Wasim Javed This email address is being protected from spambots. You need JavaScript enabled to view it., Bing Guo

Mechanical Engineering Program, Texas A&M University at Qatar, Doha, Qatar


Received: November 16, 2020
Revised: January 21, 2021
Accepted: February 16, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.4209/aaqr.200631  


Cite this article:

Javed, W., Guo, B. (2021). Performance Evaluation of Real-time DustTrak Monitors for Outdoor Particulate Mass Measurements in a Desert Environment. Aerosol Air Qual. Res. 21, 200631. https://doi.org/10.4209/aaqr.200631


HIGHLIGHTS

  • Performance of DustTrak DRX® monitor was evaluated against gravimetric method.
  • DustTrak overestimated PM2.5 and underestimated PM10 concentrations
  • The humidity-adjusted correction outperforms the constant-proportion correction.
  • DustTrak sensor response depends on humidity, particle size and composition.
  • Appropriate correction factor for environment and particles of interest is needed.
 

ABSTRACT


Using the filter-based gravimetric technique as the reference method, this study aimed to evaluate the performance of the TSI DustTrak DRX® aerosol monitor, which offers real-time measurements, and establish suitable factors for bias correction in real-world operating conditions. Overall, the DustTrak demonstrated high precision in tracking the PM2.5 and PM10 mass concentrations; however, the measurements significantly deviated from those obtained via the reference method, showing an overestimation by a factor of ~2 for the fine fraction and an underestimation by ~20% for the coarse one. Applying a correction factor based on a constant proportion produced an acceptable level of accuracy, but utilizing one adjusted for humidity achieved even better results. These factors can also be used to enhance the accuracy of DustTrak measurements under comparable conditions, i.e., for aerosol with similar properties in similar environments. Additionally, the proposed approaches can serve as a model for field calibration and measurement data correction in other studies employing various types of real-time optical monitors.


Keywords: Correction factor, Accuracy, Precision, Relative humidity, Particle composition




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