Abstarct: In recent years, groundwater resources worldwide have been increasingly threatened by pollution from various natural and anthropogenic sources. Traditional models, such as the advection-dispersion equation (ADE), have proven inadequate for accurately describing and assessing solute transport within groundwater systems. As a result, there is a growing need to adopt alternative models. The dual-domain mass transfer (DDMT) model is particularly effective in this regard. It divides the porous medium into two domains, mobile (θ_m ) and immobile ( θ_im), facilitating mass exchange between them. This approach often provides a more accurate representation of many systems compared to the advection-dispersion model. However, a significant challenge with the DDMT model lies in estimating its parameters directly. Typically, these parameters are determined through optimization processes. This thesis investigates solute transport behavior in two saturated porous media, silica sand and zeolite clinoptilolite, by monitoring and modeling non-reactive (NaCl) and reactive (NaNO3) tracer tests. The study identifies and tracks the dual-domain mass transfer process using tracer tests conducted in columns filled with silica sand and zeolite clinoptilolite. The experiments incorporated the installation of potential and current electrodes to measure co-located fluid electrical conductivity ( σ_f) and bulk electrical conductivity (σ_b). Preliminary results demonstrate the effectiveness of the geoelectrical resistivity method in tracking mass transfer into and out of immobile pore spaces under controlled laboratory conditions. Unexpectedly, experiments with silica sand revealed a hysteretic relationship between σ_f and σ_b, which, according to Field Emission Scanning Electron Microscopy (FESEM) analysis, may be attributed to the presence of aggregated particles. Tracer experiments in the zeolite column further confirmed that intragranular porosity functions as an immobile domain for solute storage, with adsorption by zeolite active sites leading to heavy-tailed breakthrough curves (BTCs) and hysteresis between σ_f and σ_b. The root mean square error (RMSE) analysis between experimental data and simulations revealed that both non-reactive and reactive DDMT models better captured the BTCs compared to the non-reactive and reactive ADE models. The Monte Carlo analysis indicated that the DDMT parameters were velocity-dependent, showing a decrease in estimated immobile porosity and an increase in the first-order mass transfer rate coefficient (α) with higher flow rates. The findings of this research affirm the superiority of the non-Fickian theory over the classical model in understanding solute transport in natural porous media. Furthermore, the results illustrate that alongside the physical and chemical characteristics of the soil, flow velocity significantly influences physical solute transport parameters.