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Beverages 2015, 1(4), 225-247; doi:10.3390/beverages1040225

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

1,†
,
1,†
,
1,†
,
2,†
,
2,†
,
1,3,†,* and 1,3,†,*
1
Department of Chemistry, The University of Memphis, Rm 213 Smith Chemistry Bldg., Memphis, TN 38152, USA
2
The City of Lebanon, TN Water Treatment Plant, 7 Gilmore Hill Road, Lebanon, TN 37087, USA
3
Foundation Instruments, Inc., Collierville, TN 38017, USA
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Academic Editor: Abua Ikem
Received: 5 June 2015 / Revised: 27 August 2015 / Accepted: 12 September 2015 / Published: 5 October 2015
(This article belongs to the Special Issue Water)
View Full-Text   |   Download PDF [2822 KB, uploaded 5 October 2015]   |  

Abstract

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. View Full-Text
Keywords: disinfection by-products; trihalomethanes; on-line monitoring; process control; empirical models disinfection by-products; trihalomethanes; on-line monitoring; process control; empirical models
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Watts III, T.E.; Snow, R.A.; Brown, A.W.; York, J.C.; Fantom, G.; Simone Jr., P.S.; Emmert, G.L. Using Automated On-Site Monitoring to Calibrate Empirical Models of Trihalomethanes Concentrations in Drinking Water. Beverages 2015, 1, 225-247.

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