Estimation of on-road NO2 concentrations, NO2 /NOX ratios, and related roadway gradients from near-road monitoring data

Air Quality, Atmosphere, & Health
Jennifer Richmond-BryantSue Kimbrough

Abstract

This paper describes a new regression modeling approach to estimate on-road nitrogen dioxide (NO2) and oxides of nitrogen (NOX) concentrations and near-road spatial gradients using data from a near-road monitoring network. Field data were collected in Las Vegas, NV at three monitors sited 20, 100, and 300 m from Interstate-15 between December, 2008 and January, 2010. Measurements of NO2 and NOX were integrated over 1-hour intervals and matched with meteorological data. Several mathematical transformations were tested for regressing pollutant concentrations against distance from the roadway. A logit-ln model was found to have the best fit (R2 = 94.7%) and also provided a physically realistic profile. The mathematical model used data from the near-road monitors to estimate on-road concentrations and the near-road gradient over which mobile source pollutants have concentrations elevated above background levels. Average and maximum on-road NO2 concentration estimates were 33 ppb and 105 ppb, respectively. Concentration gradients were steeper in the morning and late afternoon compared with overnight when stable conditions preclude mixing. Estimated on-road concentrations were also highest in the late afternoon. Median estimated on-r...Continue Reading

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Citations

Mar 11, 2020·Frontiers in Public Health·Ioannis ManisalidisEugenia Bezirtzoglou
Feb 12, 2019·Environmental Epidemiology·Mary Willis, Perry Hystad
Jul 15, 2021·Environmental Science and Pollution Research International·Mario Villalobos-ForbesIoannis Matiatos
Mar 23, 2018·Environmental Science & Technology·Bo YangXian Wu
Sep 2, 2021·Annual Review of Biomedical Data Science·Tracey HollowayMark A Zondlo

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