Professional Summary
Ethiopian water resources management researcher and engineer specializing in hydrology, irrigation engineering, agricultural water management, remote sensing, GIS, climate change, and machine learning applications for water resources management. He holds a PhD in Engineering from Walailak University, Thailand, where his doctoral research focused on satellite databases and machine learning algorithms for supporting water resources management in ground-data-scarce regions. His academic background also includes an MSc in Hydraulics and Water Resource Engineering, with specialization in irrigation engineering, from Bahir Dar University, and a BSc in Water Resource and Irrigation Management from Aksum University. Dr. Alebachew has built a distinguished professional profile at the intersection of practical irrigation research, hydrological modelling, agricultural water productivity, climate-resilient water management, and advanced digital water technologies. His work is particularly important for African regions where reliable ground data are limited, because he applies satellite datasets, open-source data, remote sensing products, machine learning algorithms, Python, Google Earth Engine, GIS, CropWat, AquaCrop, and hydrological models to improve decision-making in water resources and agriculture. He currently serves as a Researcher in Water Resource Management at the Amhara Agricultural Research Institute (ARARI), Bahir Dar, Ethiopia, following several years of service as Assistant Researcher, Associate Researcher, and Researcher in soil and water resources management. His experience includes irrigation scheduling, crop water requirement estimation, water productivity assessment, soil-water-plant interaction studies, hydrology and water balance modelling, rainfall and evapotranspiration estimation, flood and drought analysis, climate-change impact assessment, and field-based agricultural water research. Dr. Alebachew has a strong publication record in international journals, including research on reference evapotranspiration estimation using ensemble learning, satellite and model-based estimation of crop water requirements, WaPOR and ERA5-Land comparison, irrigation performance indicators under data-limited conditions, irrigation regimes for watermelon, water productivity and nutrient balance in irrigated wheat, raised-bed irrigation techniques, and irrigation frequency optimization for snap bean. He has also contributed to published proceedings on irrigation scheduling, water productivity, deficit irrigation, rainwater harvesting, crop water requirements, and optimal irrigation practices in the Koga and Rib irrigation schemes. Beyond his own research, he contributes to the scientific community as a reviewer for several journals in water, irrigation, and agricultural water management. His profile represents a modern African water expert capable of connecting field irrigation science, satellite data, artificial intelligence, climate adaptation, and evidence-based water policy for sustainable agriculture and water security.
Key Expertise
Major Projects and Contributions
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Researcher in Water Resource Management – Amhara Agricultural Research Institute
Serves as Researcher in Water Resource Management at the Amhara Agricultural Research Institute (ARARI), Bahir Dar, contributing to sustainable water resources management, irrigation research, agricultural water productivity, hydrology, and climate-resilient agriculture in Ethiopia. -
PhD Research on Satellite Databases and Machine Learning for Water Management
Completed PhD research at Walailak University, Thailand, on satellite databases and machine learning algorithms for supporting water resources management in ground-data-scarce regions. The work strengthens modern digital water management, hydrological modelling, data compilation, geospatial analysis, and big-data visualization for water-scarce environments. -
Machine Learning-Based Reference Evapotranspiration Estimation
Published research on ensemble learning-based reference evapotranspiration estimation for climate-resilient irrigation in data-scarce highlands of Ethiopia, supporting improved irrigation planning and agricultural water management where conventional ground data are limited. -
Satellite and Model-Based Crop Water Requirement Estimation
Conducted satellite and model-based estimation of crop water requirements for major irrigated crops in the Koga Irrigation Scheme, Ethiopia, contributing to better irrigation scheduling, water allocation, and agricultural water productivity. -
WaPOR and ERA5-Land Analysis for the Tana Basin
Compared WaPOR and ERA5-Land datasets for innovative estimation of precipitation and evapotranspiration in the Tana Basin, Ethiopia, strengthening the use of remote sensing and open-source climate datasets for water resources assessment. -
Irrigation Performance Assessment under Data-Limited Conditions
Assessed water consumption patterns and irrigation delivery performance indicators using the WaPOR portal under data-limited conditions in Ethiopia, providing practical tools for evaluating irrigation systems where field measurements are scarce. -
Irrigation Regime and Water Productivity Studies in Koga and Rib Schemes
Conducted and published irrigation research on watermelon, wheat, snap bean, field pea, maize, raised-bed irrigation, deficit irrigation, crop water requirements, and water productivity in the Koga and Rib irrigation schemes of northwest Ethiopia. -
Rainwater Harvesting and Upper Blue Nile Basin Water Shortage Studies
Contributed to research on rainwater harvesting systems for coping with water shortage in the Upper Blue Nile Basin, supporting climate adaptation, local water security, and agricultural resilience in northwest Ethiopia. -
Scientific Reviewer for Water and Irrigation Journals
Serves as a reviewer for international journals including Applied Water Science, Water Resources Management, Irrigation and Drainage, World Water Policy, and Agricultural Water Management, contributing to scientific quality control and global water research exchange. -
Capacity Building in Python, Google Earth Engine and Remote Sensing
Designs training modules, schematic diagrams, workflows, and teaching visuals in Python, Google Earth Engine, Google Colab, remote sensing, hydrology, irrigation agronomy, soil-water processes, and water management for students, junior researchers, and professional capacity building.