This paper discusses a series of statistically-based empirical models for use in predicting a disinfection byproduct (bromate) formed during ozonation. The models were created and calibrated from a database derived from full-scale assessment of three different surface waters. The bromate models permit predictions based on water quality conditions such as dissolved organic carbon (DOC), bromide ion concentration, pH, alkalinity and temperature, and on treatment conditions reflected by transferred ozone dose and contact time. The models developed through this work can be used by utilities in assessing how both water quality and treatment conditions affect bromate ion formation during ozonation in water treatment plants.
| File Size : | 1
file |
| ISBN(s) : | 0898679583 |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 19 |
| Published : | 01/01/1997 |
