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Volume 11, issue 8 | Copyright
Atmos. Meas. Tech., 11, 4605-4615, 2018
https://doi.org/10.5194/amt-11-4605-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Aug 2018

Research article | 08 Aug 2018

Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado

Stephen Feinberg1,2, Ron Williams2, Gayle S. W. Hagler2, Joshua Rickard3, Ryan Brown4, Daniel Garver4, Greg Harshfield5, Phillip Stauffer5, Erick Mattson5, Robert Judge6, and Sam Garvey7 Stephen Feinberg et al.
  • 1Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830, USA
  • 2U.S. Environmental Protection Agency (EPA), Office of Research and Development, Research Triangle Park, NC 27711, USA
  • 3U.S. EPA Region 8, Denver, CO 80202, USA
  • 4U.S. EPA Region 4, Atlanta, GA 30303, USA
  • 5State of Colorado Department of Public Health and Environment (CDPHE), Denver, CO, USA
  • 6U.S. EPA Region 1, Boston, MA 02109, USA
  • 7Jacobs Technology, Inc, Research Triangle Park, NC 27709, USA

Abstract. Air pollution sensors are quickly proliferating for use in a wide variety of applications, with a low price point that supports use in high-density networks, citizen science, and individual consumer use. This emerging technology motivates the assessment under real-world conditions, including varying pollution levels and environmental conditions. A seven-month, systematic field evaluation of low-cost air pollution sensors was performed in Denver, Colorado, over 2015–2016; the location was chosen to evaluate the sensors in a high-altitude, cool, and dry climate. A suite of particulate matter (PM), ozone (O3), and nitrogen dioxide (NO2) sensors were deployed in triplicate and were collocated with federal equivalent method (FEM) monitors at an urban regulatory site. Sensors were evaluated for their data completeness, correlation with reference monitors, and ability to reproduce trends in pollution data, such as daily concentration values and wind-direction patterns. Most sensors showed high data completeness when data loggers were functioning properly. The sensors displayed a range of correlations with reference instruments, from poor to very high (e.g., hourly-average PM Pearson correlations with reference measurements varied from 0.01 to 0.86). Some sensors showed a change in response to laboratory audits/testing from before the sampling campaign to afterwards, such as Aeroqual, where the O3 response slope changed from about 1.2 to 0.6. Some PM sensors measured wind-direction and time-of-day trends similar to those measured by reference monitors, while others did not. This study showed different results for sensor performance than previous studies performed by the U.S. EPA and others, which could be due to different geographic location, meteorology, and aerosol properties. These results imply that continued field testing is necessary to understand emerging air sensing technology.

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Air pollution sensors are quickly proliferating for use in a wide variety of applications, with a low price point that supports use in high-density networks, citizen science, and individual consumer use. We evaluated the performance of particulate matter, ozone, and nitrogen dioxide sensors in Denver, Colorado, over a period of seven months. We found that these sensors could vary greatly in their performance, but some were able to replicate trends measured by traditional instruments.
Air pollution sensors are quickly proliferating for use in a wide variety of applications, with...
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