Articles | Volume 17, issue 9
https://doi.org/10.5194/amt-17-2991-2024
© Author(s) 2024. 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-17-2991-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2024
Research article |
| 17 May 2024
| 17 May 2024
Mobile air quality monitoring and comparison to fixed monitoring sites for instrument performance assessment
Andrew R. Whitehill
CORRESPONDING AUTHOR
Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Melissa Lunden
Aclima, Inc., San Leandro, CA 24577, USA
Brian LaFranchi
Aclima, Inc., San Leandro, CA 24577, USA
Surender Kaushik
Center for Environmental Measurement and Modeling, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC 27711, USA
Paul A. Solomon
Aclima, Inc., San Leandro, CA 24577, USA
formerly at: Office of Research and Development, United States Environmental Protection Agency, Las Vegas, NV 89919, USA
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Cited
16 citations as recorded by crossref.
- Immersive, Secure, and Collaborative Air Quality Monitoring J. Marinho & N. Cid Martins https://doi.org/10.3390/computers14060231
- A Comparative Evaluation of LSTM and Bidirectional LSTM Architectures for Nitrogen Oxide Forecasting in Air Quality Monitoring M. Ali et al. https://doi.org/10.66279/9c0e5874
- Assessing the climate and environmental benefits of new urban district development using mobile monitoring and gradient boosting decision trees L. Han et al. https://doi.org/10.1016/j.uclim.2026.102953
- Design, Deployment, and Field Evaluation of a Low-Cost IoT-Based Monitoring System for Urban Particulate Matter: A Winter–Spring Campaign in Almaty, Kazakhstan D. Nurseitov et al. https://doi.org/10.3390/info17070642
- Evaluating the Concentration of Air Pollutants in Different Land-Use Patterns in Nairobi M. Nyanchoka et al. https://doi.org/10.4236/ojap.2026.152004
- Analysis of Thermal Comfort in Single-Story Courtyard Vernacular Dwellings in Rural China: Passive Design Strategies for Adapting to the Climate C. Yang & A. Misni https://doi.org/10.3390/buildings15213964
- A review of extreme air pollution measurement and modeling techniques with applications K. Rautela et al. https://doi.org/10.1016/j.rser.2026.117178
- Comparing Short-Term Volatile Organic Compound Measurements in Fenceline Environments Using Multiple Mobile Air Monitoring Platforms and Methods J. Coughlin et al. https://doi.org/10.1021/acsestair.4c00169
- Design, operation and characterization of a mobile laboratory for hyperlocal atmospheric research S. Cliff et al. https://doi.org/10.5194/amt-19-4201-2026
- Optimal Deployment of Movable Sensors for Air Quality Monitoring S. Maurya et al. https://doi.org/10.1061/JITSE4.ISENG-2669
- Mobile air quality monitoring station - a solution for better pollution control S. Lipiński et al. https://doi.org/10.31648/ts.11507
- Mapping street-level air pollution: One year of mobile monitoring in disadvantaged communities across New York State J. Marto et al. https://doi.org/10.1080/10962247.2025.2547638
- Spatial clustering in air quality data accuracy: assessment of low-cost sensors in Lisbon using a novel correlation-distance index S. Ataee et al. https://doi.org/10.1007/s11869-026-01882-0
- Remote-sensing technologies for air pollution monitoring in the USA: a comprehensive review S. Sapkota et al. https://doi.org/10.1007/s10661-026-15439-2
- Artificial intelligence and machine learning models with wireless sensors for air quality prediction and pollution control: A comprehensive review F. Nishat et al. https://doi.org/10.26634/jwcn.14.1.22539
- Mobile urban sensing: Spatio-temporal observability analysis and optimization C. Colarusso et al. https://doi.org/10.1016/j.iot.2026.101907
16 citations as recorded by crossref.
- Immersive, Secure, and Collaborative Air Quality Monitoring J. Marinho & N. Cid Martins https://doi.org/10.3390/computers14060231
- A Comparative Evaluation of LSTM and Bidirectional LSTM Architectures for Nitrogen Oxide Forecasting in Air Quality Monitoring M. Ali et al. https://doi.org/10.66279/9c0e5874
- Assessing the climate and environmental benefits of new urban district development using mobile monitoring and gradient boosting decision trees L. Han et al. https://doi.org/10.1016/j.uclim.2026.102953
- Design, Deployment, and Field Evaluation of a Low-Cost IoT-Based Monitoring System for Urban Particulate Matter: A Winter–Spring Campaign in Almaty, Kazakhstan D. Nurseitov et al. https://doi.org/10.3390/info17070642
- Evaluating the Concentration of Air Pollutants in Different Land-Use Patterns in Nairobi M. Nyanchoka et al. https://doi.org/10.4236/ojap.2026.152004
- Analysis of Thermal Comfort in Single-Story Courtyard Vernacular Dwellings in Rural China: Passive Design Strategies for Adapting to the Climate C. Yang & A. Misni https://doi.org/10.3390/buildings15213964
- A review of extreme air pollution measurement and modeling techniques with applications K. Rautela et al. https://doi.org/10.1016/j.rser.2026.117178
- Comparing Short-Term Volatile Organic Compound Measurements in Fenceline Environments Using Multiple Mobile Air Monitoring Platforms and Methods J. Coughlin et al. https://doi.org/10.1021/acsestair.4c00169
- Design, operation and characterization of a mobile laboratory for hyperlocal atmospheric research S. Cliff et al. https://doi.org/10.5194/amt-19-4201-2026
- Optimal Deployment of Movable Sensors for Air Quality Monitoring S. Maurya et al. https://doi.org/10.1061/JITSE4.ISENG-2669
- Mobile air quality monitoring station - a solution for better pollution control S. Lipiński et al. https://doi.org/10.31648/ts.11507
- Mapping street-level air pollution: One year of mobile monitoring in disadvantaged communities across New York State J. Marto et al. https://doi.org/10.1080/10962247.2025.2547638
- Spatial clustering in air quality data accuracy: assessment of low-cost sensors in Lisbon using a novel correlation-distance index S. Ataee et al. https://doi.org/10.1007/s11869-026-01882-0
- Remote-sensing technologies for air pollution monitoring in the USA: a comprehensive review S. Sapkota et al. https://doi.org/10.1007/s10661-026-15439-2
- Artificial intelligence and machine learning models with wireless sensors for air quality prediction and pollution control: A comprehensive review F. Nishat et al. https://doi.org/10.26634/jwcn.14.1.22539
- Mobile urban sensing: Spatio-temporal observability analysis and optimization C. Colarusso et al. https://doi.org/10.1016/j.iot.2026.101907
Saved (final revised paper)
Latest update: 27 Jul 2026
Short summary
We present an analysis from two large-scale mobile air quality monitoring campaigns in Colorado and California. We compare mobile measurements of air quality to measurements from nearby regulatory sites. The goal of this paper is to explore how fixed-site measurements (such as regulatory site measurements) can be used for ongoing instrument performance assessment of mobile monitoring platforms over extended measurement campaigns.
We present an analysis from two large-scale mobile air quality monitoring campaigns in Colorado...
