J Water SRT - Aqua 54 (2005) 225-237
Developing a model for disinfection by-products based on multiple regression analysis in a water distribution system
H. Shimazu, M. Kouchi, Y. Sugita, Y. Yonekura, H. Kumano, K. Hashiwata, T. Hirota, N. Ozaki and T. Fukushima
School 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
Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi, 739-1732, Japan
Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi, 739-1732, Japan
Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi, 739-1732, Japan
Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi, 739-1732, Japan
Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi, 739-1732, Japan
Water Quality Control Division, Hiroshima Waterworks Bureau, 6-1-1 Ochiaiminami, Asakita-ku, Hiroshima-shi, 739-1732, Japan
Faculty of Engineering, University of Hiroshima, 1-4-1 Kagamiyama, Higashihiroshima-shi, 739-8527, Japan
Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba-shi, 305-8572, Japan
ABSTRACT
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.
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