Optimization of Electrodialysis for Ammonium Removal From NH₄Cl‐Doped Groundwater Samples Using the Response Surface Method

This study aims to optimize ammonium removal from NH₄Cl-enriched groundwater at different concentrations using an electrodialysis (ED) process. A customized design (CD) based on response surface methodology (RSM) was employed to develop predictive models and improve the performance of the demineralization system. Ion removal efficiency was evaluated in 32 unique experimental configurations, taking into account variations in three input parameters: voltage (A), initial ammonium concentration (B) and demineralization rate (C). These parameters were selected for their impact on two response variables: electric conductivity (Y₁) and final ammonium concentration (Y₂). An in-depth analysis of variance (ANOVA) was performed to examine the variables and their interactions. The results indicated that Y₁ was significantly influenced by C, while Y₂ was influenced by B. In addition, the predictive models demonstrated strong correlations, with a coefficient of determination (R²) greater than 0.88 for both response variables. The RSM approach applied to optimize the parameters studied identified the following optimum values: 14.17 V for A, 1 mg/L for B and 70 % for C, giving Y₁ of 215.377 μS/cm and Y₂ of 0.279 mg/L.