{"id":21,"date":"2024-11-12T16:07:42","date_gmt":"2024-11-12T15:07:42","guid":{"rendered":"https:\/\/portfolio-temp.uqac.ca\/adoubivincentdepauladombi\/?page_id=21"},"modified":"2026-05-25T15:10:50","modified_gmt":"2026-05-25T13:10:50","slug":"publications","status":"publish","type":"page","link":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<h1><strong>Management of Natural Ecosystems<\/strong><\/h1>\n<ul>\n<li><strong>Adombi<\/strong>, A.V.D.P., Yaseen, Z.M., 2026. Cumulative pressures threaten the Red Sea. <strong>Science<\/strong>, 392(6793): 36-36. DOI:<a href=\"https:\/\/doi.org\/10.1126\/science.aeg1913\">https:\/\/doi.org\/10.1126\/science.aeg1913<\/a><\/li>\n<\/ul>\n<h1><strong>Scientific Machine Learning and Autonomous physics discovery<\/strong><\/h1>\n<ul>\n<li><strong>Adombi<\/strong>, A.V.D.P., 2026. DeepDiscover: towards autonomous discovery of bucket-type conceptual models \u2013 a proof of concept applied to hydrology. <strong>Journal of Hydrology<\/strong>, 671: 135249. DOI:<a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2026.135249\">https:\/\/doi.org\/10.1016\/j.jhydrol.2026.135249<\/a><\/li>\n<li><strong>Adombi<\/strong>, 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. J<strong>ournal of Hydrology<\/strong>, 637: 131370. DOI:<a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2024.131370\">https:\/\/doi.org\/10.1016\/j.jhydrol.2024.131370<\/a><\/li>\n<li><strong>Adombi<\/strong>, A.V.D.P., Chesnaux, R., 2025. Soft causal constraints in groundwater machine learning: a new way to balance accuracy and physical consistency. <strong>Environmental Earth Sciences<\/strong>, 84(2): 71. DOI:<a href=\"https:\/\/doi.org\/10.1007\/s12665-024-12063-6\">https:\/\/doi.org\/10.1007\/s12665-024-12063-6<\/a><\/li>\n<li><strong>Adombi<\/strong>, A.V.D.P., Chesnaux, R., 2026. Key drivers of physics-embedded machine learning performance for streamflow prediction. <strong>Environmental Earth Sciences<\/strong>, 85(8): 197. DOI:<a href=\"https:\/\/doi.org\/10.1007\/s12665-026-12919-z\">https:\/\/doi.org\/10.1007\/s12665-026-12919-z<\/a><\/li>\n<li><strong>Adombi<\/strong>, A.V.D.P., Chesnaux, R., Boucher, M.-A., 2021. Review: Theory-guided machine learning applied to hydrogeology\u2014state of the art, opportunities and future challenges. <strong>Hydrogeology Journal<\/strong>, 29(8): 2671-2683. DOI:<a href=\"https:\/\/doi.org\/10.1007\/s10040-021-02403-2\">https:\/\/doi.org\/10.1007\/s10040-021-02403-2<\/a><\/li>\n<li><strong>Adombi<\/strong>, 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. <strong>Journal of Hydrology<\/strong>: 128600. DOI:<a href=\"https:\/\/doi.org\/10.1016\/j.jhydrol.2022.128600\">https:\/\/doi.org\/10.1016\/j.jhydrol.2022.128600<\/a><\/li>\n<li>Fakhri, D., Saeidi, A., <strong>Adombi<\/strong>, A.V.D.P., 2026. Development of a semi-empirical equation for a hydraulic intensity factor in unlined dam spillways. <strong>Engineering Geology<\/strong>\u00a0(<em><strong>Submitted<\/strong><\/em>)<\/li>\n<li>Fakhri, D., Saeidi, A., <strong>Adombi<\/strong>, A.V.D.P., 2026. Predicting Sub-Block Hydraulic Intensity in Unlined Jointed Rock Spillways: A Buckingham\u2013\u03c0-Guided Machine-Learning Framework. (<strong>to be submitted<\/strong>)<\/li>\n<\/ul>\n<h1>Water Resource Management<\/h1>\n<ul>\n<li><strong>Adombi<\/strong>, 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. <strong>Environmental Earth Sciences<\/strong>, 83(6): 183. DOI:<a href=\"https:\/\/doi.org\/10.1007\/s12665-024-11466-9\">https:\/\/doi.org\/10.1007\/s12665-024-11466-9<\/a><\/li>\n<li>Jamei, M., Farooque, A.A., Ali, M., <strong>Adombi<\/strong>, 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. (<strong>submitted<\/strong>)<\/li>\n<li>Yaseen, Z.M., <strong>Adombi<\/strong>, A.V.D.P., 2026. A new evaluation standard to dispel the illusion of progress in Artificial intelligence-based hydrology. <strong>Water Resources Research<\/strong> (<strong>to be submitted<\/strong>)<\/li>\n<\/ul>\n<h1>Interdisciplinary Research<\/h1>\n<ul>\n<li><span data-olk-copy-source=\"MessageBody\">Yaseen, Z.M., Alzaeemi, S., Doost, Z.H., <strong>Adombi<\/strong>, A.V.D.P., Sharafari, A.; Tee, K.F., <\/span>2026. <span data-olk-copy-source=\"MessageBody\">Development of Hybrid Adaptive Neuro Fuzzy Inference System with Silverback Gorilla Optimization for Solar Radiation Prediction<\/span>. <strong>Scientific Reports <\/strong>(<strong>submitted<\/strong>)<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Management of Natural Ecosystems Adombi, A.V.D.P., Yaseen, Z.M., 2026. Cumulative pressures threaten the Red Sea. Science, 392(6793): 36-36. DOI:https:\/\/doi.org\/10.1126\/science.aeg1913 Scientific Machine Learning and Autonomous physics discovery Adombi, A.V.D.P., 2026. DeepDiscover: towards autonomous discovery of bucket-type conceptual models \u2013 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., &hellip; <a href=\"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/publications\/\" class=\"more-link\">Continuer la lecture de <span class=\"screen-reader-text\">Publications<\/span>  <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":89,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"tags":[],"_links":{"self":[{"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/pages\/21"}],"collection":[{"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/users\/89"}],"replies":[{"embeddable":true,"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/comments?post=21"}],"version-history":[{"count":7,"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/pages\/21\/revisions"}],"predecessor-version":[{"id":66,"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/pages\/21\/revisions\/66"}],"wp:attachment":[{"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/media?parent=21"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/portfolio.uqac.ca\/adoubivincentdepauladombi\/wp-json\/wp\/v2\/tags?post=21"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}