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Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application
BACKGROUND: Epidemiologic and health impact studies of fine particulate matter with diameter < 2.5 μm (PM(2.5)) are limited by the lack of monitoring data, especially in developing countries. Satellite observations offer valuable global information about PM(2.5) concentrations. OBJECTIVE: In this...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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National Institute of Environmental Health Sciences
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898863/ https://www.ncbi.nlm.nih.gov/pubmed/20519161 http://dx.doi.org/10.1289/ehp.0901623 |
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author | van Donkelaar, Aaron Martin, Randall V. Brauer, Michael Kahn, Ralph Levy, Robert Verduzco, Carolyn Villeneuve, Paul J. |
author_facet | van Donkelaar, Aaron Martin, Randall V. Brauer, Michael Kahn, Ralph Levy, Robert Verduzco, Carolyn Villeneuve, Paul J. |
author_sort | van Donkelaar, Aaron |
collection | PubMed |
description | BACKGROUND: Epidemiologic and health impact studies of fine particulate matter with diameter < 2.5 μm (PM(2.5)) are limited by the lack of monitoring data, especially in developing countries. Satellite observations offer valuable global information about PM(2.5) concentrations. OBJECTIVE: In this study, we developed a technique for estimating surface PM(2.5) concentrations from satellite observations. METHODS: We mapped global ground-level PM(2.5) 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) PM(2.5) concentrations at approximately 10 km × 10 km resolution indicate a global population-weighted geometric mean PM(2.5) concentration of 20 μg/m(3). The World Health Organization Air Quality PM(2.5) Interim Target-1 (35 μg/m(3) annual average) is exceeded over central and eastern Asia for 38% and for 50% of the population, respectively. Annual mean PM(2.5) concentrations exceed 80 μg/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 SD of uncertainty in the satellite-derived PM(2.5) 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 μg/m(3). CONCLUSIONS: Satellite-derived total-column AOD, when combined with a chemical transport model, provides estimates of global long-term average PM(2.5) concentrations. |
format | Text |
id | pubmed-2898863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-28988632010-07-23 Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application van Donkelaar, Aaron Martin, Randall V. Brauer, Michael Kahn, Ralph Levy, Robert Verduzco, Carolyn Villeneuve, Paul J. Environ Health Perspect Research BACKGROUND: Epidemiologic and health impact studies of fine particulate matter with diameter < 2.5 μm (PM(2.5)) are limited by the lack of monitoring data, especially in developing countries. Satellite observations offer valuable global information about PM(2.5) concentrations. OBJECTIVE: In this study, we developed a technique for estimating surface PM(2.5) concentrations from satellite observations. METHODS: We mapped global ground-level PM(2.5) 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) PM(2.5) concentrations at approximately 10 km × 10 km resolution indicate a global population-weighted geometric mean PM(2.5) concentration of 20 μg/m(3). The World Health Organization Air Quality PM(2.5) Interim Target-1 (35 μg/m(3) annual average) is exceeded over central and eastern Asia for 38% and for 50% of the population, respectively. Annual mean PM(2.5) concentrations exceed 80 μg/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 SD of uncertainty in the satellite-derived PM(2.5) 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 μg/m(3). CONCLUSIONS: Satellite-derived total-column AOD, when combined with a chemical transport model, provides estimates of global long-term average PM(2.5) concentrations. National Institute of Environmental Health Sciences 2010-06 2010-03-16 /pmc/articles/PMC2898863/ /pubmed/20519161 http://dx.doi.org/10.1289/ehp.0901623 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research van Donkelaar, Aaron Martin, Randall V. Brauer, Michael Kahn, Ralph Levy, Robert Verduzco, Carolyn Villeneuve, Paul J. Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application |
title | Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application |
title_full | Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application |
title_fullStr | Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application |
title_full_unstemmed | Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application |
title_short | Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based Aerosol Optical Depth: Development and Application |
title_sort | global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898863/ https://www.ncbi.nlm.nih.gov/pubmed/20519161 http://dx.doi.org/10.1289/ehp.0901623 |
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