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Optimizing Time Intervals of Meteorological Data Used with Atmospheric Dose Modeling at SRS

Journal Article · · Health Physics Journal
OSTI ID:12509
Measured tritium oxide concentrations in air have been compared with calculated values using routine release Gaussian plume models for different time intervals of meteorological data. These comparisons determined an optimum time interval of meteorological data used with atmospheric dose models at the Savannah River Site (SRS). Meteorological data of varying time intervals (1-yr to 10-yr) were used for the comparison. Insignificant differences are seen in using a one-year database as opposed to a five-year database. Use of a ten-year database results in slightly more conservative results. For meteorological databases of length one to five years the mean ratio of predicted to measured tritium oxide concentrations is approximately 1.25 whereas for the ten-year meteorological database the ration is closer to 1.35. Currently at the Savannah River Site a meteorological database of five years duration is used for all dose models. This study suggests no substantially improved accuracy using meteorological files of shorter or longer time intervals.
Research Organization:
Savannah River Site (US)
Sponsoring Organization:
US Department of Energy (US)
DOE Contract Number:
AC09-96SR18500
OSTI ID:
12509
Report Number(s):
WSRC-MS-99-00584
Journal Information:
Health Physics Journal, Journal Name: Health Physics Journal
Country of Publication:
United States
Language:
English