Development of a full-scale artificial neural network model for the removal of natural organic matter by enhanced coagulation

Research Article| June 01 1999 Development of a full-scale artificial neural network model for the removal of natural organic matter by enhanced coagulation C. W. Baxter; C. W. Baxter Search for other works by this author on: This Site PubMed Google Scholar S. J. Stanley; S. J. Stanley Search for other works by this author on: This Site PubMed Google Scholar Q. Zhang Q. Zhang Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (1999) 48 (4): 129–136. https://doi.org/10.2166/aqua.1999.0013 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Twitter LinkedIn 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 C. W. Baxter, S. J. Stanley, Q. Zhang; Development of a full-scale artificial neural network model for the removal of natural organic matter by enhanced coagulation. Journal of Water Supply: Research and Technology-Aqua 1 June 1999; 48 (4): 129–136. doi: https://doi.org/10.2166/aqua.1999.0013 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Described is the development of a full-scale artificial neural network (ANN) model for the removal of natural organic matter (NOM) by enhanced coagulation at the Rossdale Water Treatment Plant (WTP) in Edmonton, Alberta, Canada. Few attempts have been made to develop a full-scale model of the enhanced coagulation process due to extreme variability in the process parameters and the complex nonlinear relationships between them. When applied to previously unseen data, the model predicted effluent colour with a high degree of accuracy. The model will be incorporated into real-time process control at the WTP following a period of online testing. This content is only available as a PDF.