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

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

doi:https://doi.org/10.5194/amt-9-5281-2016

Articles | Volume 9, issue 11

https://doi.org/10.5194/amt-9-5281-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-5281-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 11

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

Supplement

https://doi.org/10.5194/amt-9-5281-2016-supplement

Data sets

CAIRSENSE project data sets EPA https://edg.epa.gov/

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.