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The purpose of this paper was to show how optimizing the use of multiple source waterscan reduce natural organic matter (NOM) and disinfection byproduct (DBP) levels. The NewYork City water supply is presented as a case study. Data from an ongoing reservoir sampling program was used in conjunction with the New YorkCity OASIS model to evaluate the potential reduction in DBP precursors that could be achievedby optimizing reservoir operations. For this evaluation, the NYC OASIS model wasprogrammed to represent current operations of the NYC reservoir system and was used toevaluate alternative reservoir withdrawal patterns. Time series data of predicted Kensico DOC and the resulting percent reduction for each modifiedoperations scenario relative to the baseline for a 20-yr portion (1983-2003) of the simulationperiod demonstrate that in some years, modified operations result in substantial reductions inpredicted DOC (nearly 10%), while in other years minimal or no reductions are observed. Includes figures.

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Edition: Vol. - No. Published: 11/01/2009 Number of Pages: 8File Size: 1 file , 1.5 MB