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

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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. 
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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. 
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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.