Articles | Volume 12, issue 2
https://doi.org/10.5194/amt-12-903-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-903-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Feb 2019
Research article |
| 11 Feb 2019
| 11 Feb 2019
Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring
Center for Atmospheric Particle Studies, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
Rebecca Tanzer
Center for Atmospheric Particle Studies, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
Department of Mechanical Engineering, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
Aliaksei Hauryliuk
Center for Atmospheric Particle Studies, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
Sriniwasa P. N. Kumar
Center for Atmospheric Particle Studies, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
Naomi Zimmerman
Department of Mechanical Engineering, University of British Columbia,
Vancouver, British Columbia, V6T 1Z4, Canada
Levent B. Kara
Department of Mechanical Engineering, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
Albert A. Presto
Center for Atmospheric Particle Studies, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
Department of Mechanical Engineering, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
R. Subramanian
Center for Atmospheric Particle Studies, Carnegie Mellon University,
Pittsburgh, Pennsylvania, 15213, USA
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Short summary
This paper compares several methods for calibrating data from low-cost air quality monitors to reflect the concentrations of various gaseous pollutants in the atmosphere, identifying the best-performing approaches. With these calibration methods, such monitors can be used to gather information on air quality at a higher spatial resolution than is possible using traditional technologies and can be deployed to areas (e.g. developing countries) where there are no existing monitor networks.
This paper compares several methods for calibrating data from low-cost air quality monitors to...
