Publications

Management of Natural Ecosystems

Scientific Machine Learning and Autonomous physics discovery

  • Adombi, A.V.D.P., 2026. DeepDiscover: towards autonomous discovery of bucket-type conceptual models – a proof of concept applied to hydrology. Journal of Hydrology, 671: 135249. DOI:https://doi.org/10.1016/j.jhydrol.2026.135249
  • Adombi, A.V.D.P., Chesnaux, R., Boucher, M.-A., Braun, M., Lavoie, J., 2024b. A causal physics-informed deep learning formulation for groundwater flow modeling and climate change effect analysis. Journal of Hydrology, 637: 131370. DOI:https://doi.org/10.1016/j.jhydrol.2024.131370
  • Adombi, A.V.D.P., Chesnaux, R., 2025. Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency. Environmental Earth Sciences, 84(2): 71. DOI:https://doi.org/10.1007/s12665-024-12063-6
  • Adombi, A.V.D.P., Chesnaux, R., 2026. Key drivers of physics-embedded machine learning performance for streamflow prediction. Environmental Earth Sciences, 85(8): 197. DOI:https://doi.org/10.1007/s12665-026-12919-z
  • Adombi, A.V.D.P., Chesnaux, R., Boucher, M.-A., 2021. Review: Theory-guided machine learning applied to hydrogeology—state of the art, opportunities and future challenges. Hydrogeology Journal, 29(8): 2671-2683. DOI:https://doi.org/10.1007/s10040-021-02403-2
  • Adombi, A.V.D.P., Chesnaux, R., Boucher, M.-A., 2022. Comparing numerical modelling, traditional machine learning and theory-guided machine learning in inverse modeling of groundwater dynamics: a first study case application. Journal of Hydrology: 128600. DOI:https://doi.org/10.1016/j.jhydrol.2022.128600
  • Fakhri, D., Saeidi, A., Adombi, A.V.D.P., 2026. Development of a semi-empirical equation for a hydraulic intensity factor in unlined dam spillways. Engineering Geology (Submitted)
  • Fakhri, D., Saeidi, A., Adombi, A.V.D.P., 2026. Predicting Sub-Block Hydraulic Intensity in Unlined Jointed Rock Spillways: A Buckingham–π-Guided Machine-Learning Framework. (to be submitted)

Water Resource Management

  • Adombi, A.V.D.P., Chesnaux, R., Boucher, M.-A., 2024a. Toward a methodology to explore historical groundwater level trends and their origin: the case of Quebec, Canada. Environmental Earth Sciences, 83(6): 183. DOI:https://doi.org/10.1007/s12665-024-11466-9
  • Jamei, M., Farooque, A.A., Ali, M., Adombi, A.V.D.P., Jamei, M., Esau, T. J., Randhawa, G. S., Faramarzi, M., 2026. An Intelligent-Aware Jump-Capture based on Framework Hydrometeorological information to forecast Root zone Soil Moisture. (submitted)
  • Yaseen, Z.M., Adombi, A.V.D.P., 2026. A new evaluation standard to dispel the illusion of progress in Artificial intelligence-based hydrology. Water Resources Research (to be submitted)

Interdisciplinary Research

  • Yaseen, Z.M., Alzaeemi, S., Doost, Z.H., Adombi, A.V.D.P., Sharafari, A.; Tee, K.F., 2026. Development of Hybrid Adaptive Neuro Fuzzy Inference System with Silverback Gorilla Optimization for Solar Radiation Prediction. Scientific Reports (submitted)