41 Publications (Page 1 of 2)
2026
AI Data Centers and the Water Use Feedback LoopAkinade, Basit A.⋅Amanambu, Amobichukwu C.⋅Frame, Jonathan M. and Ren, Shaolei.
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AI Infrastructure Superhighway
Author Correction: Ten key insights and gaps to inform drought risk research, policy and practice. Nature Water
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Dry-Period Streamflow Variance Scaling and Heavy Tails Improve Conditional Low-Flow Prediction
Ecosystem Service Mapping Identifies Opportunities to Realign Forest Management Strategies
Restoration impacts on distributary slough floodplain inundation and connectivityKumar, L.⋅Deitch, M.J.⋅Amanambu, A.C.⋅Jones PE, W.K.⋅Walls, S.⋅Sharma, A.⋅Mossa, J.⋅Gebremicael, T.G. and Kumari, R.Ecological Engineering, vol. 222.
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Surface flow dynamics using LSPIV: insights from the July 2024 flood event in Black Creek, Toronto. Physical Geography
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Teleconnection-driven predictability of the 2023 Brazilian heat wave
Temporal Dependence Improves Probabilistic Forecasts of Low-Flow Events Across CONUS Catchments
Ten key insights and gaps to inform drought risk research, policy and practice. Nature Water
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Where AI Runs Determines Water Stress
Where Data Centers Run Determines Water Stress
2025
Combining deep learning and machine learning techniques to track air pollution in relation to vegetation cover utilizing remotely sensed dataRahaman, M.⋅Southworth, J.⋅Amanambu, A.C.⋅Tefera, B.B.⋅Alruzuq, A.R.⋅Safaei, M.⋅Hasan, M.M. and Smith, A.C.Journal of Environmental Management, vol. 376.
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Enhanced river planform analysis using deep learning and medial axis transform with Sentinel 1A imageryThapa, P.⋅Davis, L.⋅Amanambu, A.⋅LaFevor, M. and Frame, J.Earth Surface Processes and Landforms, vol. 50.
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Mapping Tradeoffs and Synergies in Ecosystem Services as a Function of Forest ManagementKarimi, H.⋅Staudhammer, C.L.⋅Therrell, M.D.⋅Kleindl, W.J.⋅Mungai, L.M.⋅Amanambu, A.C. and Jones, C.N.Land, vol. 14.
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Redefining Bankfull Stage Using Machine Learning Prediction in a Large Lowland River. Earth Surface Processes and Landforms
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Stage matters for hydrologic drought assessments: implications of anthropogenically-induced hydrologic drought in a low-lying river. Journal of Hydrology
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2024
Combining Deep Learning and Machine Learning Techniques to Track Air Pollution in Relation with Vegetation Cover Through Remote Sensing DataRahaman, M.⋅Southworth, J.⋅Amanambu, A.C.⋅Tefera, B.B.⋅Alruzuq, A.⋅Safaei, M.⋅Hasan, Md.M. and Smith, A.C.
Damming consequences: Quantifying the effects on channel geometry and floodplain inundationAmanambu, A.C.⋅Mossa, J.⋅Chen, Y.-H.⋅Deitch, M. and Alruzuq, A.Catena, vol. 235.
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Hydrological drought and floodplain disconnectivity: quantifying flow thresholds in a large coastal plain riverAmanambu, A.C.⋅Mossa, J.⋅Serafin, K.A. and Binford, M.Hydrological Sciences Journal, vol. 69, pp. 2436-2454.
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Machine learning insights of anthropogenic and natural influences on riverbed deformation in a large lowland riverAmanambu, A.C. and Mossa, J.Geomorphology, vol. 446.
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Recovery and Restoration of Disturbed Sand Bars of the Apalachicola River, FloridaMossa, J.⋅Chen, Y.-H.⋅Amanambu, A.C. and Alruzuq, A.Southeastern Geographer, vol. 64, pp. 78-102.
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2022
Hydrological Drought Forecasting Using a Deep Transformer ModelAmanambu, A.C.⋅Mossa, J. and Chen, Y.-H.Water Switzerland, vol. 14.
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2020
Groundwater system and climate change: Present status and future considerations. Journal of HydrologyObarein, O.A.⋅Mossa, J.⋅Li, L.⋅Ayeni, S.S.⋅Balogun, O.⋅Oyebamiji, A. and Ochege, F.U..
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Responses and Periodic Variations of Cosmic Ray Intensity and Solar Wind Speed to Sunspot NumbersOloketuyi, J.⋅Liu, Y.⋅Amanambu, A.C. and Zhao, M.Advances in Astronomy, vol. 2020.
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