Investigation of Nitrogen Oxides Emissions from a Major Roadway

The objective of the proposed research is to develop a model to predict pollutant concentrations near major roadways and validate the model with real-time pollutant concentration, traffic and meteorological data. Despite recent advances in the automobile industry in reducing emissions from individual vehicles, because of the regional increases in the traffic volumes, air pollution in those localities still persist at problematic levels. Vehicular emissions are the major contributors to atmospheric NOx constituting about half of all anthropogenic emissions. The secondary species formed in the atmosphere as the result of the reactions of NOx with other species, are known to cause a wide variety of health and environmental problems. Measurements done at the air pollution monitoring stations provide regional data with some temporal resolution but their numbers are too few to provide a detailed spatial resolution. Air pollutant concentrations can be significantly higher close to major roadways. This makes the local pollutant concentration measurements and finding ways to predict concentrations with a much higher spatial resolution essential in making decisions about locating buildings that will house sensitive populations, such as hospitals, day care centers, elementary schools, retirement homes and assisted living facilities. Therefore, there is a need for more data on NOx concentrations especially near major roadways, and for models, which can predict NOx concentrations with more accuracy and more spatial resolution. Therefore, to address these issues,  this research project is proposing to (1) build a mobile NO and NO2 measurement unit with the associated weather monitoring instrumentation; (2) obtain coordinated measurements of NO and NO2 concentrations and meteorological conditions at varying distances from the roadway, together with the traffic volume and vehicle type data; (3) use CALINE4 to estimate the NO2 concentrations at receptors located at the measurement points; and (4)  analyze the data obtained to elucidate the adequacy of CALINE4 in predicting the local NO2 concentrations near roadways and perform a sensitivity analysis on the input variables, which are not directly measured, to suggest possible improvements.

Language

  • English

Project

  • Status: Completed
  • Funding: $430000.00
  • Contract Numbers:

    DTRT06-G-0029

  • Sponsor Organizations:

    Department of Transportation

    Research and Special Programs Administration
    1200 New Jersey Avenue, SE
    Washington, DC    20590
  • Performing Organizations:

    Hampton University

    School of Engineering and Technology
    Hampton, VA  United States  23668
  • Principal Investigators:

    Akyurtlu, Jale

    Akyurtlu, Ates

  • Start Date: 20081001
  • Expected Completion Date: 0
  • Actual Completion Date: 20091231
  • Source Data: RiP Project 19746

Subject/Index Terms

Filing Info

  • Accession Number: 01462442
  • Record Type: Research project
  • Source Agency: Eastern Seaboard Intermodal Transportation Applications Center
  • Contract Numbers: DTRT06-G-0029
  • Files: UTC, RiP, USDOT
  • Created Date: Jan 3 2013 2:03PM