Areas of expertise
Hydrogeology , Aquifer characterization , Hydrogeological modeling , Water resources
Associate professor
Phone
418-654-2651
Email
daniel.paradis@inrs.ca
Eau Terre Environnement Research Centre
490 de la Couronne Street
Québec City, Quebec G1K 9A9
CANADA
Research interests
Professor Paradis is dedicated to studying water flow in aquifer systems at various scales, with the goal of supporting the assessment and sustainable management of groundwater resources.
His main research areas include:
- The development of imaging tools to characterize the hydraulic properties of geological structures that influence water flow and contaminant transport.
- The numerical modeling of groundwater flow and the water cycle to assess the impact of human activities and climate change on water resources.
Publications
Nefzi, A., D. Paradis, R. Lefebvre, O. Bour, N. Lavenant (2025). Field deployment and analysis of hydraulic tomography experiments with periodic slug tests in an anisotropic littoral aquifer. Journal of Hydrology, 653: art. 132747.
DOI: 10.1016/j.jhydrol.2025.132747
Paradis, D., R. Lefebvre, A. Nefzi, (2024). Parameter resolution of simulated responses to periodic hydraulic tomography signals in aquifers. Advances in Water Resources, 190: art. 104734.
DOI: 10.1016/j.advwatres.2024.104734
Oldenborger, G.A., D. Paradis (2023). Hydraulic conductivity estimation and lithological classification of an esker aquifer system using surface electrical resistivity surveys and a neural network. Journal of Applied Geophysics, 215: art. 105106.
DOI: 10.1016/j.jappgeo.2023.105106.
Claprood, M., E. Gloaguen, T. Béraud, M. Blouin, C. Dupuis, P. Ferron, M. Ouellet, M. Chaussé, R. Martel, D. Paradis, J.-M. Ballard (2022). A case study using seismic reflection and well logs to reduce and quantify uncertainty during a hydrogeological assessment. Frontiers in Water, 3.
DOI: 10.3389/frwa.2021.779149
Crow, H., D. Paradis, E. Grunewald, X.X. Liang, H.A.J. Russell (2022). Hydraulic conductivity from nuclear magnetic resonance logs in sediments with elevated magnetic susceptibilities. Ground Water, 60 (3): 377-392.
DOI: 10.1111/gwat.13158.
Delottier, H., R. Therrien, N.L. Young, D. Paradis (2022). A hybrid approach for integrated surface and subsurface hydrologic simulation of baseflow with Iterative Ensemble Smoother. Journal of Hydrology, 606: art. 127406.
DOI: 10.1016/j.jhydrol.2021.127406
Gernez, S., A. Bouchedda, E. Gloaguen, D. Paradis (2020). Aim4res, an open-source 2.5D finite differences MATLAB library for anisotropic electrical resistivity modeling. Computers & Geosciences, 135: art. 104401.
DOI: 10.1016/j.cageo.2019.104401
Gernez, S., A. Bouchedda, E. Gloaguen, D. Paradis (2019). Comparison between hydraulic conductivity anisotropy and electrical resistivity anisotropy from tomography inverse modeling. Frontiers in Environmental Science, 7.
DOI: 10.3389/fenvs.2019.00067
See previous publications on ResearchGate