Next Article in Journal
Incidence of Watershed Land Use on the Consumption of Meso and Microplastics by Fish Communities in Uruguayan Lowland Streams
Previous Article in Journal
Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling
Previous Article in Special Issue
Transmissivity Estimates by Specific Capacity Data of Some Fractured Italian Carbonate Aquifers
Article

Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France)

1
AGHYLE, Institut Polytechnique UniLaSalle Beauvais, SFR Condorcet FR CNRS 3417, 19 Rue Pierre Waguet, BP 30313, CEDEX, 60026 Beauvais, France
2
CEREMA Risques Eaux et Mer (REM) EPR HA, 134 Rue de Beauvais, 60280 Margny-Les-Compiègne, France
*
Author to whom correspondence should be addressed.
Academic Editor: Aldo Fiori
Water 2021, 13(11), 1574; https://doi.org/10.3390/w13111574
Received: 2 May 2021 / Revised: 22 May 2021 / Accepted: 24 May 2021 / Published: 2 June 2021
(This article belongs to the Special Issue Methods and Tools for Assessment of Groundwater)
The present paper proposes the numerical solution of an inverse problem in groundwater flow (Darcy’s equation). This solution was achieved by combining a high-resolution new code HYSFLO-LBM (Hydrodynamic of Subsurface Flow by Lattice Boltzmann Method), based on LBM, to solve the direct problem, and the metaheuristic optimization algorithm CMA-ES ES (Covariance Matrix Adaptation-Evolution Strategy) to solve the optimization step. The integrated optimization algorithm which resulted from this combination, HYSFLO-LBM/CMA-ES, was applied to the hydrogeological experimental site of Beauvais (Northern France), instrumented by a set of sensors distributed over 20 hydrogeological wells. Hydrogeological parameters measured by the sensors are necessary to understand the aquifer functioning and to serve as input data for the identification of the transmissivity field by the HYSFLO-LBM/CMA-ES code. Results demonstrated an excellent concordance between the integrated optimization algorithm and hydrogeological applied methods (pumping test and magnetic resonance sounding). The spatial distribution of the transmissivity and hydraulic conductivity are related to the heterogeneous distribution of aquifer formations. The LBM and CMA-ES were chosen for their proven excellent performance and lesser cost, in terms of both money and time, unlike the geophysical survey and pumping test. The model can be used and developed as a decision support tool for integrated water resources management in the region. View Full-Text
Keywords: groundwater; modeling; Lattice Boltzmann method; chalk aquifer; transmissivity; heterogeneity groundwater; modeling; Lattice Boltzmann method; chalk aquifer; transmissivity; heterogeneity
Show Figures

Graphical abstract

MDPI and ACS Style

Zouhri, L.; Kaidi, S.; Smaoui, H. Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France). Water 2021, 13, 1574. https://doi.org/10.3390/w13111574

AMA Style

Zouhri L, Kaidi S, Smaoui H. Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France). Water. 2021; 13(11):1574. https://doi.org/10.3390/w13111574

Chicago/Turabian Style

Zouhri, Lahcen, Sami Kaidi, and Hassan Smaoui. 2021. "Parameter Identification by High-Resolution Inverse Numerical Model Based on LBM/CMA-ES: Application to Chalk Aquifer (North of France)" Water 13, no. 11: 1574. https://doi.org/10.3390/w13111574

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop