Articles | Volume 12, issue 5
https://doi.org/10.5194/amt-12-2933-2019
https://doi.org/10.5194/amt-12-2933-2019
Research article
 | 
28 May 2019
Research article |  | 28 May 2019

Strategies of method selection for fine-scale PM2.5 mapping in an intra-urban area using crowdsourced monitoring

Shan Xu, Bin Zou, Yan Lin, Xiuge Zhao, Shenxin Li, and Chenxia Hu

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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 Bin Zou on behalf of the Authors (06 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Mar 2019) by Pierre Herckes
RR by Anonymous Referee #2 (21 Mar 2019)
ED: Reconsider after major revisions (21 Mar 2019) by Pierre Herckes
AR by Bin Zou on behalf of the Authors (12 Apr 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Apr 2019) by Pierre Herckes
RR by Anonymous Referee #2 (30 Apr 2019)
ED: Publish subject to minor revisions (review by editor) (01 May 2019) by Pierre Herckes
AR by Bin Zou on behalf of the Authors (09 May 2019)  Author's response    Manuscript
ED: Publish as is (09 May 2019) by Pierre Herckes
AR by Bin Zou on behalf of the Authors (10 May 2019)  Author's response    Manuscript
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Short summary
This study presents strategies of method selection for 100 m scale PM2.5 mapping using a crowdsourced sampling campaign. Interestingly, PM2.5 concentrations in micro-environments varied significantly in intra-urban areas. These local PM2.5 variations can be effectively revealed by crowdsourcing sampling rather than national air quality monitoring sites. The selection of models for fine-scale PM2.5 mapping should be adjusted with the changing sampling and pollution circumstances.