A framework for identifying distinct multipollutant profiles in air pollution data.

ABSTRACT:

Background

The importance of describing, understanding and regulating multi-pollutant mixtures has been highlighted by the US National Academy of Science and the Environmental Protection Agency. Furthering our understanding of the health effects associated with exposure to mixtures of pollutants will lead to the development of new multi-pollutant National Air Quality Standards.

Objectives

Introduce a framework within which diagnostic methods that are based on our understanding of air pollution mixtures are used to validate the distinct air pollutant mixtures identified using cluster analysis.

Methods

Six years of daily gaseous and particulate air pollution data collected in Boston, MA were classified solely on their concentration profiles. Classification was performed

SUBMITTER: Austin E 

PROVIDER: S-EPMC3774277 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature