Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: van Donkelaar, Aaron, Martin, Randall V., Brauer, Michael, Kahn, Ralph, Levy, Robert, Verduzco, Carolyn, Villeneuve, Paul J.
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2010
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
_version_ 1782183535678849024
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
work_keys_str_mv AT vandonkelaaraaron globalestimatesofambientfineparticulatematterconcentrationsfromsatellitebasedaerosolopticaldepthdevelopmentandapplication
AT martinrandallv globalestimatesofambientfineparticulatematterconcentrationsfromsatellitebasedaerosolopticaldepthdevelopmentandapplication
AT brauermichael globalestimatesofambientfineparticulatematterconcentrationsfromsatellitebasedaerosolopticaldepthdevelopmentandapplication
AT kahnralph globalestimatesofambientfineparticulatematterconcentrationsfromsatellitebasedaerosolopticaldepthdevelopmentandapplication
AT levyrobert globalestimatesofambientfineparticulatematterconcentrationsfromsatellitebasedaerosolopticaldepthdevelopmentandapplication
AT verduzcocarolyn globalestimatesofambientfineparticulatematterconcentrationsfromsatellitebasedaerosolopticaldepthdevelopmentandapplication
AT villeneuvepaulj globalestimatesofambientfineparticulatematterconcentrationsfromsatellitebasedaerosolopticaldepthdevelopmentandapplication