Using Automated On-Site Monitoring to Calibrate Empirical Models of Trihalomethanes Concentrations in Drinking Water
| Autor: | Robyn A. Snow, J. C. York, Greg Fantom, Paul S. Simone, Gary L. Emmert, Thomas E. Watts Iii, Aaron W. Brown |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Powdered activated carbon treatment
trihalomethanes disinfection by-products Model prediction Environmental engineering Empirical modelling lcsh:TX341-641 process control Site monitoring on-line monitoring lcsh:Nutritional diseases. Deficiency diseases Calibration Environmental science Water treatment empirical models Water quality lcsh:Nutrition. Foods and food supply lcsh:RC620-627 Food Science |
| Zdroj: | Beverages, Vol 1, Iss 4, Pp 225-247 (2015) Beverages Volume 1 Issue 4 Pages 225-247 |
| ISSN: | 2306-5710 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|