scholarly journals Applying 3D Geostatistical Simulation to Improve the Groundwater Management Modelling of Sedimentary Aquifers: The Case of Doñana (Southwest Spain)

Water ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 39 ◽  
Author(s):  
Nuria Naranjo-Fernández ◽  
Carolina Guardiola-Albert ◽  
Esperanza Montero-González

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.

2011 ◽  
Vol 58 (7) ◽  
pp. 670-675 ◽  
Author(s):  
Woonghee Tim Huh ◽  
Chandra Kiran Krishnamurthy ◽  
Richard Weber

2005 ◽  
Vol 19 (5) ◽  
pp. 585-604 ◽  
Author(s):  
Mohamed A. Dawoud ◽  
Madiha M. Darwish ◽  
Mona M. El-Kady

2011 ◽  
Vol 14 (2) ◽  
pp. 386-394 ◽  
Author(s):  
Furong Yu ◽  
Wenxi Lu ◽  
Ping Li ◽  
Xin Xin ◽  
Jun Li

It is well known that obtaining optimal solutions for groundwater management models with covariates is a challenging task, especially for dynamic planning and management. Here, a theory and method of dealing with mutual-feed joint variation in groundwater management models is described. Specifically, an equation expressing the inherent connection between covariates and groundwater level was developed. This equation was integrated into a mathematical simulation model of groundwater, after which a groundwater dynamic optimization management model with covariates was constructed using the state transition equation method and solved with differential dynamic programming algorithms. Finally, the above theory and method were applied to a hypothetical groundwater system. For the same groundwater system, a groundwater management model with covariates was developed and the results of the two optimization methods were found to be nearly identical, which validated the theory and methods put forth here.


1994 ◽  
Vol 20 (7-8) ◽  
pp. 1065-1102 ◽  
Author(s):  
Amitabha Mukhopadhyay ◽  
Dipankar Saha ◽  
Ajit Kumar Saha

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