Abstract

Research Article| June 01 2009 Development and implementation of the software mEnCo© to predict coagulant doses for DOC removal at full-scale WTPs in South Australia J. van Leeuwen; J. van Leeuwen 1University of South Australia, Centre for Water Management and Reuse, School of Natural and Built Environments, H-Building Level 3, Mawson Lakes Campus, Adelaide South Australia, Australia E-mail: john.vanleeuwen@unisa.edu.au Search for other works by this author on: This Site PubMed Google Scholar M. Holmes; M. Holmes 2United Water International, GPO Box 1875, Adelaide 5501, SA, Australia Search for other works by this author on: This Site PubMed Google Scholar U. Kaeding; U. Kaeding 2United Water International, GPO Box 1875, Adelaide 5501, SA, Australia Search for other works by this author on: This Site PubMed Google Scholar R. Daly; R. Daly 3Australian Water Quality Centre, SA Water, Hodgson Road, Bolivar 5110, SA, Australia Search for other works by this author on: This Site PubMed Google Scholar D. Bursill D. Bursill 1University of South Australia, Centre for Water Management and Reuse, School of Natural and Built Environments, H-Building Level 3, Mawson Lakes Campus, Adelaide South Australia, Australia Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2009) 58 (4): 291–298. https://doi.org/10.2166/aqua.2009.054 Article history Received: June 18 2008 Accepted: October 21 2008 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation J. van Leeuwen, M. Holmes, U. Kaeding, R. Daly, D. Bursill; Development and implementation of the software mEnCo© to predict coagulant doses for DOC removal at full-scale WTPs in South Australia. Journal of Water Supply: Research and Technology-Aqua 1 June 2009; 58 (4): 291–298. doi: https://doi.org/10.2166/aqua.2009.054 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Conventional surface water treatment plants (WTPs) rely on optimised coagulation for effective clarification, filtration and chlorination performance. WTPs operated at sub-optimal coagulation conditions are at risk from failing treated water microbial, disinfection by-product, chemical and aesthetic quality goals as well as incurring excessive sludge production and treatment cost. This is especially important when treating water that contains a high concentration of natural organic matter (NOM). Removal of NOM by coagulation can be enhanced by optimising the inorganic coagulant dose and coagulation pH. This paper describes the development and implementation of a software model mEnCo© (referring to modelling enhanced coagulation) that enables WTP operators to rapidly determine coagulation chemicals. Implementation was carried out in a four-stage process comprising model evaluation by (1) jar tests and pilot-scale studies, (2) comparison of mEnCo© predictions with historical water quality and coagulant dose trends at Adelaide metropolitan WTPs, (3) parallel studies where mEnCo© predictions were compared with the usual methods applied by operators for chemical dose determination and (4) application of mEnCo© for dose determination and review. United Water International (UWI) began using mEnCo© in July 2003 for prediction of chemical doses for coagulation control and have used the model from July 2004 to adjust coagulant doses. coagulation, DOC, model, optimization, software, water treatment This content is only available as a PDF. © IWA Publishing 2009 You do not currently have access to this content.

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