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Assefa Melesse   Dr.  University Educator/Researcher 
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Assefa Melesse published an article in March 2019.
Top co-authors See all
Leonhard Reindl

262 shared publications

Department of Microsystems Engineering - IMTEK, Laboratory for Electrical Instrumentation, Freiburg, 79110, Germany

Peter C Hauser

174 shared publications

Department of Chemistry; University of Basel; Basel Switzerland

Michael J. Schöning

172 shared publications

Institut für Nano- und Biotechnologien (INB), FH Aachen – Jülich, Jülich, Deutschland

Alexander Star

121 shared publications

Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States

Hamid Reza Pourghasemi

121 shared publications

College of Geology & Environment, Xi’an University of Science and Technology, Xi’an, Shaanxi, 710054, China

156
Publications
73
Reads
3
Downloads
322
Citations
Publication Record
Distribution of Articles published per year 
(2002 - 2016)
Total number of journals
published in
 
21
 
Publications See all
Article 0 Reads 0 Citations Development and application of a priority rated optimization model (PROM) for multi-sector water resource management sys... Shimelis Behailu Dessu, Assefa M. Melesse, Mahadev G. Bhat, ... Published: 01 March 2019
Environmental Modelling & Software, doi: 10.1016/j.envsoft.2018.11.014
DOI See at publisher website
Article 3 Reads 0 Citations Land use and land cover dynamics in the Keleta watershed, Awash River basin, Ethiopia Daniel Bekele, Tena Alamirew, Asfaw Kebede, Gete Zeleke, Ass... Published: 27 December 2018
Environmental Hazards, doi: 10.1080/17477891.2018.1561407
DOI See at publisher website
Article 0 Reads 0 Citations Estimating the Sediment Flux and Budget for a Data Limited Rift Valley Lake in Ethiopia Alemu O. Aga, Assefa M. Melesse, Bayou Chane Published: 23 December 2018
Hydrology, doi: 10.3390/hydrology6010001
DOI See at publisher website ABS Show/hide abstract
Information on sediment concentration in rivers is important for the design and management of reservoirs. In this paper, river sediment flux and siltation rate of a rift valley lake basin (Lake Ziway, Ethiopia) was modeled using suspended sediment concentration (SSC) samples from four rivers and lake outlet stations. Both linear and non-linear least squares log–log regression methods were used to develop the model. The best-fit model was tested and evaluated qualitatively by time-series plots, quantitatively by using watershed model evaluation statistics, and validated by calculating the prediction error. Sediment yield (SY) of ungauged rivers were assessed by developing and using a model that includes catchment area, slope, and rainfall, whereas bedload was estimated. As a result, the gross annual SY transported into the lake was 2.081 Mton/year. Annually, 0.178 Mton/year of sediment is deposited in floodplains with a sediment trapping rate of 20.6%, and 41,340 ton/year of sediment leaves the lake through the Bulbula River. The annual sediment deposition in the lake is 2.039 Mton/year with a mean sediment trapping efficiency of 98%. Based on the established sediment budget with average rainfall, the lake will lose its volume by 0.106% annually and the lifetime of Lake Ziway will be 947 years. The results show that the approach used can be replicated at other similar ungauged watersheds. As one of the most important sources of water for irrigation in the country, the results can be used for planning and implementing a lake basin management program targeting upstream soil erosion control.
Article 0 Reads 1 Citation Soil Erosion Modelling and Risk Assessment in Data Scarce Rift Valley Lake Regions, Ethiopia Alemu O. Aga, Bayou Chane, Assefa M. Melesse Published: 19 November 2018
Water, doi: 10.3390/w10111684
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To prolong the useful life of lakes and reservoirs, prioritizing watersheds by severity and risk of soil erosion is an essential index to develop sound sediment management plans. This study aims to predict soil erosion risk and sediment yield using Soil and Water Assessment Tool (SWAT) model in Lake Ziway basin, Ethiopia, and the model result is validated with lake bathymetric changes. The SUFI-2 program was applied for a model calibration and the performance of the model was assessed. The catchment prioritization study indicated that some sub-basins having the same soil type and land use but a higher slope gives higher sediment yield. This confirms that, in the basin, the upland is the main source of sediment for the lake, hence the variation of sediment yield is more sensitive to terrain slope. Furthermore, the soil conservation scenarios demonstrated in SWAT that reduce the slope length of the watershed by 50% for a slope greater than 5% are decreasing the sediment yield of the basin by 55%. The bathymetric differencing of the lake indicates that the sediment was accumulating at a rate of 3.13 t/ha/year while a calibrated SWAT model resulted in 5.85 t/ha/year. The identified reasons for these variations are the existence of outlet for the lake, floodplain depositions and abstraction of sediment (sand mining) from the tributary rivers before flowing to the lake.
Article 0 Reads 1 Citation A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment Khabat Khosravi, Majid Sartaj, Frank T.-C. Tsai, Vijay P. Si... Published: 01 November 2018
Science of The Total Environment, doi: 10.1016/j.scitotenv.2018.06.130
DOI See at publisher website
Article 0 Reads 6 Citations Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches Omid Rahmati, Seyed Amir Naghibi, Himan Shahabi, Dieu Tien B... Published: 01 October 2018
Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.08.027
DOI See at publisher website
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