Estimates of global mortality attributable to particulate air pollution using satellite imagery

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• 作者：Jessica Evans^a ; ^{jessica.evans@mail.mcgill.ca} ; Aaron van Donkelaar^b ; Randall V. Martin^b ; ^c ; Richard Burnett^d ; Daniel G. Rainham^e ; Nicholas J. Birkett^f ; Daniel Krewski^f
• 关键词：Health burden ; Global ; Mortality ; Particulate matter ; Satellite imaging
• 刊名：Environmental Research
• 出版年：2013
• 出版时间：January, 2013
• 年：2013
• 卷：120
• 期：Complete
• 页码：33-42
• 全文大小：705 K

文摘

Background

Epidemiological studies of the health effects of air pollution have traditionally relied upon ground-monitoring stations to measure ambient concentrations. Satellite derived air pollution measures offer the advantage of providing global coverage.

Objective

To undertake a global assessment of mortality associated with long-term exposure to fine particulate air pollution using remote sensing data.

Methods

Global PM_2.5 exposure levels were derived from the MODIS and MISR satellite instruments. Relative risks and attributable fractions of mortality were modeled using previously developed concentration-response functions for the association between PM_2.5 and mortality.

Results

The global fraction of adult mortality attributable to the anthropogenic component of PM_2.5 (95 % CI) was 8.0 % (5.3-10.5) for cardiopulmonary disease, 12.8 % (5.9-18.5) for lung cancer, and 9.4 % (6.6-11.8) for ischemic heart disease.

Conclusion

This study demonstrates the feasibility of using satellite derived pollution concentrations in assessing the population health impacts of air pollution at the global scale. This approach leads to global estimates of mortality attributable to PM_2.5 that are greater than those based on fixed site ground-level measures of urban PM_2.5, but more similar to estimates based on global chemical transport model simulations of anthropogenic PM_2.5.