Health impact assessment of exposure to fine particulate matter based on satellite and meteorological information

Environ Sci Process Impacts. 2014 Feb;16(2):239-46. doi: 10.1039/c3em00357d.

Abstract

Air pollution in China, especially in the Pearl River Delta (PRD) region, has drastically increased in recent years. We modelled annual mean ground-level PM2.5 concentrations based on worldwide satellite information and meteorological data from 40 cities outside the PRD. The model of PM2.5 concentration (R = 0.845) was best explained by aerosol optical thickness (43.8%). We validated the spatial-temporal dimensions of the model and estimated that the annual mean PM2.5 concentration in PRD ranged between 22 and 65 μg m(-3). Then we used meta-analysis to obtain the pooled excess risks of mortality in China and assessed the health impacts. We found an inverse association between short-term excess risks of mortality and annual mean PM2.5 concentrations. Based on the above models and analyses, the associated excess deaths for all-cause and cardiopulmonary diseases were 3386 and 2639 respectively. The corresponding risk-standardized excess death rates were 2006 and 1069 per million people.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants / analysis*
  • Air Pollution / statistics & numerical data*
  • China
  • Environmental Monitoring*
  • Health Impact Assessment
  • Humans
  • Inhalation Exposure / statistics & numerical data*
  • Meteorological Concepts
  • Particulate Matter / analysis*
  • Remote Sensing Technology
  • Satellite Imagery

Substances

  • Air Pollutants
  • Particulate Matter