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HYBRID RECEPTOR MODELS
Citation:
Lewis, C. AND R. Stevens. HYBRID RECEPTOR MODELS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/D-87/019 (NTIS PB87146254), 1987.
Description:
A hybrid receptor model is a specified mathematical procedure which uses not only the ambient species concentration measurements that form the input data for a pure receptor model, but in addition source emission rates or atmospheric dispersion or transformation information characteristic of dispersion models. By utilizing more information, hybrid receptor modeling promises improved source apportionment estimates or, more fundamentally, consideration of problems that are inaccessible in terms of classical receptor modeling. Several examples of hybrid receptor models are reviewed, emphasizing the great variety in possible approaches, and in the choice of input versus output quantities. A simple illustration is given of a hybrid receptor model applied to the comprehensive ambient-source-meteorological data base collected at Deep Creek Lake, Maryland, during summer 1983.