<?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>Engineering Hydrology</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/246" rel="alternate"/>
<subtitle/>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/246</id>
<updated>2026-04-20T11:01:47Z</updated>
<dc:date>2026-04-20T11:01:47Z</dc:date>
<entry>
<title>IMPACT OF CLIMATE CHANGE ON AGRICULTURAL AND HYDROLOGICAL DROUGHT IN SOMALI REGION, ETHIOPIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/8104" rel="alternate"/>
<author>
<name>Shuayb Mohamed Osman</name>
</author>
<author>
<name>(Dr) Asfaw Kebede</name>
</author>
<author>
<name>(Dr)  Meseret Dawit</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/8104</id>
<updated>2024-12-31T07:05:50Z</updated>
<published>2024-11-01T00:00:00Z</published>
<summary type="text">IMPACT OF CLIMATE CHANGE ON AGRICULTURAL AND HYDROLOGICAL DROUGHT IN SOMALI REGION, ETHIOPIA
Shuayb Mohamed Osman; (Dr) Asfaw Kebede; (Dr)  Meseret Dawit
Drought is recognized as a major climatic hazard and a critical development and&#13;
environmental challenge in Ethiopia’s Somali Region. This study investigates the impact of&#13;
climate change on agricultural and hydrological droughts in the region, employing three&#13;
drought indices: the Reconnaissance Drought Index (RDI), the Streamflow Drought Index&#13;
(SDI), and the Standardized Precipitation Index (SPI). Data from seven meteorological&#13;
stations, spanning from 1993 to 2022, were analyzed to assess historical drought patterns.&#13;
For future projections (2026-2100), climate data was downscaled using Representative&#13;
Concentration Pathways (RCP) 4.5 and 8.5.&#13;
Additionally, artificial neural networks (ANN), implemented using Python, were used to&#13;
predict future streamflow and hydrological drought. The results indicated that the SPI&#13;
showed 62.07% in near-normal conditions, with 20.69% in moderate wet, and 7.15% in&#13;
severe drought conditions. For the RDI under both RCP scenarios, near- and mid-century&#13;
projections show moderate wetness and varying levels of drought, with a notable increase in&#13;
extreme drought under RCP 8.5. This study highlights the region’s vulnerability to climate&#13;
change and provides crucial insights for future drought management strategies.
99p.
</summary>
<dc:date>2024-11-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>IMPACT OF LAND USE/LAND COVER CHANGE ON SOIL EROSION  AND SEDIMENT YIELD IN BORKENA SUB-BASIN, AWASH RIVER  BASIN, ETHIOPIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/8059" rel="alternate"/>
<author>
<name>Eden Tadele</name>
</author>
<author>
<name>Asfaw Kebede (Ph.D)</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/8059</id>
<updated>2024-12-23T07:19:10Z</updated>
<published>2023-08-01T00:00:00Z</published>
<summary type="text">IMPACT OF LAND USE/LAND COVER CHANGE ON SOIL EROSION  AND SEDIMENT YIELD IN BORKENA SUB-BASIN, AWASH RIVER  BASIN, ETHIOPIA
Eden Tadele; Asfaw Kebede (Ph.D)
There is a growing global focus on the impacts of land-use land-cover (LULC) change on soil &#13;
resources, particularly due to its significant impact. Soil erosion, a crucial environmental issue &#13;
of great magnitude, is particularly severe in developing nations. This study aimed to assess the&#13;
impact of land use/land cover change on soil loss and sediment yield using the Revised &#13;
Universal Soil Loss Equation (RUSLE) within a Geographic Information System (GIS) &#13;
environment in Borkena watershed, Awash river basin, Ethiopia. The study used Land Use Land &#13;
Cover (LULC) maps of 2010 and 2020 to evaluat the impact of land use land cover change on &#13;
soil loss and sediment yield. Various factors, such as rainfall erosivity, soil erodibility, slope &#13;
length and steepness, cover management, and conservation practices were considered to &#13;
calculate soil erosion potential between 2010 and 2020. The integration of the RUSLE and GIS &#13;
was used to analyze the impact of LULC change on soil erosion and sedimentation. The mean &#13;
annual soil loss from the watershed was estimated to be 8.13 t/ha/yr in 2010 and 10.34 t/ha/yr &#13;
in 2020 . Cultivated lands produced the highest rates of soil loss and sediment yield, followed &#13;
by bare land and grass land areas, when compared to other land uses/covers. The mean annual &#13;
sediment yield was estimated to be 2.61 t/ha/yr in 2010 and 2.87 t/ha/yr in 2020. The sediment &#13;
delivery ratio (SDR) of the watershed ranged between 0 and 0.549. The implications of this &#13;
study's findings emphasize the need for immediate action to address soil erosion and &#13;
sedimentation issues in the Borkena watershed. By implementing targeted soil and water &#13;
conservation measures, integrating land use planning with conservation efforts, rehabilitating &#13;
degraded lands, and formulating supportive policies, it is possible to mitigate the adverse &#13;
impacts of land use/land cover change and promote sustainable land and water resource &#13;
management in the watershed.
76
</summary>
<dc:date>2023-08-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>ASSESSMENT OF CIMATE CHANGE IMPACT ON SURFACE WATER AVAILABILITY AND ALLOCATION IN SHABELLE RVER ASIN, SOMALIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/7929" rel="alternate"/>
<author>
<name>Mahad Mohammed</name>
</author>
<author>
<name>Dr. Asfaw Kebede</name>
</author>
<author>
<name>Dr. Meseret Dawit</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/7929</id>
<updated>2024-11-25T06:46:34Z</updated>
<published>2024-04-01T00:00:00Z</published>
<summary type="text">ASSESSMENT OF CIMATE CHANGE IMPACT ON SURFACE WATER AVAILABILITY AND ALLOCATION IN SHABELLE RVER ASIN, SOMALIA
Mahad Mohammed; Dr. Asfaw Kebede; Dr. Meseret Dawit
On a global scale, climate change is projected to have detrimental impacts on harm water avail-&#13;
ability. This situation will become more severe due to climate change's accumulated impacts&#13;
and anthropogenic activities. This study aims to investigate climate change impact on water&#13;
availability and allocation in the Shabelle River Basin, Somalia using the Soil and Water As-&#13;
sessment Tool (SWAT) and Water Evaluation and Planning (WEAP) models. Bias corrected&#13;
Regional Climate Model (RCM) from CORXDEX Africa derived by the ICHEC-EC-EARTH&#13;
global climate model under two scenarios RCP 4.5 and 8.5 was used in this study. The future&#13;
periods are divided into three-time horizons with equal length of time as the base line period&#13;
2025–2048, 2049–2072 and 2073–2096. The projected annual average precipitation increase&#13;
reached 8.6% under RCP4.5 and 32% under RCP8.5. Under the RCP4.5 emissions scenario&#13;
the average monthly maximum temperature increased up to 2.56°C and 1.68°C for minimum&#13;
temperature, similarly under RCP8.5, temperature increased up to 4°C and 3.7°C respective&#13;
for maximum and Minimum temperature. The calibration and validation of SWAT were per-&#13;
formed using monthly discharge, and the result showed agreement between the observed and&#13;
simulated data sets. The model assessment statistics, Nash Sutcliffe Efficiency (NSE) and coef-&#13;
ficient of determination (&#55349;&#56389;2) values were 0.68 and 0.69, for the calibration period and 0.68 and&#13;
0.71, for the validation period. The average annual discharge volume will increase to 12% un-&#13;
der RCP4.5 and 17% under RCP8.5, excluding the 9.3% that will be decreased in the near term&#13;
(2025-2048). On the other hand, climate change has resulted in a reduction in future water&#13;
shortages. The unmet demand is anticipated to decline by 48% underRCP4.5 and also 49%&#13;
under RCP8.5 in all scenarios. Based on a single GCM output may not give a clear represen-&#13;
tation of future changes, A comprehensive study is highly needed, and the issue has to be ad-&#13;
dressed at a scale relevant to decision-making based on multiple GCMs under new climate&#13;
change emission scenarios for better understanding of the potential impacts
98p.
</summary>
<dc:date>2024-04-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>ASSESSMENT OF CLIMATE CHANGE IMPACT ON SURFACE WATER AVAILABILITY AND ALLOCATION IN SHABELLE RIVER BASIN, SOMALIA</title>
<link href="http://ir.haramaya.edu.et//hru/handle/123456789/7871" rel="alternate"/>
<author>
<name>Mahad Mohammed</name>
</author>
<author>
<name>Dr. Asfaw Kebede</name>
</author>
<author>
<name>Dr. Meseret Dawit</name>
</author>
<id>http://ir.haramaya.edu.et//hru/handle/123456789/7871</id>
<updated>2024-06-25T08:30:41Z</updated>
<published>2024-04-01T00:00:00Z</published>
<summary type="text">ASSESSMENT OF CLIMATE CHANGE IMPACT ON SURFACE WATER AVAILABILITY AND ALLOCATION IN SHABELLE RIVER BASIN, SOMALIA
Mahad Mohammed; Dr. Asfaw Kebede; Dr. Meseret Dawit
On a global scale, climate change is projected to have detrimental impacts on harm water avail-&#13;
ability. This situation will become more severe due to climate change's accumulated impacts&#13;
and anthropogenic activities. This study aims to investigate climate change impact on water&#13;
availability and allocation in the Shabelle River Basin, Somalia using the Soil and Water As-&#13;
sessment Tool (SWAT) and Water Evaluation and Planning (WEAP) models. Bias corrected&#13;
Regional Climate Model (RCM) from CORXDEX Africa derived by the ICHEC-EC-EARTH&#13;
global climate model under two scenarios RCP 4.5 and 8.5 was used in this study. The future&#13;
periods are divided into three-time horizons with equal length of time as the base line period&#13;
2025–2048, 2049–2072 and 2073–2096. The projected annual average precipitation increase&#13;
reached 8.6% under RCP4.5 and 32% under RCP8.5. Under the RCP4.5 emissions scenario&#13;
the average monthly maximum temperature increased up to 2.56°C and 1.68°C for minimum&#13;
temperature, similarly under RCP8.5, temperature increased up to 4°C and 3.7°C respective&#13;
for maximum and Minimum temperature. The calibration and validation of SWAT were per-&#13;
formed using monthly discharge, and the result showed agreement between the observed and&#13;
simulated data sets. The model assessment statistics, Nash Sutcliffe Efficiency (NSE) and coef-&#13;
ficient of determination (&#55349;&#56389;2) values were 0.68 and 0.69, for the calibration period and 0.68 and&#13;
0.71, for the validation period. The average annual discharge volume will increase to 12% un-&#13;
der RCP4.5 and 17% under RCP8.5, excluding the 9.3% that will be decreased in the near term&#13;
(2025-2048). On the other hand, climate change has resulted in a reduction in future water&#13;
shortages. The unmet demand is anticipated to decline by 48% underRCP4.5 and also 49%&#13;
under RCP8.5 in all scenarios. Based on a single GCM output may not give a clear represen-&#13;
tation of future changes, A comprehensive study is highly needed, and the issue has to be ad-&#13;
dressed at a scale relevant to decision-making based on multiple GCMs under new climate&#13;
change emission scenarios for better understanding of the potential impacts
98p.
</summary>
<dc:date>2024-04-01T00:00:00Z</dc:date>
</entry>
</feed>
