Record Display for the EPA National Library Catalog


Main Title National Critical Loads Framework for Atmospheric Deposition Effects Assessment: I. Method Summary.
Author Strickland, T. C. ; Holdren, G. R. ; Ringold, P. L. ; Bernard, D. ; Smythe, K. ;
CORP Author Corvallis Environmental Research Lab., OR. ;Environmental and Social Systems Analysts Ltd., Vancouver (British Columbia). ;Science and Policy Associates, Inc., Washington, DC. ;Battelle Columbus Div., Washington, DC.
Publisher c1993
Year Published 1993
Report Number EPA/600/J-93/241;
Stock Number PB93-212488
Additional Subjects Air pollution ; Ecosystems ; Deposition ; Atmospheric composition ; Environmental impact assessments ; Regional analysis ; US EPA ; Study estimates ; Comparison ; Natural resources ; Environmental transport ; Reprints ; Critical loads
Library Call Number Additional Info Location Last
NTIS  PB93-212488 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 12p
The United States Environmental Protection Agency (EPA), with the assistance of the US Department of Energy (DOE) and the National Oceanographic and Atmospheric Admn (NOAA) is examining the utility of a critical loads approach for evaluating atmospheric pollutant effects on sensitive ecosystems. The framework is based on regional population characteristics of the ecosystem(s) of concern. The six steps of the approach are: (1) selection of ecosystem components, indicators, and characterization of the resource; (2) definition of functional subregions; (3) characterization of deposition within each of the subregions; (4) definition of an assessment end point; (5) selection and application of models; and (6) mapping projected ecosystem responses. Specific recognition of data and model uncertainties is an integral part of the process, and the use of multiple models to obtain ranges of critical loads estimates for each ecosystem component in a region is encouraged. Through this intercomparison process uncertainties in critical loads projections can be estimated.