Professional Summary
Eng. Dawit Midagsa Abdi is a hydrology and water resources engineering professional, lecturer, and researcher with 10 years of experience in academic teaching, hydrological research, flood modeling, climate-change water resources assessment, and data-driven water studies. He holds an MSc in Hydrology from Arba Minch University and a BSc in Hydraulic and Water Resources Engineering from Jimma University. His work covers hydrological and hydrogeological modeling, low-flow analysis, baseflow separation, flood susceptibility mapping, water availability under climate scenarios, drought monitoring, GIS, remote sensing, Python, R, and statistical analysis. He has taught Engineering Hydrology, Groundwater Hydrology, Hydraulic Structures, Open Channel Hydraulics, and Hydraulics, and has published peer-reviewed research on low-flow regionalization, baseflow separation, climate-change water availability, and flood risk assessment. His profile is valuable for African hydrology, flood modeling, climate resilience, water resources planning, and data-driven decision-support projects.
Key Expertise
Major Projects and Contributions
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Regionalization of Low Flow Analysis in Data-Scarce Regions
Research on regional low-flow analysis in the Lake Abaya-Chamo Sub-Basin, Rift Valley Lakes Basin, Ethiopia. -
Performance Analysis of Baseflow Separation Methods
Study of baseflow separation methods in the Rift Valley Lakes Basin, Ethiopia. -
Water Availability under Changing Climate Scenarios
Research contribution evaluating water availability under changing climate scenarios in the Woybo Catchment, Ethiopia. -
Flood Susceptibility Mapping and Socio-Economic Flood Risk Assessment
Comparative assessment of multi-criteria decision-making analysis and machine learning methods for flood susceptibility mapping and socio-economic flood risk impacts in the Abela-Abaya floodplain of Ethiopia. -
Hydrological and Hydrogeological Modeling Applications
Application of MODFLOW, HEC-HMS, SWMM, SWAT, HEC-RAS, WEAP, HBV, GMS, WMS and related tools for hydrological and hydrogeological modeling. -
Google Earth Engine Applications for Water Resources
Use of Google Earth Engine for climate change studies, land-cover classification, remote sensing analysis, and water resources management. -
Python, R and SPSS for Water Resources Data Analysis
Application of Python, R and SPSS for data analysis, visualization, statistical analysis, and water resources research workflows.