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Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment
[Image: see text] Epidemiologic and health impact studies are inhibited by the paucity of global, long-term measurements of the chemical composition of fine particulate matter. We inferred PM(2.5) chemical composition at 0.1° × 0.1° spatial resolution for 2004–2008 by combining aerosol optical depth...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238642/ https://www.ncbi.nlm.nih.gov/pubmed/25343705 http://dx.doi.org/10.1021/es502965b |
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author | Philip, Sajeev Martin, Randall V. van Donkelaar, Aaron Lo, Jason Wai-Ho Wang, Yuxuan Chen, Dan Zhang, Lin Kasibhatla, Prasad S. Wang, Siwen Zhang, Qiang Lu, Zifeng Streets, David G. Bittman, Shabtai Macdonald, Douglas J. |
author_facet | Philip, Sajeev Martin, Randall V. van Donkelaar, Aaron Lo, Jason Wai-Ho Wang, Yuxuan Chen, Dan Zhang, Lin Kasibhatla, Prasad S. Wang, Siwen Zhang, Qiang Lu, Zifeng Streets, David G. Bittman, Shabtai Macdonald, Douglas J. |
author_sort | Philip, Sajeev |
collection | PubMed |
description | [Image: see text] Epidemiologic and health impact studies are inhibited by the paucity of global, long-term measurements of the chemical composition of fine particulate matter. We inferred PM(2.5) chemical composition at 0.1° × 0.1° spatial resolution for 2004–2008 by combining aerosol optical depth retrieved from the MODIS and MISR satellite instruments, with coincident profile and composition information from the GEOS-Chem global chemical transport model. Evaluation of the satellite-model PM(2.5) composition data set with North American in situ measurements indicated significant spatial agreement for secondary inorganic aerosol, particulate organic mass, black carbon, mineral dust, and sea salt. We found that global population-weighted PM(2.5) concentrations were dominated by particulate organic mass (11.9 ± 7.3 μg/m(3)), secondary inorganic aerosol (11.1 ± 5.0 μg/m(3)), and mineral dust (11.1 ± 7.9 μg/m(3)). Secondary inorganic PM(2.5) concentrations exceeded 30 μg/m(3) over East China. Sensitivity simulations suggested that population-weighted ambient PM(2.5) from biofuel burning (11 μg/m(3)) could be almost as large as from fossil fuel combustion sources (17 μg/m(3)). These estimates offer information about global population exposure to the chemical components and sources of PM(2.5.) |
format | Online Article Text |
id | pubmed-4238642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-42386422015-10-24 Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment Philip, Sajeev Martin, Randall V. van Donkelaar, Aaron Lo, Jason Wai-Ho Wang, Yuxuan Chen, Dan Zhang, Lin Kasibhatla, Prasad S. Wang, Siwen Zhang, Qiang Lu, Zifeng Streets, David G. Bittman, Shabtai Macdonald, Douglas J. Environ Sci Technol [Image: see text] Epidemiologic and health impact studies are inhibited by the paucity of global, long-term measurements of the chemical composition of fine particulate matter. We inferred PM(2.5) chemical composition at 0.1° × 0.1° spatial resolution for 2004–2008 by combining aerosol optical depth retrieved from the MODIS and MISR satellite instruments, with coincident profile and composition information from the GEOS-Chem global chemical transport model. Evaluation of the satellite-model PM(2.5) composition data set with North American in situ measurements indicated significant spatial agreement for secondary inorganic aerosol, particulate organic mass, black carbon, mineral dust, and sea salt. We found that global population-weighted PM(2.5) concentrations were dominated by particulate organic mass (11.9 ± 7.3 μg/m(3)), secondary inorganic aerosol (11.1 ± 5.0 μg/m(3)), and mineral dust (11.1 ± 7.9 μg/m(3)). Secondary inorganic PM(2.5) concentrations exceeded 30 μg/m(3) over East China. Sensitivity simulations suggested that population-weighted ambient PM(2.5) from biofuel burning (11 μg/m(3)) could be almost as large as from fossil fuel combustion sources (17 μg/m(3)). These estimates offer information about global population exposure to the chemical components and sources of PM(2.5.) American Chemical Society 2014-10-24 2014-11-18 /pmc/articles/PMC4238642/ /pubmed/25343705 http://dx.doi.org/10.1021/es502965b Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Philip, Sajeev Martin, Randall V. van Donkelaar, Aaron Lo, Jason Wai-Ho Wang, Yuxuan Chen, Dan Zhang, Lin Kasibhatla, Prasad S. Wang, Siwen Zhang, Qiang Lu, Zifeng Streets, David G. Bittman, Shabtai Macdonald, Douglas J. Global Chemical Composition of Ambient Fine Particulate Matter for Exposure Assessment |
title | Global
Chemical Composition of Ambient Fine Particulate
Matter for Exposure Assessment |
title_full | Global
Chemical Composition of Ambient Fine Particulate
Matter for Exposure Assessment |
title_fullStr | Global
Chemical Composition of Ambient Fine Particulate
Matter for Exposure Assessment |
title_full_unstemmed | Global
Chemical Composition of Ambient Fine Particulate
Matter for Exposure Assessment |
title_short | Global
Chemical Composition of Ambient Fine Particulate
Matter for Exposure Assessment |
title_sort | global
chemical composition of ambient fine particulate
matter for exposure assessment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4238642/ https://www.ncbi.nlm.nih.gov/pubmed/25343705 http://dx.doi.org/10.1021/es502965b |
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