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title

COLOR AND COD REMOVAL FROM TEXTILE WASTEWATER USING COMBINATION OF ELECTRO-COAGULATION PROCESS AND SEQUENCING BATCH REACTOR

Author(s):

Mandakini R M

Keywords:

Textile Wastewater, COD, Biodegradability, EC, SBR, Electrodes (Iron and Aluminum)

Abstract

Wastewater quality from the textile industries have been increasing together with the growing demand for products. Wastewater from textile dyeing and finishing factories is a significant source of environmental pollution. During dyeing process in textile industries, large amount of water was consumed and generates a substantial amount of wastewater. The major environmental problem associated with the use of the reactive dyes is their loss in the dyeing process. Coagulation is mainly used for removal of the waste materials in suspended or colloidal form that do not settle out on standing or may settle. SBR technology depends upon the great potential provided by the possibilities of influencing the microbial system in the SBR and also upon the fact that SBR process are comparatively easy to operate and are cost efficient. The results obtained for optimum voltage for Iron and aluminum electrodes COD removal efficiency for the voltage 16V found to be 63.21% and 71.37%, respectively, with the electrolysis time of 90 min, color removal efficiency was obtained to be 98.24% and 99.61% by EC process. Where as in the case of biological treatment using sequencing batch reactor the COD removal efficiency using iron electrode found to be 76.9% and 73.6% for 8 hrs and 12 hrs respectively and the COD removal efficiency using aluminum electrode found to be 86.43% and 84.13% for 8 hrs and 12 hrs respectively. Electro-coagulation process and sequencing batch reactor using aluminum electrodes found to be more efficient than iron electrode. By the combination of Electro-coagulation and Sequencing batch reactor leads to be most efficient treatment, and gives best removal efficiency.

Other Details

Paper ID: IJSARTV
Published in: Volume : 3, Issue : 8
Publication Date: 8/10/2017

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