Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN

The Surface PARTiculate mAtter Network (SPARTAN) is a long-term project that includes characterization of chemical and physical attributes of aerosols from filter samples collected worldwide. This paper discusses the ongoing efforts of SPARTAN to define and quantify major ions and trace metals found...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Norford, Leslie Keith, Wang, Chien
Other Authors: Massachusetts Institute of Technology. Center for Global Change Science, Massachusetts Institute of Technology. Department of Architecture
Format: Article in Journal/Newspaper
Language:unknown
Published: Copernicus GmbH 2018
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Online Access:http://hdl.handle.net/1721.1/114191
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spelling ftmit:oai:dspace.mit.edu:1721.1/114191 2023-06-11T04:03:05+02:00 Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN Norford, Leslie Keith Wang, Chien Massachusetts Institute of Technology. Center for Global Change Science Massachusetts Institute of Technology. Department of Architecture Norford, Leslie Keith Wang, Chien 2018-02-16T17:45:20Z application/pdf http://hdl.handle.net/1721.1/114191 unknown Copernicus GmbH http://dx.doi.org/10.5194/ACP-16-9629-2016 Atmospheric Chemistry and Physics 1680-7324 1680-7316 http://hdl.handle.net/1721.1/114191 Snider, Graydon, et al. “Variation in Global Chemical Composition of PM2.5: Emerging Results from SPARTAN.” Atmospheric Chemistry and Physics, vol. 16, no. 15, Aug. 2016, pp. 9629–53. © Authors 2016. orcid:0000-0002-5631-7256 orcid:0000-0002-3979-4747 Attribution 3.0 Unported (CC BY 3.0) https://creativecommons.org/licenses/by/3.0/ Copernicus Publications Article http://purl.org/eprint/type/JournalArticle 2018 ftmit https://doi.org/10.5194/ACP-16-9629-2016 2023-05-29T08:54:38Z The Surface PARTiculate mAtter Network (SPARTAN) is a long-term project that includes characterization of chemical and physical attributes of aerosols from filter samples collected worldwide. This paper discusses the ongoing efforts of SPARTAN to define and quantify major ions and trace metals found in fine particulate matter (PM[subscript 2.5]). Our methods infer the spatial and temporal variability of PM[subscript 2.5] in a cost-effective manner. Gravimetrically weighed filters represent multi-day averages of PM[subscript 2.5], with a collocated nephelometer sampling air continuously. SPARTAN instruments are paired with AErosol RObotic NETwork (AERONET) sun photometers to better understand the relationship between ground-level PM [subscript 2.5] and columnar aerosol optical depth (AOD). We have examined the chemical composition of PM[subscript 2.5] at 12 globally dispersed, densely populated urban locations and a site at Mammoth Cave (US) National Park used as a background comparison. So far, each SPARTAN location has been active between the years 2013 and 2016 over periods of 2-26 months, with an average period of 12 months per site. These sites have collectively gathered over 10 years of quality aerosol data. The major PM[subscript 2.5] constituents across all sites (relative contribution±SD) are ammoniated sulfate (20%±11%), crustal material (13.4%±9.9%), equivalent black carbon (11.9%±8.4%), ammonium nitrate (4.7%±3.0%), sea salt (2.3%±1.6%), trace element oxides (1.0%±1.1%), water (7.2%±3.3%) at 35% RH, and residual matter (40%±24%). Analysis of filter samples reveals that several PM[subscript 2.5] chemical components varied by more than an order of magnitude between sites. Ammoniated sulfate ranges from 1.1μg m[superscript -3] (Buenos Aires, Argentina) to 17μg m[superscript -3] (Kanpur, India in the dry season). Ammonium nitrate ranged from 0.2μg m[superscript -3] (Mammoth Cave, in summer) to 6.8 μg m[superscript -3] (Kanpur, dry season). Equivalent black carbon ranged from 0.7μg mp[superscript -3] ... Article in Journal/Newspaper Aerosol Robotic Network DSpace@MIT (Massachusetts Institute of Technology) Argentina Atmospheric Chemistry and Physics 16 15 9629 9653
institution Open Polar
collection DSpace@MIT (Massachusetts Institute of Technology)
op_collection_id ftmit
language unknown
description The Surface PARTiculate mAtter Network (SPARTAN) is a long-term project that includes characterization of chemical and physical attributes of aerosols from filter samples collected worldwide. This paper discusses the ongoing efforts of SPARTAN to define and quantify major ions and trace metals found in fine particulate matter (PM[subscript 2.5]). Our methods infer the spatial and temporal variability of PM[subscript 2.5] in a cost-effective manner. Gravimetrically weighed filters represent multi-day averages of PM[subscript 2.5], with a collocated nephelometer sampling air continuously. SPARTAN instruments are paired with AErosol RObotic NETwork (AERONET) sun photometers to better understand the relationship between ground-level PM [subscript 2.5] and columnar aerosol optical depth (AOD). We have examined the chemical composition of PM[subscript 2.5] at 12 globally dispersed, densely populated urban locations and a site at Mammoth Cave (US) National Park used as a background comparison. So far, each SPARTAN location has been active between the years 2013 and 2016 over periods of 2-26 months, with an average period of 12 months per site. These sites have collectively gathered over 10 years of quality aerosol data. The major PM[subscript 2.5] constituents across all sites (relative contribution±SD) are ammoniated sulfate (20%±11%), crustal material (13.4%±9.9%), equivalent black carbon (11.9%±8.4%), ammonium nitrate (4.7%±3.0%), sea salt (2.3%±1.6%), trace element oxides (1.0%±1.1%), water (7.2%±3.3%) at 35% RH, and residual matter (40%±24%). Analysis of filter samples reveals that several PM[subscript 2.5] chemical components varied by more than an order of magnitude between sites. Ammoniated sulfate ranges from 1.1μg m[superscript -3] (Buenos Aires, Argentina) to 17μg m[superscript -3] (Kanpur, India in the dry season). Ammonium nitrate ranged from 0.2μg m[superscript -3] (Mammoth Cave, in summer) to 6.8 μg m[superscript -3] (Kanpur, dry season). Equivalent black carbon ranged from 0.7μg mp[superscript -3] ...
author2 Massachusetts Institute of Technology. Center for Global Change Science
Massachusetts Institute of Technology. Department of Architecture
Norford, Leslie Keith
Wang, Chien
format Article in Journal/Newspaper
author Norford, Leslie Keith
Wang, Chien
spellingShingle Norford, Leslie Keith
Wang, Chien
Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN
author_facet Norford, Leslie Keith
Wang, Chien
author_sort Norford, Leslie Keith
title Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN
title_short Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN
title_full Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN
title_fullStr Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN
title_full_unstemmed Variation in global chemical composition of PM[subscript 2.5]: emerging results from SPARTAN
title_sort variation in global chemical composition of pm[subscript 2.5]: emerging results from spartan
publisher Copernicus GmbH
publishDate 2018
url http://hdl.handle.net/1721.1/114191
geographic Argentina
geographic_facet Argentina
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Copernicus Publications
op_relation http://dx.doi.org/10.5194/ACP-16-9629-2016
Atmospheric Chemistry and Physics
1680-7324
1680-7316
http://hdl.handle.net/1721.1/114191
Snider, Graydon, et al. “Variation in Global Chemical Composition of PM2.5: Emerging Results from SPARTAN.” Atmospheric Chemistry and Physics, vol. 16, no. 15, Aug. 2016, pp. 9629–53. © Authors 2016.
orcid:0000-0002-5631-7256
orcid:0000-0002-3979-4747
op_rights Attribution 3.0 Unported (CC BY 3.0)
https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.5194/ACP-16-9629-2016
container_title Atmospheric Chemistry and Physics
container_volume 16
container_issue 15
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