Bayesian maximum entropy integration of ozone observations and model predictions: an application for attainment demonstration in North Carolina.

ABSTRACT: States in the USA are required to demonstrate future compliance of criteria air pollutant standards by using both air quality monitors and model outputs. In the case of ozone, the demonstration tests aim at relying heavily on measured values, due to their perceived objectivity and enforceable quality. Weight given to numerical models is diminished by integrating them in the calculations only in a relative sense. For unmonitored locations, the EPA has suggested the use of a spatial interpolation technique to assign current values. We demonstrate that this approach may lead to erroneous assignments of nonattainment and may make it difficult for States to establish future compliance. We propose a method that combines different sources of information to map air pollution, using the Bayesian Ma

SUBMITTER: de Nazelle A 

PROVIDER: S-EPMC2912419 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature