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RECORD NUMBER: 7 OF 10

Main Title National Critical Loads Framework for Atmospheric Deposition Effects Assessment: III. Deposition Characterization.
Author Hicks, B. ; McMillen, R. ; Turner, R. S. ; Holdren, G. R. ; Strickland, T. C. ;
CORP Author Corvallis Environmental Research Lab., OR. ;Oak Ridge National Lab., TN. ;National Oceanic and Atmospheric Administration, Rockville, MD.
Publisher c1993
Year Published 1993
Report Number EPA/600/J-93/243;
Stock Number PB93-212504
Additional Subjects Air pollution ; Deposition ; Environmental impact assessments ; Atmospheric composition ; Wet methods ; Dry methods ; Regional analysis ; Chemical compounds ; Ecosystems ; Precipitation(Meteorology) ; Throughfall ; Reprints ; Critical loads
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NTIS  PB93-212504 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 12p
Abstract
Methods are discussed for describing patterns of current wet and dry deposition under various scenarios. It is proposed that total deposition data across an area of interest are the most relevant in the context of critical loads of acidic deposition, and that the total deposition will vary greatly with the location, the season, and the characteristics of individual subregions. Wet and dry deposition are proposed to differ in such fundamental ways that they must be considered separately. Both wet and dry deposition rates are controlled by the presence of the chemical species in question in the air. The great differences in the processes involved lead to the conclusion that it is better to measure wet and dry deposition separately and combine these quantifications to produce 'total deposition' estimates than to attempt to derive total deposition directly. A number of options for making estimates of total deposition to be used in critical loads assessment scenarios are discussed for wet deposition (buckets and source receptor models) and for dry deposition (throughfall, micrometeorology, surrogate surfaces and collection vessels, inference from concentrations, dry-wet ratios, and source-receptor models). (Copyright (c) 1993 Springer-Veriag New York Inc.)