Beverages | |
Using Automated On-Site Monitoring to Calibrate Empirical Models of Trihalomethanes Concentrations in Drinking Water | |
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.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202003190005315ZK.pdf | 2822KB | download |