Analysis of tailpipe particulate matter emission from a sampling of Kansas City vehicles

<p>As the United States Environmental Protection Agency (EPA) seeks to model vehicle emissions based on dynamic engine operating conditions, modal PM datasets will be investigated for their robustness and limitations under the requirements of the EPA’s model: MOVES. The Kansas City PM Characterization Study tested more than 500 light-duty gasoline cars and trucks on a dynamometer in summertime and wintertime temperatures with four different modal PM2.5 instruments.</p> <p>Using data reduction techniques used to prepare other datasets for the MOVES model, the modal PM data were analyzed to determine its ability to be incorporated into MOVES. It was found through averages of vehicles that trucks emit more PM2.5 than cars, and wintertime emissions are greater than summertime emissions. The use of the data for MOVES is currently under review as separation of elemental and organic carbon fractions and correlations between age, model year, and other pollutants still need development.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Open Access Thesis

Discipline thesis:degree_discipline

Physics and Astronomy

Year

2006

Author dc:creator

• Roesler, Erika Louise

Contributors dc:contributor

• Edward Nam, PhD
• James Sheerin, PhD
• Ernest Behringer, PhD

• Automobiles motor Eexhaust gas measurement
• Waste gases Measurement
• Automobiles motors exhaust gas
• Kansas
• Kansas City Analysis
• Physics

Repository record dc:identifier

https://commons.emich.edu/theses/22

OAI identifier oai:identifier

oai:commons.emich.edu:theses-1021