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.
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
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.
