Articles | Volume 13, issue 6
https://doi.org/10.5194/amt-13-3277-2020
https://doi.org/10.5194/amt-13-3277-2020
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

Viewed

Total article views: 3,075 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,251 760 64 3,075 312 51 53
  • HTML: 2,251
  • PDF: 760
  • XML: 64
  • Total: 3,075
  • Supplement: 312
  • BibTeX: 51
  • EndNote: 53
Views and downloads (calculated since 28 Jan 2020)
Cumulative views and downloads (calculated since 28 Jan 2020)

Viewed (geographical distribution)

Total article views: 3,075 (including HTML, PDF, and XML) Thereof 2,898 with geography defined and 177 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Mar 2024
Download
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.