Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application
BACKGROUND: Epidemiologie and health impact studies of fine particulate matter with diameter < 2.5 um (PM₂.₄) are limited by the lack of monitoring data, especially in developing countries. Satellite observations offer valuable global information about PM₂.₄ concentrations. OBJECTIVE: In this stu...
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Published in | Environmental health perspectives Vol. 118; no. 6; pp. 847 - 855 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Research Triangle Park, NC
National Institute of Environmental Health Sciences
01.06.2010
US Department of Health and Human Services |
Subjects | |
Online Access | Get full text |
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Summary: | BACKGROUND: Epidemiologie and health impact studies of fine particulate matter with diameter < 2.5 um (PM₂.₄) are limited by the lack of monitoring data, especially in developing countries. Satellite observations offer valuable global information about PM₂.₄ concentrations. OBJECTIVE: In this study, we developed a technique for estimating surface PM₂.₄ concentrations from satellite observations. METHODS: We mapped global ground-level PM₂.₄ concentrations using total column aerosol optical depth (AOD) from the MODIS (Moderate Resolution Imaging Spectroradiometer) and MISR (Multiangle Imaging Spectroradiometer) satellite instruments and coincident aerosol vertical profiles from the GEOS-Chem global chemical transport model. RESULTS: We determined that global estimates of long-term average (1 January 2001 to 31 December 2006) PM₂.₄ concentrations at approximately 10 km x 10 km resolution indicate a global population-weighted geometric mean PM2.5 concentration of 20 ug/m³. The World Health Organization Air Quality PM₂.₄ Interim Target-1 (35 Hg/m 3 annual average) is exceeded over central and eastern Asia for 38% and for 50% of the population, respectively. Annual mean PM₂.₄ concentrations exceed 80 ug/m 3 over eastern China. Our evaluation of the satellite-derived estimate with ground-based in situ measurements indicates significant spatial agreement with North American measurements (r = 0.77; slope = 1.07; n= 1057) and with noncoincident measurements elsewhere (r = 0.83; slope = 0.86; n = 244). The 1 SO of uncertainty in the satellite-derived PM₂.₄ is 25%, which is inferred from the AOD retrieval and from aerosol vertical profile errors and sampling.The global population-weighted mean uncertainty is 6.7 ug/m³. CONCLUSIONS: Satellite-derived total-column AOD, when combined with a chemical transport model,provides estimates of global long-term average PM₂.₄ concentrations. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 The authors declare they have no actual or potential competing financial interests. |
ISSN: | 0091-6765 1552-9924 1552-9924 |
DOI: | 10.1289/ehp.0901623 |