Browse > Article
http://dx.doi.org/10.11001/jksww.2018.32.2.107

Simulation of chlorine decay by waterhammer in water distribution system based on hypothetical water demand curve  

Baek, Dawon (Department of Environmental Engineering, Pusan National University)
Kim, Hyunjun (Department of Environmental Engineering, Pusan National University)
Kim, Sanghyun (Department of Environmental Engineering, Pusan National University)
Publication Information
Journal of Korean Society of Water and Wastewater / v.32, no.2, 2018 , pp. 107-113 More about this Journal
Abstract
Maintaining adequate residual chlorine concentration is an important criteria to provide secure drinking water. The chlorine decay can be influenced by unstable flow due to the transient event caused by operation of hydraulic devices in the pipeline system. In order to understand the relationship between the transient event and the chlorine decay, the probability density function based on the water demand curve of a hypothetical water distribution system was used. The irregular transient events and the same number of events with regular interval were assumed and the fate of chlorine decay was compared. The chlorine decay was modeled using a generic chlorine decay model with optimized parameters to minimize the root mean square error between the experimental chlorine concentration and the simulated chlorine concentration using genetic algorithm. As a result, the chlorine decay can be determined through the number of transients regardless of the occurrence intervals.
Keywords
Chlorine decay; Genetic algorithm (GA); Hypothetical water demand curve; Probability density function (PDF); Water hammer;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Abokifa, A.A., Yang, Y.J., Lo, C.S. and Biswas, P. (2016). Water quality modeling in the dead end sections of drinking water distribution, Water Res., 89, 107-117.   DOI
2 Biwas, P., Clark, R.M. (1993). A model for chlorine concentration decay in pipes, Water Res., 27, 1712-1724.
3 Clark, R.M. (1998). Chlorine demand and TTHM formation kinetics: a second-order model, J. Environ. Eng., 124(1), 16-24.   DOI
4 Goyal R.V, Patel, H.M. (2015). Analysis of residual chlorine in simple drinking water distribution system with intermittent water supply, Appl. Water Sci., 5(3), 311-319.   DOI
5 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), 78-82.   DOI
6 Kiene, L., Lu, W. and Levi, Y. (1998). Relative importance of the phenomena responsible for chlorine decay in drinking water distribution systems, Water Sci. Technol., 38, 219-227.
7 Kim, H., Kim, S. (2017). Evaluation of chlorine decay models under transient conditions in a water distribution system, J. Hydroinf., 19, 522-537.   DOI
8 Kim, H., Koo, J. and Kim, S. (2015). A general framework of chlorine decay modeling at a pilot-scale water distribution system, J. Water Supply: Res. Technol., 64(5), 543-557.   DOI
9 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
10 Ramos, H.M., Loureiro, D., Lopes, A., Fernandes, C., Covas, D., Reis, F. and Cunha, M.C. (2010). Evaluation of chlorine decay in drinking water systems for different flow conditions: from theory to practice, Water Res. Manage., 24(4), 815-834.   DOI
11 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
12 Termini, D., Viviani, G. (2015). Spatial diversity of chlorine residual in a drinking water distribution system: application of an integrated fuzzy logic technique, J. Hydroinform., 17, 293-306.   DOI