Assessing the Suitability of Multiple Dispersion and Land Use Regression Models for Urban Traffic-Related Ultrafine Particles

Details

• Personal Author:
  Durant JL ; Kumar P ; Milando C ; Patton AP
• Description:
  Comparative evaluations are needed to assess the suitability of near-road air pollution models for traffic-related ultrafine particle number concentration (PNC). Our goal was to evaluate the ability of dispersion (CALINE4, AERMOD, R-LINE, and QUIC) and regression models to predict PNC in a residential neighborhood (Somerville) and an urban center (Chinatown) near highways in and near Boston, Massachusetts. PNC was measured in each area, and models were compared to each other and measurements for hot (>18 degrees C) and cold (<10 degrees C) hours with wind directions parallel to and perpendicular downwind from highways. In Somerville, correlation and error statistics were typically acceptable, and all models predicted concentration gradients extending approximately 100 m from the highway. In contrast, in Chinatown, PNC trends differed among models, and predictions were poorly correlated with measurements likely due to effects of street canyons and nonhighway particle sources. Our results demonstrate the importance of selecting PNC models that align with study area characteristics (e.g., dominant sources and building geometry). We applied widely available models to typical urban study areas; therefore, our results should be generalizable to models of hourly averaged PNC in similar urban areas. [Description provided by NIOSH]
• Subjects:
  Air Pollutants, Occupational Air Pollution Automobiles Construction Industry Environmental Monitoring Occupational Health Particulate Matter Safety Temperature
• Keywords:
  Air Pollutants Air Pollution Emission Sources Environmental Monitoring Models Motor Vehicles Particulates Road Surfacing Temperature Effects Temperature Measurement Ultrafine Particles Ultrafine Particulates

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• ISSN:
  0013-936X
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Massachusetts ; Michigan ; New Jersey ; OSHA Region 1 ; OSHA Region 2 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  384-392
• Volume:
  51
• Issue:
  1
• NIOSHTIC Number:
  nn:20049889
• Citation:
  Environ Sci Technol 2017 Jan; 51(1):384-392
• Contact Point Address:
  Allison P. Patton, Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, New Jersey 0890
• Email:
  allison.patton@alumni.tufts.edu
• Federal Fiscal Year:
  2017
• Performing Organization:
  University of Michigan, Ann Arbor
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Environmental Science and Technology
• End Date:
  20280630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:5d754ef258a0022da4aa14a47a5300ce80e753ad9eb9c06c8f00ec1aa4123c91b476ed19c25377c980284c57700d6f7435fde09a2088b79f3dd920c49323c36a
• Download URL:
  https://stacks.cdc.gov/view/cdc/210484/cdc_210484_DS1.pdf
• File Type:
  [PDF - 1.11 MB ]