Articles | Volume 11, issue 3
https://doi.org/10.5194/amt-11-1777-2018
© Author(s) 2018. 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-11-1777-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Mar 2018
Research article |
| 28 Mar 2018
| 28 Mar 2018
Intra-urban spatial variability of surface ozone in Riverside, CA: viability and validation of low-cost sensors
Kira Sadighi
CORRESPONDING AUTHOR
Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, 1111 Engineering Drive, Boulder, CO 80309, USA
Evan Coffey
Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, 1111 Engineering Drive, Boulder, CO 80309, USA
Andrea Polidori
South Coast Air Quality Management District, Air Quality Sensor Performance Evaluation Center, 21865 Copley Drive, Diamond Bar, CA 91765-4178, USA
Brandon Feenstra
South Coast Air Quality Management District, Air Quality Sensor Performance Evaluation Center, 21865 Copley Drive, Diamond Bar, CA 91765-4178, USA
Qin Lv
Department of Computer Science, University of Colorado Boulder, 430 UCB, 1111 Engineering Drive, Boulder, CO 80309, USA
Daven K. Henze
Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, 1111 Engineering Drive, Boulder, CO 80309, USA
Michael Hannigan
Department of Mechanical Engineering, University of Colorado Boulder, 427 UCB, 1111 Engineering Drive, Boulder, CO 80309, USA
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- Using A Low-Cost Sensor Array and Machine Learning Techniques to Detect Complex Pollutant Mixtures and Identify Likely Sources J. Thorson et al. 10.3390/s19173723
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- Improving data reliability: A quality control practice for low-cost PM2.5 sensor network X. Qiao et al. 10.1016/j.scitotenv.2021.146381
- Reliable data from low cost ozone sensors in a hierarchical network G. Miskell et al. 10.1016/j.atmosenv.2019.116870
- Review and analysis of personal-ambient ozone measurements C. Kim & A. Rohr 10.1080/10962247.2021.1942318
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- Field and laboratory performance evaluations of 28 gas-phase air quality sensors by the AQ-SPEC program A. Collier-Oxandale et al. 10.1016/j.atmosenv.2019.117092
- Development of a Network of Accurate Ozone Sensing Nodes for Parallel Monitoring in a Site Relocation Study B. Feenstra et al. 10.3390/s20010016
- Does ozone inhalation cause adverse metabolic effects in humans? A systematic review J. LaKind et al. 10.1080/10408444.2021.1965086
- Applications and Limitations of Quantifying Speciated and Source-Apportioned VOCs with Metal Oxide Sensors K. Okorn & M. Hannigan 10.3390/atmos12111383
- Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring C. Malings et al. 10.5194/amt-12-903-2019
- The Application of Mobile Sensing to Detect CO and NO2 Emission Spikes in Polluted Cities S. Sara et al. 10.1109/ACCESS.2023.3297874
- Analysis of an ozone episode in the Greater Bay Area based on low-cost sensor network W. Chen et al. 10.1016/j.atmosenv.2024.120367
- Hierarchical network design for nitrogen dioxide measurement in urban environments L. Weissert et al. 10.1016/j.atmosenv.2020.117428
- Using low-cost sensors to monitor indoor, outdoor, and personal ozone concentrations in Beijing, China M. Liu et al. 10.1039/C9EM00377K
- Kitchen Area Air Quality Measurements in Northern Ghana: Evaluating the Performance of a Low-Cost Particulate Sensor within a Household Energy Study E. Coffey et al. 10.3390/atmos10070400
- Relevance of Drift Components and Unit-to-Unit Variability in the Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring G. Tancev 10.3390/s21093298
- Characterizing methane and total non-methane hydrocarbon levels in Los Angeles communities with oil and gas facilities using air quality monitors K. Okorn et al. 10.1016/j.scitotenv.2021.146194
- Assessing a low-cost methane sensor quantification system for use in complex rural and urban environments A. Collier-Oxandale et al. 10.5194/amt-11-3569-2018
- Machine learning calibration of low-cost NO<sub>2</sub> and PM<sub>10</sub> sensors: non-linear algorithms and their impact on site transferability P. Nowack et al. 10.5194/amt-14-5637-2021
- Evaluating and improving the reliability of gas-phase sensor system calibrations across new locations for ambient measurements and personal exposure monitoring S. Vikram et al. 10.5194/amt-12-4211-2019
- Occurrence and Coupling of Heat and Ozone Events and Their Relation to Mortality Rates in Berlin, Germany, between 2000 and 2014 A. Krug et al. 10.3390/atmos10060348
- Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site B. Feenstra et al. 10.1016/j.atmosenv.2019.116946
- Improving Air Pollutant Metal Oxide Sensor Quantification Practices through: An Exploration of Sensor Signal Normalization, Multi-Sensor and Universal Calibration Model Generation, and Physical Factors Such as Co-Location Duration and Sensor Age K. Okorn & M. Hannigan 10.3390/atmos12050645
3 citations as recorded by crossref.
- Calibration and assessment of electrochemical air quality sensors by co-location with regulatory-grade instruments D. Hagan et al. 10.5194/amt-11-315-2018
- The BErkeley Atmospheric CO<sub>2</sub> Observation Network: field calibration and evaluation of low-cost air quality sensors J. Kim et al. 10.5194/amt-11-1937-2018
- Comparing Building and Neighborhood-Scale Variability of CO2 and O3 to Inform Deployment Considerations for Low-Cost Sensor System Use A. Collier-Oxandale et al. 10.3390/s18051349
Latest update: 03 Nov 2024
Short summary
Ground-level ozone has negative human health impacts. In the summer of 2015, 13 low-cost sensor monitors were deployed to several neighborhoods around Riverside, California. There were significant spatial differences between monitors. This is important because it means that ozone in certain places may be higher than what EPA monitors report for an area, which is pertinent for residents of those communities. This research helps inform the limitations and advantages of low-cost sensor networks.
Ground-level ozone has negative human health impacts. In the summer of 2015, 13 low-cost sensor...
