Evaluation of anthropogenic secondary organic aerosol tracers from aromatic hydrocarbons

Al-Naiema, Ibrahim M.; Stone, Elizabeth A.

doi:https://doi.org/10.5194/acp-17-2053-2017

Articles | Volume 17, issue 3

https://doi.org/10.5194/acp-17-2053-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-2053-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 3

Research article

|

10 Feb 2017

Research article |

| 10 Feb 2017

Evaluation of anthropogenic secondary organic aerosol tracers from aromatic hydrocarbons

Ibrahim M. Al-Naiema and Elizabeth A. Stone

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Final revised paper (published on 10 Feb 2017)
Supplement to the final revised paper
Preprint (discussion started on 13 Sep 2016)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of “Evaluation of anthropogenic secondary organic aerosol tracers” by Al-Naiema and Stone', Anonymous Referee #1, 26 Sep 2016
- AC1: 'Response to Referee #1', Elizabeth Stone, 21 Dec 2016
RC2: 'Review of acp-2016-805', Anonymous Referee #2, 18 Oct 2016
- AC2: 'Response to Referee #2', Elizabeth Stone, 21 Dec 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Elizabeth Stone on behalf of the Authors (21 Dec 2016) Author's response Manuscript

ED: Publish as is (07 Jan 2017) by James Roberts

AR by Elizabeth Stone on behalf of the Authors (09 Jan 2017)

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Short summary

Molecular tracers have proven useful in estimating contributions of primary and biogenic secondary sources to atmospheric particulate matter but have lagged behind for anthropogenic secondary sources. This study takes a field-based approach to evaluate the detectability, specificity, and gas–particle partitioning of prospective anthropogenic SOA tracers. We conclude that a subset of species are likely useful tracers and are recommended for use in future source apportionment studies.