Abstract:
:This work describes a methodology for modeling the impact of traffic-generated air pollutants in an urban area. This methodology presented here utilizes road network geometry, traffic volume, temporal allocation factors, fleet mixes, and emission factors to provide critical modeling inputs. These inputs, assembled from a variety of sources, are combined with meteorological inputs to generate link-based emissions for use in dispersion modeling to estimate pollutant concentration levels due to traffic. A case study implementing this methodology for a large health study is presented, including a sensitivity analysis of the modeling results reinforcing the importance of model inputs and identify those having greater relative impact, such as fleet mix. In addition, an example use of local measurements of fleet activity to supplement model inputs is described, and its impacts to the model outputs are discussed. We conclude that with detailed model inputs supported by local traffic measurements and meteorology, it is possible to capture the spatial and temporal patterns needed to accurately estimate exposure from traffic-related pollutants.
journal_name
Int J Environ Res Public Healthauthors
Snyder M,Arunachalam S,Isakov V,Talgo K,Naess B,Valencia A,Omary M,Davis N,Cook R,Hanna Adoi
10.3390/ijerph111212739subject
Has Abstractpub_date
2014-12-09 00:00:00pages
12739-66issue
12eissn
1661-7827issn
1660-4601pii
ijerph111212739journal_volume
11pub_type
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