On-Road Mobile Source Pollutant Emissions: Identifying Hotspots and Ranking Roads

Details

• Creators:
  Kandiah, Ramanitharan
• Corporate Creators:
  International Center for Water Resources Management ; Central State University. Department of Water Resources Management
• Corporate Contributors:
  Ohio Transportation Consortium
• Subject/TRT Terms:
  Air Pollution Sources Exhaust Gases Mobile Sources On-road Mobile Sources, Pollutant, MOVES, Self Organizing Maps, Traffic
• Resource Type:
  Tech Report
• Geographical Coverage:
  Ohio
• Corporate Publisher:
  Ohio Transportation Consortium
• Abstract:
  A considerable amount of pollution to the air in the forms of hydrocarbons, carbon
  
  monoxide (CO), nitrogen oxides (NOx), particulate matter (PM) and air toxics comes
  
  from the on-road mobile sources. Estimation of the emissions of these pollutants and
  
  quantification of the pollutants released are the most important initial steps in the
  
  process of controlling the air pollution. This study presents a methodology to rank the
  
  roads based on the On-Road Mobile Source Air Pollutant (ORMSAP) emissions using
  
  self organizing maps (SOM). This methodology was applied in a case study in Ohio with
  
  the historic Average Annual Daily Traffic (AADT) data for highways. This data was
  
  obtained from Ohio Department of Transportation (ODOT) and the ORMSAP emission
  
  estimates were computed from Motor Vehicle Emission Simulator (MOVES). Traffic was
  
  considered as of two types of vehicles, gasoline powered passenger vehicles and diesel
  
  powered commercial trucks driven on three types of highways, interstate route, state
  
  route and US route. Five ORMSAPs -CO, NOx, PM10, PM2.5 and SO2- were taken into
  
  account in this study. Ohio highway network was classified into groups based on five
  
  ORMSAP emissions per road length and also per road segment. Ohio counties were
  
  classified according to the total ORMSAP emissions per county and also ORMSAP
  
  emissions per highway length, per capita and per area of the county. The results were
  
  visualized with the GIS maps.
  
  
• Format:
  PDF
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:460c22e036f52311227cc5e6d19472fcbb658c20dfea538b4b12f23d9c925feba919625ddb98a3a1aa2511938eef48d5b582d708079dc7f846958e71bb7e3dac
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/20586/dot_20586_DS1.pdf
• File Type:
  [PDF - 11.81 MB ]