[Developing a statistical conceptual model for pre-chlorination process in waterworks].
Aiming at a method of risk analysis for drinking water treatment, a statistical conceptual model was developed to simulate the pre-chlorination process in waterworks, which involved the reactions among chlorine residuals, ammonia nitrogen, bromide and organic matter. The model was calibrated and verified with field data from a typical waterworks. The model could well predict the probability distribution of the concentration of permanganate index, ammonia nitrogen, chloroform, bromodichloromethane, chlorodibromomethane and bromoform in the pre-chlorination process.
Sun
Fu
F
Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China.
Chen
Ji-ning
JN
Tong
Qing-yuan
QY
Zeng
Si-yu
SY
D017606:Chlorine Compounds / Q000032:analysis; D004202:Disinfectants / Q000032:analysis; D015233:Models, Statistical; D018508:Water Purification / Q000379:methods*; D014881:Water Supply / Q000032:analysis*
D017606:Chlorine Compounds; D004202:Disinfectants