Articles | Volume 9, issue 11
https://doi.org/10.5194/amt-9-5281-2016
https://doi.org/10.5194/amt-9-5281-2016
Research article
 | 
01 Nov 2016
Research article |  | 01 Nov 2016

Community Air Sensor Network (CAIRSENSE) project: evaluation of low-cost sensor performance in a suburban environment in the southeastern United States

Wan Jiao, Gayle Hagler, Ronald Williams, Robert Sharpe, Ryan Brown, Daniel Garver, Robert Judge, Motria Caudill, Joshua Rickard, Michael Davis, Lewis Weinstock, Susan Zimmer-Dauphinee, and Ken Buckley

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Cited articles

Beckerman, B., Jerrett, M., Brook, J. R., Verma, D. K., Arain, M. A., and Finkelstein, M. M.: Correlation of nitrogen dioxide with other traffic pollutants near a major expressway, Atmos. Environ., 42, 275–290, https://doi.org/10.1016/j.atmosenv.2007.09.042, 2008.
EPA: CAIRSENSE project data sets, available at: https://edg.epa.gov/, last access: 21 October 2016.
Gao, M. L., Cao, J. J., and Seto, E.: A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China, Environ. Pollut., 199, 56–65, https://doi.org/10.1016/j.envpol.2015.01.013, 2015.
Hall, E. S., Kaushik, S. M., Vanderpool, R. W., Duvall, R. M., Beaver, M. R., Long, R. W., and Solomon, P. A.: Integrating Sensor Monitoring Technology into the Current Air Pollution Regulatory Support Paradigm: Practical Considerations, American Journal of Environmental Engineering, 4, 147–154, 2014.
Heimann, I., Bright, V. B., McLeod, M. W., Mead, M. I., Popoola, O. A. M., Stewart, G. B., and Jones, R. L.: Source attribution of air pollution by spatial scale separation using high spatial density networks of low cost air quality sensors, Atmos. Environ., 113, 10–19, https://doi.org/10.1016/j.atmosenv.2015.04.057, 2015.
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Short summary
Emerging lower cost and miniaturized sensors have potential to increase spatial and temporal information on air pollution. To evaluate these technologies, air quality sensor devices were collocated with regulatory-grade instruments in a suburban outdoor setting in the southeastern United States. Additionally, a multi-node sensor network, with several nodes solar-powered and wirelessly transmitting data, was established to test the feasibility of high density, continuous air monitoring.