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RECORD NUMBER: 67 OF 192

OLS Field Name OLS Field Data
Main Title Estimating the Transfer and Deposition of Dioxin and Atrazine to the Great Lakes Basin with the NOAA HYSPLIT Model: An Overview.
Author McDonald, J. F. ; Cohen, M. ; Meyer, D. ; Mathewson, L. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Silver Spring, MD. Air Resources Lab. ;International Joint Commission-United States and Canada, Windsor (Ontario). Great Lakes Regional Office. ;Ontario Ministry of Natural Resources, Peterborough (Ontario). Provincial Geomatics Service Center.
Publisher 2000
Year Published 2000
Report Number EPA/600/A-00/033;
Stock Number PB2000-107428
Additional Subjects Toxic substances ; Great Lakes ; Air pollution emissions ; Outputs ; Graphs(Charts) ; Transfer models ; Dioxin ; Atrazine ; Model evaluations ; Source receptors ; Deposition ; HYSPLIT models
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2000-107428 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 11/07/2000
Collation 32p
Abstract
Over the last few years, the International Joint Commission has been supporting development of a PC based transfer model, derived from the HYSPLIT model created at the National Oceanic and Atmospheric Administration (NOAA), to determine, in a cost effective way, the extent of deposition of selected persistent toxic substances to the Great Lakes from U.S. and Canadian sources and source regions. Outputs for dioxin and atrazine will be described, quantifying the percentage of emissions of these substances from specific point and county level sources which would be deposited in Lake Superior. For the sake of brevity, these data are presented as an example of determinations available for all the other Great Lakes. The impact of specific sources and source categories will be considered. The authors believe this technology will prove useful as a tool in developing a strategy for further control of these sources.