A Bayesian Multivariate Receptor Model for Estimating Source Contributions to Particulate Matter Pollution using National Databases.
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ABSTRACT:
SUBMITTER: Hackstadt AJ
PROVIDER: S-EPMC4188403 | biostudies-other | 2014 Nov
REPOSITORIES: biostudies-other
Publications
A Bayesian Multivariate Receptor Model for Estimating Source Contributions to Particulate Matter Pollution using National Databases.
Hackstadt Amber J AJ Peng Roger D RD
Environmetrics 20141101 7
Time series studies have suggested that air pollution can negatively impact health. These studies have typically focused on the total mass of fine particulate matter air pollution or the individual chemical constituents that contribute to it, and not source-specific contributions to air pollution. Source-specific contribution estimates are useful from a regulatory standpoint by allowing regulators to focus limited resources on reducing emissions from sources that are major contributors to air po ...[more]
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