Articles | Volume 13, issue 11
https://doi.org/10.5194/amt-13-6343-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-6343-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Nov 2020
Research article |
| 26 Nov 2020
| 26 Nov 2020
Assessing the accuracy of low-cost optical particle sensors using a physics-based approach
David H. Hagan
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Massachusetts
Institute of Technology, Cambridge, MA 02139, USA
QuantAQ, Inc., Somerville, MA 02143, USA
Department of Civil and Environmental Engineering, Massachusetts
Institute of Technology, Cambridge, MA 02139, USA
Department of Chemical Engineering, Massachusetts Institute of
Technology, Cambridge, MA 02139, USA
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Short summary
Assessing the error of low-cost particulate matter (PM) sensors has been difficult as each empirical study presents unique limitations. Here, we present a new, open-sourced, physics-based model (opcsim) and use it to understand how the properties of different particle sensors alter their accuracy. We offer a summary of likely sources of error for different sensor types, environmental conditions, and particle classes and offer recommendations for the choice of optimal calibrant.
Assessing the error of low-cost particulate matter (PM) sensors has been difficult as each...
