A two-site chlorine decay model for the combined effects of pH, water distribution temperature and in-home heating profiles using differential evolution.
A general framework for modeling the bulk chlorine decay that accommodates effects of pH, temperature in water distribution system and in-home heating profiles is developed. With a single set of readily interpreted parameters, and various fictive concentrations of reactive constituents in the water, chlorine decay for the different water systems could be simultaneously modeled. Differential Evolution is employed to estimate the parameters stochastically. By using Bayesian Information Criterion, it is shown that a model consisting of two reactive species is preferred over models that consist of one or three reactive species. The flexibility and power of the framework is demonstrated with a case study of both types of effects.
Department of Civil and Environmental Engineering, University of Massachusetts Amherst, MA 01003, USA. Electronic address: boning.liu@gmail.com.
Boning
B
Liu
Department of Civil and Environmental Engineering, University of Massachusetts Amherst, MA 01003, USA. Electronic address: reckhow@ecs.umass.edu.
David A
DA
Reckhow
Standard & Poor's, New York, NY 10041, USA. Electronic address: yunli@tepper.cmu.edu.
Yun
Y
Li
D001499:Bayes Theorem; D002713:Chlorine / Q000737:chemistry*; D054879:Halogenation; D006361:Heating; D006863:Hydrogen-Ion Concentration; D007700:Kinetics; D008962:Models, Theoretical; D013696:Temperature; D014867:Water / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000737:chemistry*; D018508:Water Purification
D014874:Water Pollutants, Chemical; D014867:Water; D002713:Chlorine
Chlorine decay; Differential evolution; Heating; Mechanistic modeling