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Main Title Enhancements of Remote Sensing for Vehicle Emissions in Tunnels.
Author Bishop, G. A. ; Zhang, Y. ; McLaren, S. E. ; Guenther, P. L. ; Beaton, S. P. ;
CORP Author Denver Univ., CO. Dept. of Chemistry. ;Nevada Univ. System, Reno. Desert Research Inst. ;ManTech Environmental Technology, Inc., Research Triangle Park, NC.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.;National Renewable Energy Lab., Washington, DC.
Publisher c1994
Year Published 1994
Report Number DOE-VE-12-1-92; EPA/600/J-94/359;
Stock Number PB94-209657
Additional Subjects Remote sensing ; Air pollution in tunnels ; Vehicle air pollution ; Exhaust emission measurement ; Nitrogen oxides ; Hydrocarbons ; Air pollution sampling ; Emission factors ; Automobile exhaust ; Exhaust emissions ; Vehicular tunnels ; Pennsylvania ; Maryland ; Air pollution monitors ; Periscopes ; Remote viewing equipment ; Infrared scanning ; Tunnel ventilation ; Reprints ; Fort McHenry Tunnel ; Tuscarora Mountain Tunnel
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NTIS  PB94-209657 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 9p
Abstract
The University of Denver in cooperation with the Desert Research Institute, U.S. EPA, and General Motors Corporation have successfully adapted the University of Denver's remote sensing system for vehicle exhaust to the measurement of vehicle emissions in a tunnel environment. Two studies conducted at the Fort McHenry Tunnel in Baltimore, MD and the Tuscarora Mountain Tunnel located west of Harrisburg, PA on the Pennsylvania Turnpike are described. The difficulties associated with remote sensing in a tunnel environment have led to a number of improvements in the remote sensing technology. Due to logistics and restrictions on placement of equipment in the Fort McHenry tunnel, a prototype periscope system was employed to optimize the height of the remote sensor's infrared beam path relative to vehicle exhaust plumes. At the Tuscarora Tunnel, first-time measurements of dual lane traffic were conducted using a single source and detector and two cameras for vehicle identification. This precluded the normal practice of directing traffic into a single lane which can alter normal driving patterns.