Articles | Volume 18, issue 16
Atmos. Chem. Phys., 18, 11563–11580, 2018
https://doi.org/10.5194/acp-18-11563-2018
Atmos. Chem. Phys., 18, 11563–11580, 2018
https://doi.org/10.5194/acp-18-11563-2018

Research article 16 Aug 2018

Research article | 16 Aug 2018

Exploration of PM2.5 sources on the regional scale in the Pearl River Delta based on ME-2 modeling

Xiao-Feng Huang et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by X.F. Huang on behalf of the Authors (26 Jun 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Jun 2018) by James Allan
RR by Anonymous Referee #1 (14 Jul 2018)
ED: Publish subject to minor revisions (review by editor) (15 Jul 2018) by James Allan
AR by X.F. Huang on behalf of the Authors (23 Jul 2018)  Author's response    Manuscript
ED: Publish as is (24 Jul 2018) by James Allan
Download
Short summary
A novel multilinear engine (ME-2) model was applied to the PM2.5 dataset observed in the Pearl River Delta (PRD) of China in 2015 and identified the sources of secondary sulfate (21 %), vehicle emissions (14 %), industrial emissions (13 %), secondary nitrate (11 %), biomass burning (11 %), secondary organic aerosol (7 %), coal burning (6 %), fugitive dust (5 %), ship emissions (3 %) and aged sea salt (2 %). The central PRD area was clearly identified as the key emission area in the PRD.
Altmetrics
Final-revised paper
Preprint