Articles | Volume 13, issue 6
Research article
30 Jun 2020
Research article |  | 30 Jun 2020

Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness

Paul A. Solomon, Dena Vallano, Melissa Lunden, Brian LaFranchi, Charles L. Blanchard, and Stephanie L. Shaw


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 Charles Blanchard on behalf of the Authors (23 Apr 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Apr 2020) by Andrew Sayer
RR by Anonymous Referee #2 (08 May 2020)
ED: Publish as is (08 May 2020) by Andrew Sayer
Short summary
Analyzing street-level air pollutants (2016–2017), this assessment indicates that mobile measurement is precise and accurate (5 % to 25 % bias) relative to regulatory sites, with higher spatial resolution. Collocated sensor measurements in California showed differences less than 20 %, suggesting that greater differences represent spatial variability. Mobile data confirm regulatory-site spatial representation and that pollutant levels can also be 6 to 8 times higher just blocks apart.