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AMT | Articles | Volume 11, issue 8
Atmos. Meas. Tech., 11, 4823–4846, 2018
https://doi.org/10.5194/amt-11-4823-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 4823–4846, 2018
https://doi.org/10.5194/amt-11-4823-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.
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Revised manuscript accepted for AMT
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Cited articles  
Austin, E., Novosselov, I., Seto, E., and Yost, M. G.: Laboratory evaluation of the Shinyei PPD42NS low-cost particulate matter sensor, PLoS One, 10, 1–17, https://doi.org/10.1371/journal.pone.0137789, 2015. 
Bergin, M. H., Tripathi, S. N., Jai Devi, J., Gupta, T., Mckenzie, M., Rana, K. S., Shafer, M. M., Villalobos, A. M., and Schauer, J. J.: The discoloration of the Taj Mahal due to particulate carbon and dust deposition, Environ. Sci. Technol., 49, 808–812, https://doi.org/10.1021/es504005q, 2015. 
Bran, S. H. and Srivastava, R.: Investigation of PM2.5 mass concentration over India using a regional climate model, Environ. Pollut., 224, 484–493, https://doi.org/10.1016/j.envpol.2017.02.030, 2017. 
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.
Low-cost particulate matter sensors are promising tools for supplementing existing air quality...
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