Articles | Volume 24, issue 10
https://doi.org/10.5194/hess-24-4997-2020
https://doi.org/10.5194/hess-24-4997-2020
Research article
 | 
26 Oct 2020
Research article |  | 26 Oct 2020

3D multiple-point statistics simulations of the Roussillon Continental Pliocene aquifer using DeeSse

Valentin Dall'Alba, Philippe Renard, Julien Straubhaar, Benoit Issautier, Cédric Duvail, and Yvan Caballero

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Cited articles

Aunay, B., Duvail, C., Giordana, G., Doerfliger, N., Le Strat, P., Montginoul, M., and Pistre, S.: A pluridisciplinary methodology for integrated management of a coastal aquifer: Geological, hydrogeological and economic studies of the Roussillon aquifer (Pyrénées-Orientales, France), Observatoire Océanologique – Laboratoire Arago, Vie et Milieu/Life & Environment, 56, 275–285, 2006. a, b
Barfod, A. A. S., Møller, I., Christiansen, A. V., Høyer, A.-S., Hoffimann, J., Straubhaar, J., and Caers, J.: Hydrostratigraphic modeling using multiple-point statistics and airborne transient electromagnetic methods, Hydrol. Earth Syst. Sci., 22, 3351–3373, https://doi.org/10.5194/hess-22-3351-2018, 2018. a
Boisvert, J. B., Pyrcz, M. J., and Deutsch, C. V.: Multiple-point statistics for training image selection, Nat. Resourc. Res., 16, 313–321, https://doi.org/10.1007/s11053-008-9058-9, 2007. a
Caballero, Y. and Ladouche, B.: Impact of climate change on groundwater in a confined Mediterranean aquifer, Hydrol. Earth Syst. Sci. Discuss., 12, 10109–10156, https://doi.org/10.5194/hessd-12-10109-2015, 2015. a
Chauveau, M., Chazot, S., Perrin, C., Bourgin, P.-Y., Sauquet, E., Vidal, J.-P., Rouchy, N., Martin, E., David, J., Norotte, T., Maugis, P., and De Lacaze, X.: Quels impacts des changements climatiques sur les eaux de surface en France à l'horizon 2070?, Houille Blanche, 4, 5–15, https://doi.org/10.1051/lhb/2013027, 2013. a
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Short summary
Due to climate and population evolution, increased pressure is put on the groundwater resource, which calls for better understanding and models. In this paper, we describe a novel workflow to model the geological heterogeneity of coastal aquifers and apply it to the Roussillon plain (southern France). The main strength of the workflow is its capability to model aquifer heterogeneity when only sparse data are available while honoring the local geological trends and quantifying uncertainty.
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