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Karatas, B. S., Camoglu, G., & Olgen, M. K. (2013). Spatio-temporal trend analysis of the depth and salinity of the groundwater, using geostatistics integrated with GIS, of the Menemen Irrigation System, Western Turkey. Ekoloji, 22(86), 36–47.
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Yaouti*, F. E., Mandour, A. E., Khattach, D., Benavente, J., & Kaufmann, O. (2009). Salinization processes in the unconfined aquifer of Bou-Areg (NE Morocco): A geostatistical, geochemical, and tomographic study. Appl. Geochemistry, 24(1), 16–31.
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Garcia*, L. A., & Shigidi, A. (2006). Using neural networks for parameter estimation in ground water. Hydrogeol. J., 318, 215–231.
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Li*, L., Zhou, H., Franssen, H. J. H., & Gómez-Hernández, J. J. (2012). Groundwater flow inverse modeling in non-MultiGaussian media: performance assessment of the normal-score Ensemble Kalman Filter. Hydrol. Earth Syst. Sci., 16(2), 573–590.
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Naranjo-Fernández, N., Guardiola-Albert, C., & Montero-González, E. (2019). Applying 3D geostatistical simulation to improve the groundwater management modelling of sedimentary aquifers: The case of Doñana (Southwest Spain). Water, 11, 39.
Abstract: Mathematical groundwater modelling with homogeneous permeability zones has been used for decades to manage water resources in the Almonte-Marismas aquifer (southwest Spain). This is a highly heterogeneous detrital aquifer which supports valuable ecological systems in the Doñana National Park. The present study demonstrates that it is possible to better characterize this heterogeneity by numerical discretization of the geophysical and lithological data available. We identified six hydrofacies whose spatial characteristics were quantified with indicator variogram modelling. Sequential Indicator Simulation then made it possible to construct a 3D geological model. Finally, this detailed model was included in MODFLOW through the Model Muse interface. This final process is still a challenge due to the difficulty of downscaling to a handy numerical modelling scale. New piezometric surfaces and water budgets were obtained. The classical model with zones and the model with 3D simulation were compared to confirm that, for management purposes, the effort of improving the geological heterogeneities is worthwhile. This paper also highlights the relevance of including subsurface heterogeneities within a real groundwater management model in the present global change scenario.
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