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Diagnosis of Treatment Efficiency in Industrial Wastewater Treatment Plants: A Case Study at a Refinery ETP

IR@NEERI: National Environment Engineering Research Institute

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Title Diagnosis of Treatment Efficiency in Industrial Wastewater Treatment Plants: A Case Study at a Refinery ETP
 
Creator Kapley, A
Purohit, H J
 
Subject Industrial Wastewater Treatment & Disposal
 
Description Many industries employ the activated sludge process for biological removal of pollutants present in wastewater. Yet, treatmentplantsdonotfunctionatoptimumpotential.Thebiological component of such systems remains a black box, and reasons responsible for poor performance have not been identified. We have used genomic and physiological tools to understand the process and propose that analysis of catabolic signatures and nutrient levels, are crucial parameters in assessing and monitoring the performance of an effluent treatment plant. In this study, we use activated sludge collected from a refinery running at a capacity of 8 million metric tonnes of wastewater as a model. The presence of hydroxylases, oxygenases,anddioxygenasesin thebiomasswasdemonstrated by polymerase chain reaction and sequence analysis of aromatic-ring hydroxylating dioxygenase clones extracted from the metagenome, suggests the presence of hitherto unreported enzymes. The actual degradative state of the biomass was demonstrated by respirometric analysis using 11 substrates expected in refinery wastewater. Nutrient-levels required for the microbial population were estimated by onsite analysis. Diagnosis of the degradative potential of activated sludge can be carried out by incorporating these tools in regular monitoring procedures and can set the rules for improving the efficiency of treatment.
 
Date 2009
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://neeri.csircentral.net/141/1/kapley_a.pdf
Kapley, A and Purohit, H J (2009) Diagnosis of Treatment Efficiency in Industrial Wastewater Treatment Plants: A Case Study at a Refinery ETP. Environmental Science & Technology (43). pp. 3789-3795.
 
Relation http://neeri.csircentral.net/141/