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U.S. Department of Energy
Office of Scientific and Technical Information

Hybrid receptor models

Technical Report ·
OSTI ID:6724726
A hybrid-receptor model is a specified mathematical procedure that 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.
Research Organization:
Environmental Protection Agency, Research Triangle Park, NC (USA). Atmospheric Sciences Research Lab.
OSTI ID:
6724726
Report Number(s):
PB-87-146254/XAB; EPA-600/D-87/019
Country of Publication:
United States
Language:
English

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