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http://dx.doi.org/10.11001/jksww.2019.33.1.017

Development of prediction models of chlorine bulk decay coefficient by rechlorination in water distribution network  

Jeong, Bobae (Department of Environmental Engineering, University of Seoul)
Kim, Kibum (Department of Environmental Engineering, University of Seoul)
Seo, Jeewon (Department of Environmental Engineering, University of Seoul)
Koo, Jayong (Department of Environmental Engineering, University of Seoul)
Publication Information
Journal of Korean Society of Water and Wastewater / v.33, no.1, 2019 , pp. 17-29 More about this Journal
Abstract
This study developed prediction models of chlorine bulk decay coefficient by each condition of water quality, measuring chlorine bulk decay coefficients of the water and water quality by water purification processes. The second-reaction order of chlorine were selected as the optimal reaction order of research area because the decay of chlorine was best represented. Chlorine bulk decay coefficients of the water in conventional processes, advanced processes before rechlorination was respectively $5.9072(mg/L)^{-1}d^{-1}$ and $3.3974(mg/L)^{-1}d^{-1}$, and $1.2522(mg/L)^{-1}d^{-1}$ and $1.1998(mg/L)^{-1}d^{-1}$ after rechlorination. As a result, the reduction of organic material concentration during the retention time has greatly changed the chlorine bulk decay coefficient. All the coefficients of determination were higher than 0.8 in the developed models of the chlorine bulk decay coefficient, considering the drawn chlorine bulk decay coefficient and several parameters of water quality and statistically significant. Thus, it was judged that models that could express the actual values, properly were developed. In the meantime, the chlorine bulk decay coefficient was in proportion to the initial residual chlorine concentration and the concentration of rechlorination; however, it may greatly vary depending on rechlorination. Thus, it is judged that it is necessary to set a plan for the management of residual chlorine concentration after experimentally assessing this change, utilizing the methodology proposed in this study in the actual fields. The prediction models in this study would simulate the reduction of residual chlorine concentration according to the conditions of the operation of water purification plants and the introduction of rechlorination facilities, more reasonably considering water purification process and the time of chlorination. In addition, utilizing the prediction models, the reduction of residual chlorine concentration in the supply areas can be predicted, and it is judged that this can be utilized in setting plans for the management of residual chlorine concentration.
Keywords
Chlorine bulk decay coefficient; Rechlorination; Residual chlorine concentration; Water purification processes; Water quality;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Ahn, J.C., Park, C.M. and Koo, J.Y. (2005) Modeling and application of chlorine bulk decay in drinking water distribution system, J. Korean Soc. Water and Wastewater, 19(4), 487-496.
2 Al-Heboos, S. and Licsko, I. (2017), Application and comparison of two chlorine decay models for predicting bulk chlorine residuals, Period. Polytech. Civ. Eng., 61(1), 7-13.
3 Dominguez-Tello, A., Arias-Borrego, A., Garcia-Barrera, T., and Gomez-Ariza, J.L., (2015). Seasonal and spatial evolution of trihalomethanes in a drinking water distribution system according to the treatment process, Environ. Monit. Assess., 187(11), 662.   DOI
4 Hallam, N.B., Hua, F., West, J.R., Forster, C.F., and Simms, J. (2003). Bulk decay of chlorine in water distribution systems, J. Water Resour. Plann. Manage., 129(1), 78-81.   DOI
5 Koo, Y.H., (2004). Characterization of water quality variation in a water distribution system : Focused on residual chlorine and THMs, Ph.D dissertation, University of Seoul, Seoul, Korea, 210.
6 Lee, D.J., Lee, J.M., Kim, J.H., Kim, J.H, Bae, C.H. and U, H.M., (2006). "Prediction of chlorine and THM in water distribution system", Proceedings of Korean Society of Environmental Engineers Conference, 27-29 April, 2006, Ilsan, Korea, Korean Society of Environmental Engineers.
7 Powell, J.C., Hallam, N.B., West, J.R., Forster, C.F., and Simms, J. (2000). Factors which control bulk chlorine decay rates, Water Res., 34(1), 117-126.   DOI
8 Rossman, L.A., Clark, R.M., and Grayman, W.M. (1994). Modeling chlorine residuals in drinking-water distribution systems, J. Environ. Eng., 120(4), 803-820.   DOI
9 Vasconcelos, J.J., Boulos, P.F., Grayman, W.M., Kiene, L., Wable, O., Biswas, P., Bhari, A., Rossman, L.A., Clark, R.M. and Goodrich, J.A., AWWARF(American water works association research foundation). (1996). Characterization and modeling of chlorine decay in distribution systems (ISBN: 0-89867-870-6), 402.