Near-roadway monitoring of vehicle emissions as a function of mode of operation for light-duty vehicles
| Autor: | Sheng Xiang, Dongqi Wen, Tongchuan Wei, Wenjuan Zhai, Kenneth E. Noll, Zhice Hu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
010504 meteorology & atmospheric sciences Air pollution Wind 010501 environmental sciences Management Monitoring Policy and Law medicine.disease_cause 01 natural sciences Automotive engineering medicine Humans Waste Management and Disposal Air quality index 0105 earth and related environmental sciences Vehicle Emissions Chicago Air Pollutants Carbon Monoxide business.industry Light duty Carbon Dioxide Traffic flow Monitoring program Models Chemical Particulate Matter business Environmental Monitoring |
| Zdroj: | Journal of the AirWaste Management Association (1995). 67(11) |
| ISSN: | 2162-2906 |
| Popis: | Determination of the effect of vehicle emissions on air quality near roadways is important because vehicles are a major source of air pollution. A near-roadway monitoring program was undertaken in Chicago between August 4 and October 30, 2014, to measure ultrafine particles, carbon dioxide, carbon monoxide, traffic volume and speed, and wind direction and speed. The objective of this study was to develop a method to relate short-term changes in traffic mode of operation to air quality near roadways using data averaged over 5-min intervals to provide a better understanding of the processes controlling air pollution concentrations near roadways. Three different types of data analysis are provided to demonstrate the type of results that can be obtained from a near-roadway sampling program based on 5-min measurements: (1) development of vehicle emission factors (EFs) for ultrafine particles as a function of vehicle mode of operation, (2) comparison of measured and modeled COThe paper provides emission factors (EFs) that are a function of traffic volume and mode of operation (free flow and congestion) for LDVs under real-world conditions. The good agreement between monitoring and modeling results indicates that high-resolution, simultaneous measurements of air quality and meteorological and traffic conditions can be used to determine real-world, fleet-wide vehicle EFs as a function of vehicle mode of operation under actual driving conditions. |
| Databáze: | OpenAIRE |
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