Modeling ambient carbon monoxide trends to evaluate mobile-source emissions reductions

Technical Report · Thu Jan 01 00:00:00 EST 1987

OSTI ID:5615247

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 advance CO regression model is developed, 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 reliably separates the effects of emissions change from the effects of fluctuations in meteorological conditions. The model has sufficient precision to identify present trends in emissions from ambient concentration data. The 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: Environmental Protection Agency, Research Triangle Park, NC (USA). Atmospheric Sciences Research Lab.
• OSTI ID: 5615247
• Report Number(s): PB-89-201834/XAB; EPA-600/J-87/477
• Resource Relation: Other Information: Pub. in Jnl. of Climate and Applied Meteorology, Vol. 26, No. 10, 1377-1391(Oct 1987)
• Country of Publication: United States
• Language: English

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
AIR POLLUTION CONTROL
MATHEMATICAL MODELS
CARBON MONOXIDE
EXHAUST GASES
MOBILE POLLUTANT SOURCES
VEHICLES
DIFFUSION
INSPECTION
MAINTENANCE
METEOROLOGY
REGRESSION ANALYSIS
VELOCITY
WIND
CARBON COMPOUNDS
CARBON OXIDES
CHALCOGENIDES
CONTROL
FLUIDS
GASEOUS WASTES
GASES
MATHEMATICS
OXIDES
OXYGEN COMPOUNDS
POLLUTION CONTROL
POLLUTION SOURCES
STATISTICS
WASTES
330702* - Emission Control- Carbon Monoxide