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dc.contributor.convenorMichael Storey and Pierre Le Clechen_AU
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorFogelman, Shoshanaen_US
dc.contributor.authorZhang, Shanqingen_US
dc.contributor.authorZhao, Huijunen_US
dc.contributor.editorMichael Storey and Pierre Le Clechen_US
dc.date.accessioned2017-04-04T17:02:51Z
dc.date.available2017-04-04T17:02:51Z
dc.date.issued2006en_US
dc.date.modified2009-11-02T05:24:53Z
dc.identifier.refurihttp://www.ywp.org.au/en_AU
dc.identifier.doihttp://www.cwwt.unsw.edu.au/ywp2006/about.htmlen_AU
dc.identifier.urihttp://hdl.handle.net/10072/13320
dc.description.abstractIn order to effectively manage and treat wastewater, it is important to constantly monitor the oxygen demand levels, so that remediation process can be implemented immediately if problems are found. To enable constant monitoring of oxygen demand levels, a simple and effective method based on the mathematical treatment of spectral absorbance patterns, using artificial neural networks (ANNs) is demonstrated fro rapidly estimating biochemical oxygen demand (BOD) and chemical oxygen demand (COD) values of wastewater samples. The method involves recording spectrum absorbance patterns from 190 to 350 nm and processing the patterns obtained using an ANN to indirectly estimate BOD and COD values. The results indicated that in most cases the proposed technique (UV-ANN) worked well, as UV-ANN derived BOD and COD values were very close to those estimated using the standard BOD and COD methods. The UV-ANN derived values also followed the trends of the standard methods closely, which make them ideal for real-time, on-line process control of wastewater effluents, as problems such as exceeding critical limits could be identified easily.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherUNSW, Sydneyen_US
dc.publisher.placeSydney, Australiaen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename1st Australian Young Water Professionals Conferenceen_US
dc.relation.ispartofconferencetitleProceedings of the 1st Australian Young Water Professionals Conferenceen_US
dc.relation.ispartofdatefrom2006-02-15en_US
dc.relation.ispartofdateto2006-02-17en_US
dc.relation.ispartoflocationSydney, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode250408en_US
dc.subject.fieldofresearchcode280212en_US
dc.titleEstimation of oxygen demand levels using UV-Vis spectroscopy and artificial neural networks as an effective tool for real-time, wastewater treatment controlen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Environmenten_US
gro.date.issued2006
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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