作者: Eric M. Fujita , John G. Watson , Judith C. Chow , Zhiqiang. Lu
DOI: 10.1021/ES00058A016
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摘要: The non-methane hydrocarbon (NMHC) data base acquired during the Southern California Air Quality Study (SCAQS) was used to assess performance of chemical mass balance (CMB) receptor model following CMB applications and validation protocol. As a prelude actual effective variance runs, initial source contribution estimates were made determine optimal combination profiles fitting species. Several different composition selected for major types effect alternative on overall performance. ambient NMHC also examined by less complex tracer bivariate regression methods gain additional insights about probable contributions, spatial temporal patterns emission sources, photochemical reactions various apportioned motor vehicle exhaust, liquid fuel, gasoline vapor, gas leaks, architectural industrial coatings, biogenic emissions. Attribution contributions among categories is highly sensitive abundance ethyne light olefins in exhaust profile, which varies with control technology maintenance operation. 51 refs., 2 figs., 9 tabs.