NDLI: Evaluation of the Houston ozone modeling emissions inventory via inverse modeling with sensitivity coefficients from the decoupled direct method (DDM)

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Evaluation of the Houston ozone modeling emissions inventory via inverse modeling with sensitivity coefficients from the decoupled direct method (DDM)

Content Provider	Semantic Scholar
Author	Stoeckenius, Till E.
Copyright Year	2005
Abstract	Ground-level ozone concentrations in and around Houston, Texas frequently exceed health-based standard levels set by the U.S. Environmental Protection Agency. The Houston-Galveston Area (HGA) has been declared to be in non-attainment of the old (1-hour) and new (8-hour) ozone standards. Development of an effective air quality management plan for ozone in the HGA is critically dependent on photochemical modeling results. The Texas Commission on Environmental Quality (TCEQ) is using the Comprehensive Air Quality Model with extensions (CAMx; ENVIRON, 2002) in developing the State Implementation Plan (SIP) for the HGA (TCEQ, 2003a). Uncertainties in emission inventories represent a major source of uncertainty in any photochemical modeling study. Analyses of data collected in the TexAQS 2000 field study raised concerns that VOC emissions from very large industrial sources in the HGA are under-represented in the SIP emission inventories (Daum et al., 2002). This conclusion was based on the interpretation of extensive ambient measurements of ozone and precursors, and is consistent with tendencies for photochemical models to under-predict ozone levels in the areas close to and downwind of HGA industrial point source complexes, e.g., around the Houston Ship Channel and Galveston Bay (TCEQ, 2003b). The ozone control plan developed for the HGA SIP may be less effective than expected if the photochemical models are missing substantial ozone production from industrial point source emissions.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://ams.confex.com/ams/pdfpapers/91045.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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