Using automated on-site monitoring to calibrate empirical models of trihalomethanes concentrations in drinking water
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.
Publication Title
Beverages
Recommended Citation
Watts, T., Snow, R., Brown, A., York, J., Fantom, G., Simone, P., & Emmert, G. (2015). Using automated on-site monitoring to calibrate empirical models of trihalomethanes concentrations in drinking water. Beverages, 1 (4), 225-247. https://doi.org/10.3390/beverages1040225
