Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5415-2023
https://doi.org/10.5194/amt-16-5415-2023
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

Data sets

Airquality-Spectral-Analysis vijaykumar18 https://github.com/vijaykumar18/Airquality-Spectral-Analysis

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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.