Modeling ambient carbon monoxide trends to evaluate mobile source emissions reductions

Journal Article · Thu Oct 01 00:00:00 EDT 1987 · J. Appl. Meteorol.; (United States)

DOI:https://doi.org/10.1175/1520-0450(1987)026<1377:MACMTT>2.0.CO;2· OSTI ID:5842972

Dennis, R L; Downton, M W

Regression models have been used with poor success to detect the effect of emission control programs in ambient concentration measurements of carbon monoxide. An advanced CO regression model is developed whose form is based on an understanding of the physical processes of dispersion. Its performance is shown to be superior to the more traditionally developed regression and time series models. The model separates the effects of emissions change from the effects of fluctuations in meteorological conditions. The separation appears to be most reliable for winter conditions. The model has sufficient precision to identify present trends in emissions from ambient concentration data. This model should be useful for detecting changes in emission trends due to implementation of a control program on vehicular emissions such as an inspection and maintenance program.

• Research Organization: Atmospheric Science Research Laboratory, U.S. EPA, Research Triangle Park, NC 27711
• OSTI ID: 5842972
• Journal Information: J. Appl. Meteorol.; (United States), Vol. 26:10
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
CARBON MONOXIDE
AIR POLLUTION MONITORING
AIR POLLUTION CONTROL
ATMOSPHERIC CIRCULATION
METEOROLOGY
REGRESSION ANALYSIS
SEASONAL VARIATIONS
WIND
CARBON COMPOUNDS
CARBON OXIDES
CHALCOGENIDES
CONTROL
MATHEMATICS
OXIDES
OXYGEN COMPOUNDS
POLLUTION CONTROL
STATISTICS
VARIATIONS
500200* - Environment
Atmospheric- Chemicals Monitoring &amp; Transport- (-1989)