Using Automated On-Site Monitoring to Calibrate Empirical Models of Trihalomethanes Concentrations in Drinking Water

Beverages

Thomas E. Watts¹  Robyn A. Snow¹  Aaron W. Brown¹  J. C. York²  Greg Fantom²  Paul S. Simone¹  Gary L. Emmert¹ 

[1] Department of Chemistry, The University of Memphis, Rm 213 Smith Chemistry Bldg., Memphis, TN 38152, USA; E-Mails:;The City of Lebanon, TN Water Treatment Plant, 7 Gilmore Hill Road, Lebanon, TN 37087, USA; E-Mails:

关键词: disinfection by-products;    trihalomethanes;    on-line monitoring;    process control;    empirical models;   

DOI  :  10.3390/beverages1040225

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.