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AMT | Articles | Volume 12, issue 2
Atmos. Meas. Tech., 12, 903–920, 2019
https://doi.org/10.5194/amt-12-903-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 903–920, 2019
https://doi.org/10.5194/amt-12-903-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 11 Feb 2019

Research article | 11 Feb 2019

Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring

Carl Malings et al.

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Cited articles

Afshar-Mohajer, N., Zuidema, C., Sousan, S., Hallett, L., Tatum, M., Rule, A. M., Thomas, G., Peters, T. M., and Koehler, K.: Evaluation of low-cost electro-chemical sensors for environmental monitoring of ozone, nitrogen dioxide, and carbon monoxide, J. Occup. Environ. Hyg., 15, 87–98, https://doi.org/10.1080/15459624.2017.1388918, 2018. 
Aleksander, I. and Morton, H.: An introduction to neural computing, 2nd Edn., International Thomson Computer Press, London, 1995. 
Camalier, L., Eberly, S., Miller, J., and Papp, M.: Guideline on the Meaning and the Use of Precision and Bias Data Required by 40 CFR Part 58 Appendix A, U.S. Environmental Protection Agency, available at: https://www3.epa.gov/ttn/amtic/files/ambient/monitorstrat/precursor/07workshopmeaning.pdf (last access: 5 February 2019), 2007. 
Castell, N., Dauge, F. R., Schneider, P., Vogt, M., Lerner, U., Fishbain, B., Broday, D., and Bartonova, A.: Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?, Environ. Int., 99, 293–302, https://doi.org/10.1016/j.envint.2016.12.007, 2017. 
Cross, E. S., Williams, L. R., Lewis, D. K., Magoon, G. R., Onasch, T. B., Kaminsky, M. L., Worsnop, D. R., and Jayne, J. T.: Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements, Atmos. Meas. Tech., 10, 3575–3588, https://doi.org/10.5194/amt-10-3575-2017, 2017. 
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This paper compares several methods for calibrating data from low-cost air quality monitors to reflect the concentrations of various gaseous pollutants in the atmosphere, identifying the best-performing approaches. With these calibration methods, such monitors can be used to gather information on air quality at a higher spatial resolution than is possible using traditional technologies and can be deployed to areas (e.g. developing countries) where there are no existing monitor networks.
This paper compares several methods for calibrating data from low-cost air quality monitors to...
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