Field-scale modelling reveals dynamic groundwater flow and transport patterns in a high-energy subterranean estuary

Janek Greskowiak, Rena Meyer, Jairo Cueto, Nico Skibbe, Anja Reckhardt, Thomas Günther, Stephan L. Seibert, Kai Schwalfenberg, Dietmar Pommerin, Mike Müller-Petke and Gudrun Massmann

Hydrol. Earth Syst. Sci., 2025, 29, 7127
DOI: 10.5194/hess-29-7127-2025

Assessing the impacts of climate change and anthropogenic activities on non-point source pollutions in shallow lakes by using an OEO-LSTM hybrid model

Haomiao Cheng, Fukang Yang, Wei Jiang, Tengyi Zhu, Hainan Wu, Lihua Zhang, Ying Ma and Wei Ma

Process Safety and Environmental Protection, 2025, 202, 107760
DOI: 10.1016/j.psep.2025.107760

In Situ Recovery of Copper: Identifying Mineralogical Controls via Model-Based Analysis of Multistage Column Leach Experiments

Pablo Ortega-Tong, James Jamieson, Laura Kuhar, Leon Faulkner and Henning Prommer

ACS EST Eng., 2023, 3, 773
DOI: 10.1021/acsestengg.2c00404

In situ arsenic immobilisation for coastal aquifers using stimulated iron cycling: Lab-based viability assessment

Alyssa Barron, Jing Sun, Stefania Passaretti, Chiara Sbarbati, Maurizio Barbieri, Nicolò Colombani, James Jamieson, Benjamin C. Bostick, Yan Zheng, Micòl Mastrocicco, Marco Petitta and Henning Prommer

Applied Geochemistry, 2022, 136, 105155
DOI: 10.1016/j.apgeochem.2021.105155

Leveraging explainable machine learning for enhanced management of lake water quality

Sajad Soleymani Hasani, Mauricio E. Arias, Hung Q. Nguyen, Osama M. Tarabih, Zachariah Welch and Qiong Zhang

Journal of Environmental Management, 2024, 370, 122890
DOI: 10.1016/j.jenvman.2024.122890

Modeling the Competition and Controls for Denitrification and Dissimilatory Nitrate Reduction to Ammonium (DNRA) in Riparian Sediments

Bisesh Joshi, Dipankar Dwivedi, Md. Moklesur Rahman, Matthew G. Sena, Eric R. Moore, Joseph G. Galella, Marc Peipoch, Jinjun Kan, Paul Imhoff and Shreeram Inamdar

JGR Biogeosciences, 2025, 130
DOI: 10.1029/2025JG009072

Source identification and prediction of nitrogen and phosphorus pollution of Lake Taihu by an ensemble machine learning technique

Yirong Hu, Wenjie Du, Cheng Yang, Yang Wang, Tianyin Huang, Xiaoyi Xu and Wenwei Li

Front. Environ. Sci. Eng., 2023, 17
DOI: 10.1007/s11783-023-1655-7

Sulfate reduction accelerates groundwater arsenic contamination even in aquifers with abundant iron oxides

Athena A. Nghiem, Henning Prommer, M. Rajib H. Mozumder, Adam Siade, James Jamieson, Kazi Matin Ahmed, Alexander van Geen and Benjamin C. Bostick

Nat Water, 2023, 1, 151
DOI: 10.1038/s44221-022-00022-z

Process-Based and Probabilistic Quantification of Co and Ni Mobilization Risks Induced by Managed Aquifer Recharge

Claudio Vergara-Sáez, Henning Prommer, Adam J. Siade, Jing Sun and Simon Higginson

Environ. Sci. Technol., 2024, 58, 7567
DOI: 10.1021/acs.est.3c10583

Editorial: Modeling the link between microbial ecology and biogeochemical process dynamics

Martin Thullner, Eoin L. Brodie, Christof Meile and Holger Pagel

Front. Ecol. Evol., 2022, 10
DOI: 10.3389/fevo.2022.994090

Model-Based Analysis of Arsenic Retention by Stimulated Iron Mineral Transformation under Coastal Aquifer Conditions

Alyssa Barron, James Jamieson, Nicolò Colombani, Benjamin C. Bostick, Pablo Ortega-Tong, Chiara Sbarbati, Maurizio Barbieri, Marco Petitta and Henning Prommer

ACS EST Water, 2024, 4, 2944
DOI: 10.1021/acsestwater.4c00134

muFlowReacT: A Library to Solve Multiphase Multicomponent Reactive Transport on Unstructured Meshes

O. Atteia, H. Prommer, D. Vlassopoulos, L. André and G. Cohen

Groundwater, 2024, 62, 357
DOI: 10.1111/gwat.13345

Oxidative Dissolution of Arsenic-Bearing Sulfide Minerals in Groundwater: Impact of Hydrochemical and Hydrodynamic Conditions on Arsenic Release and Surface Evolution

Lucien Stolze, Maria Battistel and Massimo Rolle

Environ. Sci. Technol., 2022, 56, 5049
DOI: 10.1021/acs.est.2c00309

Molybdenum Mobility During Managed Aquifer Recharge in Carbonate Aquifers

Sarah Koopmann, Henning Prommer, Adam Siade and Thomas Pichler

Environ. Sci. Technol., 2023, 57, 7478
DOI: 10.1021/acs.est.2c08619