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<title>Geo-Information</title>
<link>http://ir.bdu.edu.et/handle/123456789/2010</link>
<description/>
<pubDate>Sat, 13 Jan 2001 06:30:49 GMT</pubDate>
<dc:date>2001-01-13T06:30:49Z</dc:date>
<item>
<title>Assessing Land Use/Cover Dynamics on Soil Erosion and Sediment Yield in  Barkana Watershed, Northeast Ethiopia</title>
<link>http://ir.bdu.edu.et/handle/123456789/16430</link>
<description>Assessing Land Use/Cover Dynamics on Soil Erosion and Sediment Yield in  Barkana Watershed, Northeast Ethiopia
Seid, Yimer
Land use land cover (LULC) dynamics is the main environmental challenge that mainly affect &#13;
soil erosion and sediment yield in Ethiopia. Thus, this study aimed to evaluate LULC dynamics &#13;
on sediment yield and soil erosion in Barkana watershed. The main data sources for image &#13;
analysis were Landsat TM (1993), ETM+(2008), and OLI (2023). While rainfall data, soil type &#13;
and texture, Digital Elevation Model (DEM), and LULC data were used to generate the &#13;
erodibility (R), erosivity (K), slope-length (LS), land cover (C), and management (P) factors for &#13;
RUSLE Model. Soil erosion and sediment yield were estimated using the RUSLE, Sediment &#13;
Delivery Ratio, and Sediment Yield (SD) algorithms. These data sets were analyzed using &#13;
ERDAS Imagine and Arc GIS software accordingly. Moreover, a total of twelve key informant &#13;
interviews (KII) were selected, three from the upper, four from the middle and five from the lower &#13;
part of the watershed purposively depending on the spatial extent of these parts.  The KII have &#13;
been used to triangulate the secondary data analysis. The Maximum Likelihood Algorithm &#13;
(MLA) of supervised classification was used to classify Landsat images from three separate time &#13;
periods (1993, 2008, and 2023) into six key land use/cover classifications (agricultural, bare &#13;
land, built-up, forest, grazing land, and shrubs). Consequently, throughout these years (1993&#13;
2023), forest, grazing land, and shrub declined by 3156.8ha (12%), 1584ha (6%), and 868ha &#13;
(4%), respectively, while agricultural, bare land, and built up rose by 3742.5ha (14.3%), 488.2ha &#13;
(2%), and 1378.5ha (5.3%). Throughout the study periods, the annual rate of change for &#13;
different land uses and land covers varies. For instance, the yearly increases in built-up, bare &#13;
land, and agricultural land were 0.48%, 0.06%, and 0.18%, respectively. In 1993, 2008, and &#13;
2023, the mean annual soil loss increased by 27.95, 41.98, and 59.34 t/ha/yr, respectively. The &#13;
sediment yield increased by 8.6, 12, and 15.7 t/ha/yr during these times on the same trend. The &#13;
average amount of soil erosion in 1993, 2008 and 2023 was employed to identify hotspot regions &#13;
for watershed planning and management strategies. As a result, five priority classes (very high, &#13;
high, moderate, low, and very low) are applied to the entire watershed. The first and second &#13;
priority classes that needs attention together covered about 4,035ha (15.4%) of land. Moreover, &#13;
the highest rates of soil erosion (more than 50 t/ha/yr.) were observed in very high, high, and &#13;
moderate priority levels. As a result, these areas require quick attention.
</description>
<pubDate>Sun, 01 Dec 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.bdu.edu.et/handle/123456789/16430</guid>
<dc:date>2024-12-01T00:00:00Z</dc:date>
</item>
<item>
<title>GIS-Based Assessment of Water Supply and Loss in Water Distribution Networks • 006 The Case of Bahir Dar</title>
<link>http://ir.bdu.edu.et/handle/123456789/7544</link>
<description>GIS-Based Assessment of Water Supply and Loss in Water Distribution Networks • 006 The Case of Bahir Dar
MELESE, MESHESHA
Developing sustainable water supply systems appropriate to the needs ofthe customer&#13;
and the water supplier capacity incofporated with the rapidly growing urban&#13;
population&#13;
is a challenge faced in developing municipalities. With limited financial&#13;
resources to develop water utilities. demands&#13;
for water supply and delivery services are&#13;
growing rapidly. The current water supply system&#13;
of Bahir Dar is yet to be fully&#13;
developed, has inadequate distribution&#13;
ofwater supply. as well as high water losses.&#13;
"Although&#13;
it is not po.ssible to have a leak~f;'ec network, it is possible to reduce the&#13;
percentage&#13;
ofwater losses and increase the supply wverage. Geographical Information&#13;
Systems (GIS)&#13;
h~e been integrated into the development of utilities greatly improving&#13;
the operation&#13;
an~ maintenance of the systems and the decision-making abilities of"&#13;
utility developers. Therefore. we develop a GIS database jor the vvater distribution&#13;
network components&#13;
of" Bahr Dar town and evaluated both the supply coverage and&#13;
water loss with primary&#13;
and available secondary data in addition to spatial data. such&#13;
as&#13;
wflter supply layout. QuickBird satellite image. master plan of the town and GPS&#13;
;neasurements. Water production and water consumption aggregated Fom customers&#13;
meter readings were used to evaluate the total water loss&#13;
in the town. We jound that the&#13;
average domestic&#13;
per capita consumption of Bahir Dar town is j 8.98 llcld, which is&#13;
lower than that ofthe minimum standards set as a basic need. The level ofconnection&#13;
p~ family is 35% which implies that on averaf,e three families or 13 persons are&#13;
sharing one connection or water tap. In spite oflow coverage. there is a high water loss&#13;
.. -in the town. a mean total loss o/ahout -/3% This studv also analyzes the accessihility of"&#13;
the distribution pipeline network to the center of" the residential huildings using u&#13;
proximity spatial analysis tool. and the mean near distance is 274 meters long&#13;
This study suggests that jor optimal water loss reduction and spatial comparison of/oss&#13;
within the syste~1, it would be necessary to update the existing network data into a&#13;
digital database, improve the billing system, establish water pressure managemi:'nt.&#13;
implement proper maintenance and replacement of netvvorks, and diVide the existing&#13;
system into subsystems&#13;
and district meter areas.
A thesis submitted to the school of graduate studies in partial fulfillment of the&#13;
requirel~1ents for the degree of Master of Science in GIS and Remote Sensing:
</description>
<pubDate>Wed, 02 Aug 2017 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.bdu.edu.et/handle/123456789/7544</guid>
<dc:date>2017-08-02T00:00:00Z</dc:date>
</item>
<item>
<title>Assesslllent of Forest Cover Dynanlics Using GIS and Remote Sensing in AdabaDodola, Bale Mountains</title>
<link>http://ir.bdu.edu.et/handle/123456789/7543</link>
<description>Assesslllent of Forest Cover Dynanlics Using GIS and Remote Sensing in AdabaDodola, Bale Mountains
Tsegaye, Sewinet   Belay
The dynamics of the forest cover in Bale Mountains was still poorly understood.&#13;
The thesis use GIS and Remote sensing techn.ology to examine the forest cover in the&#13;
. "-&#13;
study area.. This study examined land cover dynamics of the Adaba Dodola in three sub&#13;
periods; 1973 J986,&#13;
19'86 - 2000, and 2000 - 2006 and finally the period between 1973&#13;
and 2006.&#13;
Super~ed classification of satellite imagery through maximum likelihood&#13;
classifier was used&#13;
~o discriminate the four dominate land cover classes in the study area.&#13;
Land cover change was varying during these sub-periods.&#13;
In the past thirty three years&#13;
..&#13;
there was a general decline of forest cover. The study also shows an increase in the area&#13;
I&#13;
ooverage of agricultural field.&#13;
In the study area deforestation was severe along river valleys, near to settlement&#13;
and roads. In this areas, agricultural field increases at the expense&#13;
of forest cover. In&#13;
•&#13;
addition rate of forest cover change varies among sub-regions, which is the highest&#13;
..&#13;
during 2000 - 2006 and the lowest in the period 1986 - 2000.&#13;
As examined from images deforestation was severe in lower slopes. In slopes&#13;
lower than&#13;
t 5 degree agricultural field increases at the expense of grass and forest land&#13;
cover.&#13;
At the end recommendations are made. These recommendations are the&#13;
implementation&#13;
of ecologically and econorri1cally valuable land uses such as agro&#13;
ecology and ecotourism.
A Paper Presented In Partial&#13;
Fulfillment of the Requirement for the&#13;
Degree of Master of Science in Geoinformation (GIS)
</description>
<pubDate>Wed, 02 Aug 2017 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.bdu.edu.et/handle/123456789/7543</guid>
<dc:date>2017-08-02T00:00:00Z</dc:date>
</item>
<item>
<title>GRICULTURAL LAND SUITABILITY EVALUATION FOR RAINFED CROPS USING GIS: ACASE STUDY OF DEBRE MEWI WATERSHED</title>
<link>http://ir.bdu.edu.et/handle/123456789/7510</link>
<description>GRICULTURAL LAND SUITABILITY EVALUATION FOR RAINFED CROPS USING GIS: ACASE STUDY OF DEBRE MEWI WATERSHED
ADISALEM, ASEFA ASEFAW
Land suitability evaluation is the base for land use planning and land management to&#13;
enhance the sustainable use&#13;
of land resources. Suitability evaluation for tef, maize and grass&#13;
pea cultivation&#13;
in r~fed agriculture was studied through a qualitative process of matching&#13;
land&#13;
charaC(teristics with crops requirements based on maximum limitation system. The&#13;
present study&#13;
~ initiated with the main objectives of creating the digital elevation model,&#13;
I&#13;
identifying and mapping the major soils and LULC, classifying the watershed into land&#13;
mapping units and finally producing suitability maps&#13;
of the selected crops, which are&#13;
c6ltivated in the Oebre Mewi watershed in the Amhara Region. The major variables used in&#13;
this study include topography, climate, soil and LULC. Data of spatial vector and raster as&#13;
well as the attribute&#13;
of the major variables were collected from QuickBird2 satellite imagery,&#13;
topographic&#13;
sh~et, field observation and laboratory results. ArcInfo GIS 9.2 version was&#13;
intensively used through the study.&#13;
Most&#13;
of the land units of the study area were found to be moderately suital?le for tef,&#13;
the low lying land units highly suitable for grass pea and the well drained land units were&#13;
moderately to marginally suitable for maize cultivation at a low level input use. While doing&#13;
all these, the GIS-database was established and set&#13;
in with a variety of datasets that can be&#13;
easily update and enables to produce various types&#13;
of maps and information about the Debre&#13;
Mewi watershed. Thus, the study has showed GIS and RS techniques are powerful tools to&#13;
integrate various data layers and to assess the potentials&#13;
of land resources for scientific land&#13;
use planning, decision making and resource management.
Presented to the faculty&#13;
ofSchool ofGraduate Studies ofBahir Dar University&#13;
In&#13;
partial ~fiI1ment ofthe requirements for the degree ofMasters of Science in&#13;
Geo-Information (GIS)
</description>
<pubDate>Tue, 01 Aug 2017 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://ir.bdu.edu.et/handle/123456789/7510</guid>
<dc:date>2017-08-01T00:00:00Z</dc:date>
</item>
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