| Autor: |
Anderson, Paul D.1, Daco, Vincent J.2 vdaco@qmg-inc.com, Shanahan, Peter3, Chapra, Steven C.4, Buzby, Mary E.5, Cunningham, Virginia L.6, Duplessie, Beth M.1, Hayes, Eileen P.7, Mastrocco, Frank J.8, Parke, Neil J.9, Rader, John C.1, Samuelian, John H.10, Schwab, Bradley W.1 |
| Předmět: |
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| Zdroj: |
Environmental Science & Technology. 2/1/2004, Vol. 38 Issue 3, p838-849. 12p. |
| Abstrakt: |
The PhATE (Pharmaceutical Assessment and Transport Evaluation) model presented in this paper was developed as a tool to estimate concentrations of active pharmaceutical ingredients (APIs) in U.S. surface waters that result from patient use (or consumption) of medicines. PhATE uses a mass balance approach to model predicted environmental concentrations (PECs) in 11 watersheds selected to be representative of most hydrologic regions of the United States. The model divides rivers into discrete segments. It estimates the mass of API that enters a segment from upstream or from publicly owned treatment works (POTW) and is subsequently lost from the segment via in-stream loss mechanisms or flow diversions (i.e., manmade withdrawals). POTW discharge loads are estimated based on the population served, the API use per capita, the potential loss of the compound associated with human use (e.g., metabolism), and the portion of the API mass removed in the POTW. Simulations using three surrogate compounds show that PECs generated by PhATE are generally within an order of magnitude of measured concentrations and that the cumulative probability distribution of PECs for all watersheds included in PhATE is consistent with the nationwide distribution of measured concentrations of the surrogate compounds. Model simulations for 11 APIs yielded four categories of results. (1) PECs fit measured data for two compounds. (2) PECs are below analytical method detection limits and thus are consistent with measured data for three compounds. (3) PECs are higher than (i.e., not consistent with) measured data for three compounds. However, this may be the consequence of as yet unidentified depletion mechanisms. (4) PECs are several orders of magnitude below some measured data but consistent with most measured data for three compounds. [ABSTRACT FROM AUTHOR] |
| Databáze: |
GreenFILE |
| Externí odkaz: |
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