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Title: Modeling ambient carbon monoxide trends to evaluate mobile source emissions reductions

Abstract

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.

Authors:
;
Publication Date:
Research Org.:
Atmospheric Science Research Laboratory, U.S. EPA, Research Triangle Park, NC 27711
OSTI Identifier:
5842972
Resource Type:
Journal Article
Journal Name:
J. Appl. Meteorol.; (United States)
Additional Journal Information:
Journal Volume: 26:10
Country of Publication:
United States
Language:
English
Subject:
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 & Transport- (-1989)

Citation Formats

Dennis, R L, and Downton, M W. Modeling ambient carbon monoxide trends to evaluate mobile source emissions reductions. United States: N. p., 1987. Web. doi:10.1175/1520-0450(1987)026<1377:MACMTT>2.0.CO;2.
Dennis, R L, & Downton, M W. Modeling ambient carbon monoxide trends to evaluate mobile source emissions reductions. United States. https://doi.org/10.1175/1520-0450(1987)026<1377:MACMTT>2.0.CO;2
Dennis, R L, and Downton, M W. 1987. "Modeling ambient carbon monoxide trends to evaluate mobile source emissions reductions". United States. https://doi.org/10.1175/1520-0450(1987)026<1377:MACMTT>2.0.CO;2.
@article{osti_5842972,
title = {Modeling ambient carbon monoxide trends to evaluate mobile source emissions reductions},
author = {Dennis, R L and Downton, M W},
abstractNote = {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.},
doi = {10.1175/1520-0450(1987)026<1377:MACMTT>2.0.CO;2},
url = {https://www.osti.gov/biblio/5842972}, journal = {J. Appl. Meteorol.; (United States)},
number = ,
volume = 26:10,
place = {United States},
year = {Thu Oct 01 00:00:00 EDT 1987},
month = {Thu Oct 01 00:00:00 EDT 1987}
}