Articles | Volume 18, issue 17
https://doi.org/10.5194/amt-18-4357-2025
https://doi.org/10.5194/amt-18-4357-2025
Research article
 | 
10 Sep 2025
Research article |  | 10 Sep 2025

Improving raw readings from low-cost ozone sensors using artificial intelligence for air quality monitoring

Guillem Montalban-Faet, Eric Meneses-Albala, Santiago Felici-Castell, Juan J. Perez-Solano, and Jaume Segura-Garcia

Data sets

Air Quality Data from Regulatory AQMS and Low-Cost Sensors in Bulevar Sur, Valencia (July 08 - November 18, 2023) G. Montalbán Faet et al. https://doi.org/10.5281/zenodo.17018565

Air Quality Data from Regulatory AQMS and Low-Cost Sensors in Molí del Sol, Valencia (May 31 2024 - January 23, 2025) G. Montalbán Faet et al. https://doi.org/10.5281/zenodo.17044034

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Short summary
The World Health Organization (WHO) warns of ground-level ozone problems in urban areas and recommends increased monitoring. This paper shows that low-cost sensors coupled with artificial intelligence are an excellent alternative.
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