Articles | Volume 15, issue 2
Atmos. Chem. Phys., 15, 815–827, 2015

Special issue: Quantifying the impact of Boreal fires on tropospheric oxidants...

Atmos. Chem. Phys., 15, 815–827, 2015

Research article 23 Jan 2015

Research article | 23 Jan 2015

A comparison of four receptor models used to quantify the boreal wildfire smoke contribution to surface PM2.5 in Halifax, Nova Scotia during the BORTAS-B experiment

M. D. Gibson et al.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mark Gibson on behalf of the Authors (26 Nov 2014)  Author's response    Manuscript
ED: Publish as is (09 Dec 2014) by Stephan Matthiesen
Short summary
This paper presents a quantitative comparison of the four most commonly used receptor models, namely absolute principal component scores, pragmatic mass closure, chemical mass balance, and positive matrix factorization. The receptor models were used to predict the contributions of boreal wild-fire smoke and other sources to PM2.5 mass in Halifax, Nova Scotia, Canada during the BORTAS-B experiment. This paper also presents a new woodsmoke PM2.5 enrichment factor (levoglucosan x 52).
Final-revised paper