETHIOPIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/7868" rel="alternate"/>
<author>
<name>Mustefa Bati Geda</name>
</author>
<author>
<name>Profe Jema Haji</name>
</author>
<author>
<name>Dr. Kedir Jemal</name>
</author>
<author>
<name>Dr. Fresebet Zeleke</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/7868</id>
<updated>2024-06-21T06:37:50Z</updated>
<published>2024-05-01T00:00:00Z</published>
<summary type="text">ADOPTION OF CLIMATE SMART AGRICULTURAL TECHNOLOGIES AND THEIR IMPACTS ON VULNERABILITY AND RESILIENCE TO CLIMATE CHANGE, FOOD AND NUTRITION SECURITY OF WHEAT FARMERS IN ARSI ZONE, OROMIA REGION, ETHIOPIA
Mustefa Bati Geda; Profe Jema Haji; Dr. Kedir Jemal; Dr. Fresebet Zeleke
Climate-resilient crop production requires the use of crop technology that can sustainably&#13;
increase productivity, decrease vulnerability, and improve resilience. Despite countrywide&#13;
initiatives that promote climate smart agricultural technologies adoption, the rate of adoption&#13;
has been extremely low. Similarly, the level of vulnerability varies significantly across&#13;
households, nations, and regions. Moreover, although the 2030 agenda's aim of "zero hunger&#13;
and malnutrition" has achieved tremendous progress, the prevalence of food insecurity and&#13;
malnutrition is constantly rising worldwide. Thus, this study aims to analyze the climate smart&#13;
agricultural technologies adoptions and their impact on reducing vulnerability and building&#13;
resilience to climate change, improving food and nutrition security of smallholder wheat&#13;
farmers in Arsi zone. Towards this, plot-level primary data were gathered from 628 plots that&#13;
were managed by 422 randomly selected wheat-producing smallholder farmers in three selected&#13;
districts of the Zone. Descriptive statistics and econometric models including the multivariate&#13;
probit model, the binary logit model, the ordered logit model, and the multinomial endogenous&#13;
switching regression(MNESR) were used to analyze the data. Among the major climate smart&#13;
agricultural technologies adopted for wheat production in the study area, this study considered&#13;
improved wheat varieties, integrated soil fertility management, and irrigation technologies. The&#13;
result indicated that improved wheat varieties, integrated soil fertility management, and&#13;
irrigation technologies were adopted on 95%, 85%, and 19% of the wheat plots, respectively.&#13;
The result of the MVP revealed that farmers with higher levels of education, farming experience,&#13;
and contact with extension workers, have credit access, are members of social organizations,&#13;
have access to market information, have greater annual total income, and are closer to the&#13;
nearest market center and wheat farm are more likely to adopt climate smart agricultural&#13;
technologies in wheat production. The result of vulnerability as expected poverty (VEP) pointed&#13;
out that 60.66% of the sample households were vulnerable to climate change while the&#13;
remaining 39.34% were not. In addition, the sample household’s average resilience index was&#13;
found to be 0.976 as revealed by the result of the resilience index measurement&#13;
approach (RIMA). In a similar vein, the absorptive capacity (0.401) was the primary&#13;
contributor among the resilience components, followed by the adaptive (0.320) and&#13;
transformative (0.255) capacities. The result from the logit model pointed out that households&#13;
that participated in off-farm income-generating activities, had large areas of farmland and&#13;
owned large numbers of livestock, had frequent contact with extension workers, had access to&#13;
improved wheat varieties and irrigation, lived in highland agroecology and participated in&#13;
social organizations was probably less susceptible to climate change. The food and nutrition&#13;
security status were measured, respectively, using the household calorie acquisition score and&#13;
household dietary diversity score. Descriptive statistics showed that whereas 29.15% of the&#13;
sample households were food insecure, 70.85% of the households were secure in their food.&#13;
Similarly, low, medium, and high nutritional levels were discovered in 26.07%, 52.61%, and&#13;
xviii&#13;
21.33% of the sample families, respectively. The binary logit model's result showed that while&#13;
family size and distance from the market were negatively associated with the likelihood of food&#13;
security, livestock holding, frequency of extension contact, chemical fertilizer, irrigation, and&#13;
vegetation coverage were positively associated with it. The ordered logit results indicated that&#13;
while the distances to the market and health center were negatively associated with household&#13;
nutritional status, the level of education, participation in safety-net programs, total income,&#13;
farm size, market information, and soil fertility had positive and significant effects. The impact&#13;
of adopting climate smart agricultural technologies on the vulnerability and resilience to&#13;
climate change, and food and nutrition security of wheat farmers were analyzed using the&#13;
MNESR model. The result revealed that the adoption of climate-smart agricultural technologies&#13;
has a positive and significant impact on reducing vulnerability and improving wheat farmers’&#13;
resilience to climate change, improving food and nutrition security in the study area. Moreover,&#13;
the highest impact is attained when wheat farmers adopt a combination of climate-smart&#13;
agricultural technologies than in isolation. Hence, expanding the implementation of climate-&#13;
smart agricultural technologies can lower vulnerability to climate change, increase resilience&#13;
to it, and improve the food and nutrition security of smallholder wheat farmers.
210p.
</summary>
<dc:date>2024-05-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>MUNICIPAL SOLID WASTE GENERATION RATE, CHARACTERIZATION AND MANAGEMENT PRACTICES IN CHELENKO TOWN, META DISTRICT, EASTERN ETHIOPIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/7866" rel="alternate"/>
<author>
<name>Jibril Abrahim Yusuf</name>
</author>
<author>
<name>(PhD), Tassema Toru</name>
</author>
<author>
<name>(PhD) Mengistu Mengesha</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/7866</id>
<updated>2024-06-21T06:27:19Z</updated>
<published>2024-03-01T00:00:00Z</published>
<summary type="text">MUNICIPAL SOLID WASTE GENERATION RATE, CHARACTERIZATION AND MANAGEMENT PRACTICES IN CHELENKO TOWN, META DISTRICT, EASTERN ETHIOPIA
Jibril Abrahim Yusuf; (PhD), Tassema Toru; (PhD) Mengistu Mengesha
A Daily human activity generates solid waste, which became serious public health problem.&#13;
Population growth together with the rapid urban development and expansion created serious&#13;
human health and environmental degradation. The aim of this study was to assess municipal&#13;
solid waste generation rate, characterization of the physical and chemical properties and&#13;
management practices in Chelenko town of Meta District, Eastern Ethiopia. In this research,&#13;
descriptive research design with both qualitative and quantitative approaches was&#13;
implemented. The 134 households were chosen by systematic random sampling considering&#13;
low income, middle income and high-income levels. The daily waste generated by the three&#13;
sectors were collected and sorted into its component parts with the weight of each component&#13;
recorded. A household survey, questionnaire, interview and field observation, were employed&#13;
to gather data on the socioeconomic situation, solid waste generated and existing waste&#13;
management practices. For chemical analysis, a homogenized biodegradable waste was used&#13;
in the laboratory. The solid waste generated per capita was 0.31kg/cap/day, 1.9 kg/day, and&#13;
0.14 kg/day for households, commercial, and government offices respectively. Solid waste&#13;
generation shows positive correlation with family size, educational level and monthly income.&#13;
The households’ biodegradable waste was dominant 68.85% with portion of food waste 36%,&#13;
commercial center’s was dominant 64% with fraction of food waste 30% and government&#13;
Offices’ was dominant 57.5% with portion of cardboard and paper accounted for 34%. The&#13;
solid waste management practices were poor and need more attention. The municipality&#13;
should make due attention for participation, awareness, educational, strategic planning, and&#13;
institutional arrangement and efficient management practices on solid waste. Thus, strong&#13;
collaboration should be needed between the municipality, health office and other stakeholders&#13;
to solve problems concerning solid wastes in Chelenko Town. The results of this study are&#13;
important to the town administration to know the solid waste generation in the town and make&#13;
the necessary decision on its management. Hence, the study might bring functional solutions&#13;
for addressing solid waste management problem in the study area.
88p.
</summary>
<dc:date>2024-03-01T00:00:00Z</dc:date>
</entry>
</feed>
