Development and Evaluation of the R-LINE Model Algorithms to Account for Chemical Transformation in the Near-road Environment.

ABSTRACT: With increased urbanization, there is increased mobility leading to higher amount of traffic-related activity on a global scale. Most NO_x from combustion sources (about 90-95%) are emitted as NO, which is then readily converted to NO₂ in the ambient air, while the remainder is emitted largely as NO₂. Thus, the bulk of ambient NO₂ is formed due to secondary production in the atmosphere, and which R-LINE cannot predict given that it can only model the dispersion of primary air pollutants. NO₂ concentrations near major roads are appreciably higher than those measured at monitors in existing networks in urban areas, motivating a need to incorporate a mechanism in R-LINE to account for NO₂ formation. To address this, we implement

SUBMITTER: Valencia A 

PROVIDER: S-EPMC5954839 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature