Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 21
Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5415-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-5415-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 21
Research article
 | 
13 Nov 2023
Research article |  | 13 Nov 2023

Spectral analysis approach for assessing the accuracy of low-cost air quality sensor network data

Vijay Kumar, Dinushani Senarathna, Supraja Gurajala, William Olsen, Shantanu Sur, Sumona Mondal, and Suresh Dhaniyala

Viewed

Total article views: 1,256 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
937 272 47 1,256 93 42 36
  • HTML: 937
  • PDF: 272
  • XML: 47
  • Total: 1,256
  • Supplement: 93
  • BibTeX: 42
  • EndNote: 36
Views and downloads (calculated since 25 Apr 2023)
Cumulative views and downloads (calculated since 25 Apr 2023)

Viewed (geographical distribution)

Total article views: 1,256 (including HTML, PDF, and XML) Thereof 1,241 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
Low-cost sensors are becoming increasingly important in air quality monitoring due to their affordability and ease of deployment. While low-cost sensors have the potential to democratize air quality monitoring, their use must be accompanied by careful interpretation and validation of the data. Analysis of their long-term data record clearly shows that the reported data from low-cost sensors may not be equally sensitive to all emission sources, which can complicate policy-making.
Read more