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

ABSTRACT: This paper describes a new regression modeling approach to estimate on-road nitrogen dioxide (NO₂) and oxides of nitrogen (NO_X) 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 NO_X 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 fro

SUBMITTER: Richmond-Bryant J 

PROVIDER: S-EPMC6145484 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature