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01-10-2020 | Original Article | Issue 19/2020

Environmental Earth Sciences 19/2020

Implicit modeling of salinity reconstruction by using 3D combined models

Journal:
Environmental Earth Sciences > Issue 19/2020
Authors:
Abdellatif Dehni, Nourredine Kheloufi, Khaled Bouakkaz
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Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s12665-020-09175-0) contains supplementary material, which is available to authorized users.

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Abstract

3D combined models in geosciences matched a good framework for solving salinity mapping uncertainty. However, geoelectrical sounding were used for groundwater salinity exploration, geological and geophysical log analysis at large scale of the Hammam Bouhadjar aquifer situated in the Northern West of Algeria. Our work was apprehended to restructure in 3D environment the salinity mapping under the implicit modeling based on conceptual geophysical and geological restoration and development of continuous volumetric functions for salinity. Hence, 3D geostatistical approaches according the normality test fitting are performed for co-kriging and sequential Gaussian simulation to evaluate uncertainty assessment of the aquifer salinity. The data model explored in 3D geological model assume that the electrical anisotropy is rescaled subsequently to identify the groundwater salinity. The primarily result illustrate that salinity is affected by the longitudinal and transversal variations of the resistivity (Correlation coefficients for Longitudinal Resistivity (LR) and Total Transverse Resistivity (TTR) is 81.3%; TTR and Resistivity is 70%; LR and Resistivity is 50%)  related to the thickness of the lithological formations with correlations approaching 54% between Electrical Conductivity (EC) and the thickness of formations. However, we use an extensive set of lithological, geochemical and geoelectrical data to develop a 3D geostatistical model and vary the parameters to encompass a wide range of geologic settings. We consider the patterns and statistics of heterogeneous simulations and compare them to equivalent homogeneous simulations to show the influence of preferential groundwater flow and salt transport through the TOUGH2 flow simulation on groundwater salinity. Implicit modeling and simulation of salinity uncertainties under geostatistical, geophysical and hydrogeological approaches require interaction by stratigraphy correlation (geological restoration). The integrated approaches can be further used to improve strategies for identifying the most saline zones.

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