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Groundwater Modeling and Assessment
- Kayhomayoon et al. (2022): “How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels?” Computers and Electronics in Agriculture 203:107482.
- Chebud & Melesse (2012): “Spatiotemporal surface-groundwater interaction simulation in South Florida.” Water Resources Management 26(15):4449-4466.
- Chebud & Melesse (2009): “Numerical Modeling of the Groundwater Flow System of the Gumera Sub-Basin in Lake Tana Basin, Ethiopia.” Hydrological Processes 23(26):3694-3704.
- Biswas & Melesse (2016): “Regional Scale Groundwater Flow Modeling for Wakel River Basin: A Case Study of Southern Rajasthan.” In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
Groundwater Quality and Vulnerability
- Tefera et al. (2021): “Groundwater quality evaluation of the alluvial aquifers using GIS and water quality indices in the Upper Blue Nile Basin, Ethiopia.” Groundwater for Sustainable Development 14:100636.
- Khosravi et al. (2018): “A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.” Science of The Total Environment 642:1032-1049.
- Rahmati et al. (2016): “Assessment of groundwater potentiality and quality with a new methodological framework: application of Dempster–Shafer theory and GIS/RS.” Science of the Total Environment 568:1110-1123.
- Abiy et al. (2016): “Groundwater Vulnerability Analysis of the Tana Sub-basin: An Application of DRASTIC Index Method.” In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
Groundwater and Surface Water Interactions
- Peña et al. (2022): “Compound flood modeling framework for surface–subsurface water interactions.” Natural Hazards and Earth System Sciences 22(3):775-793.
- Enku et al. (2016): “Surface-groundwater interactions in sub-humid monsoon climate: The Lake Tana floodplain, Ethiopia.” Land Degradation and Development.
- Assegid et al. (2014): “Spatial relationship of groundwater–phosphorus interaction in the Kissimmee River basin, South Florida.” Hydrological Processes.
Groundwater Recharge
- Panahi et al. (2021): “Cumulative Infiltration and Infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran.” Journal of Hydrology: Regional Studies.
- Rahmati et al. (2018): “Groundwater spring potential modelling: comprising the capability and robustness of three different modeling approaches.” Journal of Hydrology 565:248-261.
- Rahmati et al. (2015): “Application of GIS based data driven random forest and maximum entropy models for groundwater potential mapping.” CATENA 137:360-372.
- Stiefel et al. (2009): “Effects of rainwater harvesting induced artificial recharge on the groundwater of wells in Rajasthan, India.” Hydrogeology Journal 17(8):2061-2073.
- Gebere et al. (2016): “Land Use and Land Cover Change Impact on Groundwater Recharge: The Case of Lake Haramaya Watershed, Ethiopia.” In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
- Diamond & Melesse (2016): “Water Resources Assessment and Geographic Information System (GIS)-Based Stormwater Runoff Estimates for Artificial Recharge of Freshwater Aquifers in New Providence, Bahamas.” In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
- Behulu et al. (2016): “Climate Change Impact Assessment on Groundwater Recharge of the Upper Tiber Basin (Central Italy).” In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
- Abiy et al. (2016): “Groundwater Recharge and Contribution to the Tana Sub-basin, Upper Blue Nile Basin, Ethiopia.” In: Landscape Dynamics, Soils and Hydrological Processes in Varied Climates.
Remote Sensing Applications for Groundwater
- Nigatu et al. (2024): “Drought Dynamics in the Nile River Basin: Meteorological, Agricultural, and Groundwater Drought Propagation.” Remote Sensing 16(5):919.
- Nigatu et al. (2021): “Hydroclimatic Extremes Evaluation Using GRACE/GRACE‐FO and Multidecadal Climatic Variables over the Nile River Basin.” Remote Sensing 13:651.
- Nigatu et al. (2022): “Crop production response to soil moisture and groundwater depletion in the Nile Basin based on multi-source data.” Science of The Total Environment, 154007.
- Abiy & Melesse (2017): “Evaluation of Watershed Scale Changes in Groundwater and Soil Moisture Storage with the application of GRACE Satellite Imagery data.” Catena 153:50-60.
- Samani et al. (2021): “Scrutinizing Relationships between Submarine Groundwater Discharge and Upstream Areas Using Thermal Remote Sensing: A Case Study in the Northern Persian Gulf.” Remote Sensing 13(3):358.
- Melesse et al. (2007): “Wetland Restoration Response Analysis using MODIS and Groundwater Data.” Sensors 7:1916-1933.
Groundwater Prediction and Statistical Methods
- Chebud & Melesse (2011): “Operational Prediction of Groundwater Fluctuation in South Florida using Sequence based Markovian Stochastic Model.” Water Resources Management 25(9):2279-2294.
- Enku et al. (2020): “Groundwater Use of a Small Eucalyptus Patch During the Dry Monsoon Phase.” Biologia, 1-12.
Groundwater Resources Management
- Berhanu & Melesse (2014): “Surface and Ground water resources of Ethiopia: Its potential and challenges for future development.” In: Nile River Basin: Ecohydrological Challenges, Climate Change and Hydropolitics.
- Seka et al. (2022): “Hydrological drought impacts on water storage variations: a focus on the role of vegetation changes in the East Africa region. A systematic review.” Environmental Science and Pollution Research.
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