Predictive model to monitor rate of dissolved chromium in soil and water influenced by permeability and linear velocity in phreatic aquifers

A predictive model to monitor the rate of dissolved chromium influenced by linear velocity and permeability has been developed to track the movement of the metal in phreatic aquifers. The study investigates how chromium concentrations vary with depth and time, revealing dynamic deposition patterns influenced by soil stratification, porosity, and permeability. Through the comparison of theoretical values with experimental results from various locations, it was found that both parameters aligned favorably, indicating that chromium dissolution correlates with changes in concentration over time and distance. Notably, increased concentrations were observed at certain sites, attributed to higher permeability in the geological formation. This model demonstrates its utility in monitoring dissolved chromium levels, crucial for addressing the heavy metal contamination in aquatic ecosystems, particularly within developing nations like Nigeria that lack effective water quality monitoring tools. The findings underscore the importance of understanding the hydrogeological factors affecting contaminant transport in groundwater systems.