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.

地球科学中的3D组合模型匹配了解决盐度映射不确定性的良好框架。但是，在阿尔及利亚西北部的Hammam Bouhadjar含水层中，大规模地电探测被用于地下水盐分勘探，地质和地球物理测井分析。我们的工作被理解为在3D环境中，在基于概念性地球物理和地质恢复的隐式建模下重建盐度映射，并开发用于盐度的连续体积函数。因此，根据正态性检验拟合进行了3D地统计学方法的协同克里格法和顺序高斯模拟，以评估含水层盐度的不确定性评估。在3D地质模型中探索的数据模型假设电各向异性随后被重新定标以识别地下水盐度。主要结果表明盐度受电阻率纵向和横向变化的影响（纵向电阻率（LR）和总横向电阻率（TTR）的相关系数为81.3％； TTR和电阻率为70％； LR和电阻率为50％ ）与岩性地层的厚度有关，电导率（EC）与地层厚度之间的相关性接近54％。但是，我们使用大量的岩性，地球化学和地电数据来开发3D地统计模型，并更改参数以涵盖广泛的地质设置。我们考虑了非均质模拟的模式和统计量，并将它们与等效的均质模拟进行了比较，以显示通过TOUGH2流动模拟进行的优先地下水流量和盐分传输对地下水盐度的影响。在地统计学，地球物理和水文地质方法下对含盐量不确定性的隐式建模和模拟需要通过地层相关性（地质恢复）进行交互。集成方法可以进一步用于改进识别最多盐区域的策略。地球物理和水文地质方法需要通过地层相关性（地质恢复）相互作用。集成方法可以进一步用于改进识别最多盐区域的策略。地球物理和水文地质方法需要通过地层相关性（地质恢复）相互作用。集成方法可以进一步用于改进识别最多盐区域的策略。