Henry RCSpiegelman CHCollins JFPark EProceedings of the National Academy of Sciences of the United States of America2010-02-152010-02-151997 Jun 2http://hdl.handle.net/1969.3/236226596-6599Regulatory agencies and photochemical models of ozone rely on self reported industrial emission rates of organic gases, Incorrect self-reported emissions can severely impact ore air quality models and regulatory decisions, We compared self-reported emissions of organic gases in Houston, Texas, to measurements at a receptor site near the Houston ship channel, a major petrochemical complex, We analyzed hourly observations of total nonmethane organic carbon and 54 hydrocarbon compounds from C-2 to C-9 for the period June through November, 1993, We were able to demonstrate severe inconsistencies between reported emissions and major sources as derived from the data using a multivariate receptor model, The composition and the location of the sources as deduced from the data are not consistent with the reported industrial emissions, On the other hand, our observationally based methods did correctly identify the location and composition of a relatively small nearby chemical plant. This paper provides strong empirical evidence that regulatory agencies and photochemical models are making predictions based an inaccurate industrial emissionsAIRair qualityCARBONDECISIONEMISSIONSHoustonHouston Ship ChannelHYDROCARBONIMPACTindustrialMODELorganic carbonORGANIC-CARBONozonePLANTpredictionRATESTEXASJournal