Articles | Volume 26, issue 23
https://doi.org/10.5194/hess-26-6147-2022
https://doi.org/10.5194/hess-26-6147-2022
Research article
 | 
08 Dec 2022
Research article |  | 08 Dec 2022

Three-dimensional hydrogeological parametrization using sparse piezometric data

Dimitri Rambourg, Raphaël Di Chiara, and Philippe Ackerer

Related authors

Sensitivity of time-lapse magnetic resonance sounding to vadose zone hydrodynamic parameters: monitoring of an intense meteorological event
Guillaume Gru, Jean-François Girard, Philippe Ackerer, and Nolwenn Lesparre
EGUsphere, https://doi.org/10.5194/egusphere-2026-3611,https://doi.org/10.5194/egusphere-2026-3611, 2026
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
Relative importance of uncertain model parameters driving water fluxes in a Land Surface Model
David Luttenauer, Aronne Dell'Oca, Alberto Guadagnini, Sylvain Weill, and Philippe Ackerer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-73,https://doi.org/10.5194/hess-2024-73, 2024
Revised manuscript not accepted
Short summary
Impacts of hydrofacies geometry designed from seismic refraction tomography on estimated hydrogeophysical variables
Nolwenn Lesparre, Sylvain Pasquet, and Philippe Ackerer
Hydrol. Earth Syst. Sci., 28, 873–897, https://doi.org/10.5194/hess-28-873-2024,https://doi.org/10.5194/hess-28-873-2024, 2024
Short summary
Estimation par approche inverse d'un champ de transmissivité sur l'ensemble de l'aquifère du Continental Terminal (CT) d'Abidjan
Kouamé Auguste Kouassi, William Francis Kouassi, Oi Mangoua Jules Mangoua, Philippe Ackerer, Gountôh Aristide Douagui, and Issiaka Savané
Proc. IAHS, 384, 49–56, https://doi.org/10.5194/piahs-384-49-2021,https://doi.org/10.5194/piahs-384-49-2021, 2021
Short summary

Cited articles

Ackerer, P., Trottier, N., and Delay, F.: Flow in double-porosity aquifers: Parameter estimation using an adaptive multiscale method, Adv. Water Resour., 73, 108–122, https://doi.org/10.1016/j.advwatres.2014.07.001, 2014. 
Beven K.: Environmental modelling – An uncertain future?, Routledge, London, 310 pp., ISBN 9780415457590, 2009. 
Boni, R., Meisina, C., Teatini, P., Zucca, F., Zoccarato, C., Franceschini, A., Ezquerro, P., Béjar-Pizarro, M., Fernàndez-Merodo, J. A., Guardiola-Albert, C., Pastor, J. L., Tomás, R., and Herrera, G.: 3D groundwater flow and deformation modelling of Madrid aquifer, J. Hydrol., 585, 124773, https://doi.org/10.1016/j.jhydrol.2020.124773, 2020. 
Byrd, R. H., Lu, P., Nocedal, J., and Zhu, C.: A limited memory algorithm for bound constrained optimization, J. Sci. Comput., 16, 1190–1208, https://doi.org/10.1137/0916069, 1995. 
Calcagno, P., Chilès, J.-P., Courrioux, G., and Guillen, A.: Geological modelling from field data and geological knowledge: Part I. Modelling method coupling 3D potential-field interpolation and geological rules, Phys. Earth Planet. In., 171, 147–157, https://doi.org/10.1016/j.pepi.2008.06.013, 2008. 
Download
Short summary
The reproduction of flows and contaminations underground requires a good estimation of the parameters of the geological environment (mainly permeability and porosity), in three dimensions. While most researchers rely on geophysical methods, which are costly and difficult to implement in the field, this study proposes an alternative using data that are already widely available: piezometric records (monitoring of the water table) and the lithological description of the piezometric wells.
Share