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Allocation of onroad mobile emissions to road segments for air toxics modeling in an urban area
Institution:1. Open Lab of Industrial Cloud for Intelligent Manufacturing, Changzhou College of Information Technology, Changzhou, China;2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning province, School of Software, Dalian University of Technology, Dalian 116024, China;3. Institute of Telecommunications, University of Beira Interior, Covilha, Portugal;4. Department of Informatics, University ITMO, St. Petersburg, Russiathe, Russia
Abstract:Dispersion models are useful tools for setting emission control priorities and developing strategies for reducing air toxics emissions. Previous methodologies for modeling hazardous air pollutant emissions for onroad mobile sources are based on using spatial surrogates to allocate county level emissions to grid cells. A disadvantage of this process is that it spreads onroad emissions throughout a grid cell instead of along actual road locations. High local concentrations may be underestimated near major roadways, which are often clustered in urban centers. Here, we describe a methodology which utilizes a Geographic Information System to allocate benzene emissions to major road segments in an urban area and model the segments as elongated area sources. The Industrial Source Complex Short Term dispersion model is run using both gridded and link-based emissions to evaluate the effect of improved spatial allocation of emissions on ambient modeled benzene concentrations. Allocating onroad mobile emissions to road segments improves the agreement between modeled concentrations when compared with monitor observations, and also results in higher estimated concentrations in the urban center.
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