title: [Developing a statistical conceptual model for pre-chlorination process in waterworks].
abstract: 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.
authors.affiliation: Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China.
authors.forename: Fu
authors.initials: F
authors.lastname: Sun
authors.forename: Ji-ning
authors.initials: JN
authors.lastname: Chen
authors.forename: Qing-yuan
authors.initials: QY
authors.lastname: Tong
authors.forename: Si-yu
authors.initials: SY
authors.lastname: Zeng
mesh_terms: D017606:Chlorine Compounds / Q000032:analysis; D004202:Disinfectants / Q000032:analysis; D015233:Models, Statistical; D018508:Water Purification / Q000379:methods*; D014881:Water Supply / Q000032:analysis*
chemical_list: D017606:Chlorine Compounds; D004202:Disinfectants