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Developing a model for disinfection by-products based on multiple regression analysis in a water distribution system

2005; UWA Publishing; Volume: 54; Issue: 4 Linguagem: Inglês

10.2166/aqua.2005.0021

1365-2087

Haruki Shimazu, M. Kouchi, Y. Sugita, Yoshiharu Yonekura, Hiroaki Kumano, K. Hashiwata, Taku Hirota, Noriatsu Ozaki, Takehiko Fukushima,

Water Systems and Optimization

Research Article| June 01 2005 Developing a model for disinfection by-products based on multiple regression analysis in a water distribution system H. Shimazu; H. Shimazu 1School of Science & Engineering, Kinki University, 3-4-1 Kowakae, Higashiosaka-shi, 577-8502, Japan Tel: +81-6-6730-5880(Ext.4275) Fax: +81-6-6730-1320; E-mail: hshimazu@civileng.kindai.ac.jp Search for other works by this author on: This Site PubMed Google Scholar M. Kouchi; M. Kouchi 2Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi739-1732, Japan Search for other works by this author on: This Site PubMed Google Scholar Y. Sugita; Y. Sugita 2Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi739-1732, Japan Search for other works by this author on: This Site PubMed Google Scholar Y. Yonekura; Y. Yonekura 2Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi739-1732, Japan Search for other works by this author on: This Site PubMed Google Scholar H. Kumano; H. Kumano 2Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi739-1732, Japan Search for other works by this author on: This Site PubMed Google Scholar K. Hashiwata; K. Hashiwata 2Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi739-1732, Japan Search for other works by this author on: This Site PubMed Google Scholar T. Hirota; T. Hirota 2Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi739-1732, Japan Search for other works by this author on: This Site PubMed Google Scholar N. Ozaki; N. Ozaki 3Faculty of Engineering, University of Hiroshima, 1-4-1 Kagamiyama, Higashihiroshima-shi739-8527, Japan Search for other works by this author on: This Site PubMed Google Scholar T. Fukushima T. Fukushima 4Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba-shi, 305-8572, Japan Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2005) 54 (4): 225–237. https://doi.org/10.2166/aqua.2005.0021 Article history Received: August 21 2004 Accepted: January 26 2005 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 nav search search input Search input auto suggest search filter All ContentAll JournalsThis Journal Search Advanced Search Citation H. Shimazu, M. Kouchi, Y. Sugita, Y. Yonekura, H. Kumano, K. Hashiwata, T. Hirota, N. Ozaki, T. Fukushima; Developing a model for disinfection by-products based on multiple regression analysis in a water distribution system. Journal of Water Supply: Research and Technology-Aqua 1 June 2005; 54 (4): 225–237. doi: https://doi.org/10.2166/aqua.2005.0021 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex The characteristics of disinfection by-product (DBP) formation in the distribution system of Hiroshima City were investigated. Then a model was developed for predicting DBPs based on multiple regression analysis. Potassium permanganate consumption value (KMnO4), free chlorine residual concentration (Cl2), pH, water temperature (WT) and residence time (RT) were confirmed to have an influence on DBP formation in the distribution system and used as independent variables.The correlation coefficients between the logarithmic values of the predicted DBPs and those of the observed DBPs were higher than 0.7. In addition, the seasonal change patterns of the predicted DBPs were very similar to those observed in some DBPs. The model is helpful for managing the DBPs in water distribution systems. DBP quality modelling, disinfection by-products (DBPs), water distribution system This content is only available as a PDF. © IWA Publishing 2005 You do not currently have access to this content.