Authors : Prashant Dhorabe, Samruddhi Asole, Vedanta Jumde, Darshana Shende, Tushar Rewatkar, Praful Yeole
Page Nos : 43-47
Description :
Wastewater treatment plants are essential infrastructures to maintain the environmental balance of the regions where they were installed. The dynamic and complex wastewater treatment procedure must be handled efficiently to ensure good quality effluents. This paper review presents a research and development work implemented to develop a model in Support vector machine for betterment and improvement for waste water and industrial waste water treatment plant efficiency by reducing the laboratory and laborious work. From the review study it is observed that the support vector machines is better for the prediction of monitoring characteristics like Chemical Oxygen Demand(COD), Total Suspended Solids(TSS), Biochemical Oxygen Demand(BOD),Temperature,pH(Potential of Hydrogen),conductivity for Municipal/Industrial Wastewater treatment plant.This review study focus the application of WEKA (Waikato Environment for Knowledge Analysis) Software 3.8.6 in the support vector machines tools for prediction of wastewater treatment plant efficiency.
