The purpose of this paper was to show how optimizing the use of multiple source waters
can reduce natural organic matter (NOM) and disinfection byproduct (DBP) levels. The New
York City water supply is presented as a case study. Data from an ongoing reservoir sampling program was used in conjunction with the New York
City OASIS model to evaluate the potential reduction in DBP precursors that could be achieved
by optimizing reservoir operations. For this evaluation, the NYC OASIS model was
programmed to represent current operations of the NYC reservoir system and was used to
evaluate alternative reservoir withdrawal patterns. Time series data of predicted Kensico DOC and the resulting percent reduction for each modified
operations scenario relative to the baseline for a 20-yr portion (1983-2003) of the simulation
period demonstrate that in some years, modified operations result in substantial reductions in
predicted DOC (nearly 10%), while in other years minimal or no reductions are observed. Includes figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 1.5 MB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 8 |
| Published : | 11/01/2009 |
