Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/106970
Type: Artigo de evento
Title: Simulation Of An Industrial Wastewater Treatment Plant Using Artificial Neural Networks
Author: Gontarski C.A.
Rodrigues P.R.
Mori M.
Prenem L.F.
Abstract: This work presents a way to predict the environmental properties of the output stream from the wastewater treatment plant at Rhodiaco Ltda, one of the major chemical plants in Brazil. The industrial plant produces purified terephtalic acid and generates wastewater that should be treated in an activated sludge system. The influence of input variables is analyzed, and satisfactory predicted results are obtained for an optimized situation. (C) 2000 Elsevier Science Ltd.This work presents a way to predict the environmental properties of the output stream from the wastewater treatment plant at Rhodiaco Ltda, one of the major chemical plants in Brazil. The industrial plant produces purified terephtalic acid and generates wastewater that should be treated in an activated sludge system. The influence of input variables is analyzed, and satisfactory predicted results are obtained for an optimized situation.
Editor: Elsevier Science Ltd, Exeter, United Kingdom
Rights: fechado
Identifier DOI: 10.1016/S0098-1354(00)00449-X
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0034661321&partnerID=40&md5=e1e867cecf9b00648872d5c8a9b5679b
Date Issue: 2000
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
2-s2.0-0034661321.pdf389.19 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.