Articles | Volume 11, issue 8
https://doi.org/10.5194/amt-11-4823-2018
https://doi.org/10.5194/amt-11-4823-2018
Research article
 | 
22 Aug 2018
Research article |  | 22 Aug 2018

Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments

Tongshu Zheng, Michael H. Bergin, Karoline K. Johnson, Sachchida N. Tripathi, Shilpa Shirodkar, Matthew S. Landis, Ronak Sutaria, and David E. Carlson

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Revised manuscript accepted for AMT
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Cited articles

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Breen, M. S., Long, T. C., Schultz, B. D., Williams, R. W., Richmond-Bryant, J., Breen, M., Langstaff, J. E., Devlin, R. B., Schneider, A., Burke, J. M., Batterman, S. A., and Meng, Q. Y.: Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM 2.5 in Central North Carolina, Environ. Sci. Technol., 49, 14184–14194, https://doi.org/10.1021/acs.est.5b02765, 2015. 
Chakrabarti, B., Fine, P. M., Delfino, R., and Sioutas, C.: Performance evaluation of the active-flow personal DataRAM PM2.5 mass monitor (Thermo Anderson pDR-1200) designed for continuous personal exposure measurements, Atmos. Environ., 38, 3329–3340, https://doi.org/10.1016/j.atmosenv.2004.03.007, 2004. 
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Short summary
Low-cost particulate matter sensors are promising tools for supplementing existing air quality monitoring networks but their performance under field conditions is not well understood. We characterized how well Plantower PMS3003 sensors measure PM2.5 in a wide range of ambient conditions against different reference sensors. When a more precise reference method is used for calibration and proper RH corrections are made, our work suggests PMS3003's can measure PM2.5 within ~ 10 % of ambient values.