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RECORD NUMBER: 14 OF 22

OLS Field Name OLS Field Data
Main Title Role of Grid-Based, Reactive Air Quality Modeling in Policy Analysis: Perspectives and Implications, as Drawn from a Case Study.
Author Roth, P. M. ; Blanchard, C. E. ; Reynolds, S. D. ;
CORP Author Princeton Univ., NJ. Center for Energy and Environmental Studies. ;Systems Applications, Inc., San Rafael, CA.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher Mar 90
Year Published 1990
Report Number EPA-68-01-6849; EPA/600/3-89/082;
Stock Number PB90-187204
Additional Subjects Mathematical models ; Air pollution ; Performance evaluation ; Photochemical reactions ; Trends ; Comparison ; Error analysis ; Graphs(Charts) ; Concentration(Composition) ; Air quality ; Urban Airshed Model ; Regional Acid Deposition Model ; Environmental transport ; Atmospheric chemistry ; Comprehensive planning ; Environmental policy
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB90-187204 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/15/1990
Collation 115p
Abstract
A primary objective of the study is to improve the understanding of the role of performance quality in determining a model's acceptability and usefulness to the policy maker, and thus to aid in developing soundly-based expectations of the modeling process. The vehicle for pursuing this objective is examining the historical evolution of the Urban Airshed Model (UAM), a grid-based photochemical model whose basic formulation is similar to the Regional Acid Deposition Model, and its application to policy analysis in the South Coast Air Basin of California. A derivative objective is to draw implications from the findings to aid in appraising the merits of future pursuits, notably the mounting of comprehensive field programs to support the evaluation of regional acid deposition models. The report describes the UAM, examines its predictive capability through scrutiny of historical performance statistics, assesses its degree of acceptance in the scientific and regulatory communities, based on information and viewpoints solicited through questionnaires and interviews, examines the influence on the policy-making community of the UAM studies and, based on these 'findings', attempts to develop a perspective on the expectations of current regional acid deposition models.