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Inferring Industrial VOC Emissions Inventories Based Upon VOC ObservationsMark Estes, John Jarvie, Doug Boyer, Jim Smith, Jim Price, Zhaohua Fang, and Sonia Wharton Observations of light alkenes collected during the TexAQS 2000 study in August-September 2000 suggested that the industrial emission inventories for these compounds were substantially underestimated. Hourly automated gas chromatography data, VOC canister data analyzed by gas chromatography and mass spectroscopy, and chemiluminescent alkene measurements were among the measurements used to infer emission rates. The ambient air samples were linked to possible emission sites by various methods, including dispersion modeling, trajectory analysis, and statistical analysis. Several methods have inferred emissions of generally the same magnitude. The inferred emissions were used in photochemical modeling simulations, and were found to improve the model performance. |