Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3575-2017
https://doi.org/10.5194/amt-10-3575-2017
Research article
 | 
29 Sep 2017
Research article |  | 29 Sep 2017

Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements

Eben S. Cross, Leah R. Williams, David K. Lewis, Gregory R. Magoon, Timothy B. Onasch, Michael L. Kaminsky, Douglas R. Worsnop, and John T. Jayne

Viewed

Total article views: 9,414 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,392 4,809 213 9,414 790 151 175
  • HTML: 4,392
  • PDF: 4,809
  • XML: 213
  • Total: 9,414
  • Supplement: 790
  • BibTeX: 151
  • EndNote: 175
Views and downloads (calculated since 05 May 2017)
Cumulative views and downloads (calculated since 05 May 2017)

Viewed (geographical distribution)

Total article views: 9,414 (including HTML, PDF, and XML) Thereof 8,942 with geography defined and 472 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 Oct 2024
Download
Short summary
Low-cost air quality sensor technologies offer new opportunities for fast and distributed measurements of air pollution, but a persistent characterization gap remains when it comes to evaluating sensor performance under realistic environmental sampling conditions. We present results from a newly developed integrated AQ-sensor system (ARISense) and demonstrate the utility of using high-dimensional model representation to improve the conversion of raw sensor signal to ambient concentration.