Assessment of the contribution of traffic emissions to the mobile vehicle measured PM2.5 concentration by means of WRF-CMAQ simulations.
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2012-03-01
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Subject/TRT Terms:
- Air
- Air quality
- Quality of specific environments
- Air quality management
- Pollution control
- Pollutants
- Pollution
- Air pollution sources
- Air pollution
- Pollution of specific environments
- Exhaust gases
- Polluting gases
- Mobile sources
- Geographic information systems
- Uncertainty
- Simulation
- Environmental impacts
- Environmental quality
- Environmental policy
- Particulates
- Air quality management
- Air quality
- National Ambient Air Quality Standards
- Pollutants
- Exhaust gases
- Mobile sources
- Geographic information systems
- Uncertainty
- Simulation
- Environmental impacts
- Environmental policy
- Particulates
- Alaska
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Edition:Final research report; 8/1/2010-12/31/2011.
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Abstract:The Alaska adapted version of the Weather Research and Forecasting and the Community Modeling and Analysis Quality (WRF-CMAQ) modeling ; systems was used to assess the contribution of traffic to the PM2.5-concentration in the Fairbanks nonattainment area and to develop an algorithm to ; interpolate mobile measurements into areas without any observations. Simulations were performed with WRF-CMAQ with and without consideration ; of traffic emission for two episodes in winter 2009/10 and 2010/11. ; Comparison of the simulation results with observations showed that the Alaska adapted WRFCMAQ has relatively good performance in simulating ; meteorological quantities and PM2.5-concentrations. Comparison of the simulations with and without consideration of traffic emissions revealed that ; emissions from traffic contributed to about 10% on average to the total PM2.5-concentration in the Fairbanks nonattainment area during the two ; episodes. ; The interpolation algorithm was developed based on the WRF-CMAQ results of the first episode and its performance was demonstrated by the results ; of the second episode. The algorithm can be used in the future to produce spatial distributions of PM2.5-concentrations over the nonattainment area ; based on the limited observation made by the instrumented vehicle. Theinterpolated distributions can be visualized and put onto the web to serve as a ; tool to provide spatially differentiated air quality advisory to the public.
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Main Document Checksum:urn:sha256:e386fa07081550774f3f093e44f47d95d0f2176ae298fe13b170275f25d19dc8