Tags

Type your tag names separated by a space and hit enter

Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application.
Environ Health Perspect. 2010 Jun; 118(6):847-55.EH

Abstract

BACKGROUND

Epidemiologic and health impact studies of fine particulate matter with diameter < 2.5 microm (PM2.5) are limited by the lack of monitoring data, especially in developing countries. Satellite observations offer valuable global information about PM2.5 concentrations.

OBJECTIVE

In this study, we developed a technique for estimating surface PM2.5 concentrations from satellite observations.

METHODS

We mapped global ground-level PM2.5 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) PM2.5 concentrations at approximately 10 km x 10 km resolution indicate a global population-weighted geometric mean PM2.5 concentration of 20 microg/m3. The World Health Organization Air Quality PM2.5 Interim Target-1 (35 microg/m3 annual average) is exceeded over central and eastern Asia for 38% and for 50% of the population, respectively. Annual mean PM2.5 concentrations exceed 80 microg/m3 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 SD of uncertainty in the satellite-derived PM2.5 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 microg/m3.

CONCLUSIONS

Satellite-derived total-column AOD, when combined with a chemical transport model, provides estimates of global long-term average PM2.5 concentrations.

Links

PMC Free PDF
PMC Free Full Text
FREE Publisher Full Text

Authors+Show Affiliations

van Donkelaar A
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada. Aaron.van.Donkelaar@dal.ca
Martin RV
No affiliation info available
Brauer M
No affiliation info available
Kahn R
No affiliation info available
Levy R
No affiliation info available
Verduzco C
No affiliation info available
Villeneuve PJ
No affiliation info available

MeSH

AerosolsAir PollutionEnvironmental MonitoringModels, ChemicalParticulate MatterSpacecraft

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

20519161

Citation

van Donkelaar, Aaron, et al. "Global Estimates of Ambient Fine Particulate Matter Concentrations From Satellite-based Aerosol Optical Depth: Development and Application." Environmental Health Perspectives, vol. 118, no. 6, 2010, pp. 847-55.
van Donkelaar A, Martin RV, Brauer M, et al. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environ Health Perspect. 2010;118(6):847-55.
van Donkelaar, A., Martin, R. V., Brauer, M., Kahn, R., Levy, R., Verduzco, C., & Villeneuve, P. J. (2010). Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environmental Health Perspectives, 118(6), 847-55. https://doi.org/10.1289/ehp.0901623
van Donkelaar A, et al. Global Estimates of Ambient Fine Particulate Matter Concentrations From Satellite-based Aerosol Optical Depth: Development and Application. Environ Health Perspect. 2010;118(6):847-55. PubMed PMID: 20519161.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. AU - van Donkelaar,Aaron, AU - Martin,Randall V, AU - Brauer,Michael, AU - Kahn,Ralph, AU - Levy,Robert, AU - Verduzco,Carolyn, AU - Villeneuve,Paul J, PY - 2009/10/26/received PY - 2010/02/25/accepted PY - 2010/6/4/entrez PY - 2010/6/4/pubmed PY - 2010/10/20/medline SP - 847 EP - 55 JF - Environmental health perspectives JO - Environ Health Perspect VL - 118 IS - 6 N2 - BACKGROUND: Epidemiologic and health impact studies of fine particulate matter with diameter < 2.5 microm (PM2.5) are limited by the lack of monitoring data, especially in developing countries. Satellite observations offer valuable global information about PM2.5 concentrations. OBJECTIVE: In this study, we developed a technique for estimating surface PM2.5 concentrations from satellite observations. METHODS: We mapped global ground-level PM2.5 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) PM2.5 concentrations at approximately 10 km x 10 km resolution indicate a global population-weighted geometric mean PM2.5 concentration of 20 microg/m3. The World Health Organization Air Quality PM2.5 Interim Target-1 (35 microg/m3 annual average) is exceeded over central and eastern Asia for 38% and for 50% of the population, respectively. Annual mean PM2.5 concentrations exceed 80 microg/m3 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 SD of uncertainty in the satellite-derived PM2.5 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 microg/m3. CONCLUSIONS: Satellite-derived total-column AOD, when combined with a chemical transport model, provides estimates of global long-term average PM2.5 concentrations. SN - 1552-9924 UR - https://www.unboundmedicine.com/medline/citation/20519161/Global_estimates_of_ambient_fine_particulate_matter_concentrations_from_satellite_based_aerosol_optical_depth:_development_and_application_ L2 - https://ehp.niehs.nih.gov/doi/10.1289/ehp.0901623?url_ver=Z39.88-2003&amp;rfr_id=ori:rid:crossref.org&amp;rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -