Water Science and Technology (Dec 2022)

Electrocoagulation followed by sound agitation for removal of nitrogen and carbon-based pollutants from industrial wastewater

  • Nibedita Pani,
  • Anantha Singh T. S.,
  • Poornima M. Menon,
  • Shrestha Boruah,
  • Bhavi Patel,
  • Daya Shankar Kaul

DOI
https://doi.org/10.2166/wst.2022.364
Journal volume & issue
Vol. 86, no. 11
pp. 2861 – 2877

Abstract

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The herculean imprecation of nitrogen-based pollutant like ammoniacal nitrogen (AN) and chemical oxygen demand (COD) on aquatic milieu is now a concern for the dye, pharma and fertiliser industries. Wastewater from these is characterised with high concentration of AN, COD and total dissolved solids (TDS), treatment of which is of utmost importance for a cleaner environment. In the current research work, an attempt was made to apply integrated electro-coagulation (EC) – sonication process for the removal of COD and AN from highly acidic dye intermediate wastewater containing high to very high concentration of COD and AN. Systematic laboratory experiments were conducted for the treatment of dye intermediate wastewater and influences of pH (5–11), applied voltage (0.5–4V) and electrolysis time (30–120 min) were investigated. A Response Surface Methodology (RSM) was used for optimization of major operating parameters for EC. The conditions for minimum fraction remaining (C/C0), was found to be same for both COD and AN, i.e. pH 7, time 90 min and applied voltage 2V. The C/Co value for COD and AN were 0.244 and 0.302, respectively. The C/Co value of COD and AN in combined EC-Sonication process with optimum operating conditions were 0.145 and 0.228 respectively with sonication time 60 min at a frequency of 33 kHz. Thus, EC – sonication process is an efficacious process for their removal from dye industrial wastewater. HIGHLIGHTS Highly concentrated dye intermediate wastewater was treated with combined advanced oxidation processes.; Various influencing factors were studied including pH, voltage, and electrolysis time.; Simultaneous removal of COD and AN was chosen to understand the process efficiency.; Parametric optimization was conducted to find the optimum operating conditions.;

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