Estimation of nitrogen dioxide concentrations in the vicinity of a roadway by optimal filtering theory (Q1094381)

Distributed filtering theory and maximum likelihood estimation are applied to the joint estimation of atmospheric diffusion parameters and of nitrogen dioxide \((NO_ 2)\) concentration levels in the vicinity of a heavily travelled roadway in Tokushima, Japan. An optimal estimator for the air pollution problem is derived in the case of time-averaged and pointwise observations. Based on the \(NO_ 2\) measurement data in the study area, traffic volumes and weather conditions, an algorithm is developed that can be used in conjunction with urban air pollution models to estimate the spatial and temporal distribution of airborne \(NO_ 2\) levels.