Statistical approach in optimum conditions simulation and kinetic modeling for the confirmed electroplating industrial effluents treatment

Abstract

The present study was conducted to investigate the heavy metals removal and gaseous data simulation for the bio-treatment of the electroplating industrial effluents. The iron discharge was reduced to 165.9 ± 0.98 mg/L and 155.92 ± 0.77 mg/L from the initial concentrations of 12,657 ± 393.43 mg/L and 688.42 ± 3.17 mg/L in the respective electroplating effluents when treated at statistically confirmed conditions. Zn removal efficiency was significantly improved (~10.0%) in both the real undiluted effluents, over the diluted effluent (50% dilution). The particle size analyzer (PSA) distribution data recorded shows the smaller size particle formation of 242.1 nm and 319.85 nm during the effluent treatment. The size of the particle in the liquid components was further reduced to 45.32 nm (56.95% Intensity) and 276.1 nm (73.4% Intensity) during the effluents treated at the 50% dilutions. The hypothesis of acid and heavy metals stress was simulated by modified SWeibull models.