Contact

Adresse
5 rue René Descartes
67084 Strasbourg Cedex
France

Téléphone
+33 3 68 85 05 04

Fax
+33 3 68 85 04 02

Email
lehmann(-at-)unistra.fr

Bureau

G221 - 3ième étage

 

Professeur - UdS

Thèmes de recherche

  • développement de modèles robustes permettant de décrire l’hydrodynamique en milieux poreux hétérogènes non saturés ;
  • estimation des paramètres hydrodynamiques par approche inverse ;
  • mise en œuvre d’expériences de laboratoire pour améliorer la connaissance des processus de transfert et vérifier/valider les outils théoriques d’identification des paramètres et les outils numériques développés.

Bibliographie

François Lehmann, Mohammad Mahdi Rajabi, Benjamin Belfort, Frederick Delay, Marwan Fahs, Philippe Ackerer, Anis Younes. 2022. Bayesian inversion of laboratory experiments of transport through limestone fractures. Journal of Contaminant Hydrology, Volume 249- 104045.

Rajabi M. M., Javaran M. R. H., Bah A.-O., Frey G., Le Ber F., Lehmann F., Fahs M. 2022. Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media. International. Journal of Heat and Mass Transfer, Volume 183, Part B, 122131.

M. Prieto-Espinoza, S. Weill, B. Belfort, E.E.L. Muller, J. Masbou, F. Lehmann, S. Vuilleumier, G. Imfeld, 2021. Water table fluctuations affect dichloromethane biodegradation in lab-scale aquifers contaminated with organohalides. Water Research, Volume 203, 15 September 2021, 117530

Rajabi, M. M., Belfort, B., Lehmann, F., Weill, S., Ataie-Ashtiani, B., Fahs, M. ,2020. An improved Kalman filtering approach for the estimation of unsaturated flow parameters by assimilating photographic imaging data. Journal of Hydrology, 590, 125373.

F. Lehmann, 2020. High-altitude free fall and parameter estimation for undergraduate numerical techniques laboratory. Published 17 August 2020. European Journal of Physics, Volume 41, Number 5, 055803

Younes A., Zaouali J., Kanzari S., Lehmann F., Fahs M.,2019. Bayesian simultaneous estimation of unsaturated flow and solute transport parameters from a laboratory infiltration experiment. Water 11(8):1660, 2019

Belfort B., Weill S., Fahs M., Lehmann F. : 2019. Laboratory Experiments of Drainage, Imbibition and Infiltration under Artificial Rainfall Characterized by Image Analysis Method and Numerical Simulations. Water, 11(11) : 2232.

Benjamin Belfort, Ivan Toloni, Philippe Ackerer, Solenn Cotel, Daniel Viville and François Lehmann, 2018. Vadose Zone Modeling in a Small Forested Catchment : Impact of Water Pressure Head Sampling Frequency on 1D-Model Calibration. Geosciences 8(2), 72 ; https://doi.org/10.3390/geosciences8020072

Anis Younes, Jabran Zaouali, François Lehmann, and Marwan Fahs, 2018. Sensitivity and identifiability of hydraulic and geophysical parameters from streaming potential signals in unsaturated porous media. Hydrol. Earth Syst. Sci., 22, 3561-3574, https://doi.org/10.5194/hess-22-3561-2018.

Benjamin Belfort, Sylvain Weill, François Lehmann, 2017. Image analysis method for the measurement of water saturation in a two-dimensional experimental flow tank. Journal of Hydrology (550)343–354.

Ivan Toloni, François Lehmann, Philippe Ackerer, 2016. Modeling the effects of water content on TiO2 nanoparticles transport in porous media. Journal of Contaminant Hydrology (191)76-87.

Mara T.A., Delay F., Lehmann F., Younes A. 2016. A comparison of Two Bayesian approaches for uncertainty quantification. Environmental Modelling & Software (82)21–30, doi:10.1016/j.envsoft.2016.04.010

K. Seki, Ph. Ackerer, F. Lehmann, 2015. Sequential estimation of hydraulic parameters in layered soil using limited data. Geoderma (247-248)117-128.

V. Allègre, L. Jouniaux, F. Lehmann, P. Sailhac and R. Toussaint, 2015. Influence of water pressure dynamics and fluid flow on the streaming-potential response for unsaturated conditions. Geophysical Prospecting (63-3)694-712.

Ivan Toloni, François Lehmann, Philippe Ackerer, 2014. Modeling the effects of water velocity on TiO2 nanoparticles transport in saturated porous media. Journal of Contaminant Hydrology, 171(15)42-48.

Allègre, V., Maineult, A., Lehmann, F., Lopes, F., Zamora, M., 2014. Self-potential response to drainage-imbibition cycles. Geophysical Journal International, 197(3)1410-1424.

Belfort, B., Younes, A., Fahs, M. & Lehmann, F. 2013. On equivalent hydraulic conductivity for oscillation-free solutions of Richard’s equation. Journal of Hydrology, vol. 505, pp. 202-217.

Younes, A., Mara, T.A., Fajraoui, N., Lehmann, F., Belfort, B. & Beydoun, H. 2013.
Use of global sensitivity analysis to help assess unsaturated soil hydraulic parameters. Vadose Zone Journal, vol. 12, no. 1.

Loyaux-Lawniczak, S., Lehmann, F. & Ackerer, P. 2012. Acid/base front propagation in saturated porous media : 2D laboratory experiments and modeling. Journal of contaminant hydrology, vol. 138-139, pp.15-21.

V. Allègre, F. Lehmann, P. Ackerer, L. Jouniaux, P. Sailhac, 2012. A 1-D modelling of streaming potential dependence on water content during drainage experiment in sand. Geophysical Journal International DOI : 10.1111/j.1365-246X.2012.05371.xV.

V. Allègre, L. Jouniaux, F. Lehmann and P. Sailhac, 2011. Reply to comment by A. Revil and N. Linde on ‘Streaming potential dependence on water-content in Fontainebleau sand’. Geophysical Journal International, 186(1)115-117.

Bnouni C, J. Sghaier, H. Sammouda, F. Lehmann, 2010. Parameter estimation of soil hydraulic functions for unsaturated porous media using an inverse problem and multistep outflow experiment. Journal of Porous Media, 13(8)691-706.

V. Allègre, L. Jouniaux, F. Lehmann and P. Sailhac, 2010. Streaming potential dependence on water-content in Fontainebleau sand. Geophysical Journal International 182(3)1248-1266.