Using Automated On-Site Monitoring to Calibrate Empirical Models of Trihalomethanes Concentrations in Drinking Water
- Resource Type
- article
- Authors
- Thomas E. Watts III; Robyn A. Snow; Aaron W. Brown; J. C. York; Greg Fantom; Paul S. Simone Jr.; Gary L. Emmert
- Source
- Beverages, Vol 1, Iss 4, Pp 225-247 (2015)
- Subject
- disinfection by-products
trihalomethanes
on-line monitoring
process control
empirical models
Nutrition. Foods and food supply
TX341-641
Nutritional diseases. Deficiency diseases
RC620-627
- Language
- English
- ISSN
- 2306-5710
An automated, on-site trihalomethanes concentration data set from a conventional water treatment plant was used to optimize powdered activated carbon and pre-chlorination doses. The trihalomethanes concentration data set was used with commonly monitored water quality parameters to improve an empirical model of trihalomethanes formation. A calibrated model was used to predict trihalomethanes concentrations the following year. The agreement between the models and measurements was evaluated. The original model predicted trihalomethanes concentrations within ~10 μg·L−1 of the measurement. Calibration improved model prediction by a factor of three to five times better than the literature model.