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Using Vehicles’ Rendezvous for In Situ Calibration of Instruments in Fleet Vehicle-Based Air Pollution Mobile Monitoring

  • Jianbang Xiang*
    Jianbang Xiang
    Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States
    *Phone: +1-206-518-8568. Email: [email protected]
  • Elena Austin
    Elena Austin
    Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States
    More by Elena Austin
  • Timothy Gould
    Timothy Gould
    Department of Civil & Environmental Engineering, University of Washington, Seattle, Washington 98195, United States
  • Timothy Larson
    Timothy Larson
    Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States
    Department of Civil & Environmental Engineering, University of Washington, Seattle, Washington 98195, United States
  • Michael Yost
    Michael Yost
    Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States
    More by Michael Yost
  • Jeffry Shirai
    Jeffry Shirai
    Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States
  • Yisi Liu
    Yisi Liu
    Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States
    More by Yisi Liu
  • Sukyong Yun
    Sukyong Yun
    Department of Civil & Environmental Engineering, University of Washington, Seattle, Washington 98195, United States
    More by Sukyong Yun
  • , and 
  • Edmund Seto
    Edmund Seto
    Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States
    More by Edmund Seto
Cite this: Environ. Sci. Technol. 2020, 54, 7, 4286–4294
Publication Date (Web):March 9, 2020
https://doi.org/10.1021/acs.est.0c00612
Copyright © 2020 American Chemical Society
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Supporting Info (1)»

Abstract

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This study examines the feasibility of the in situ calibration of instruments for fleet vehicle-based mobile monitoring of ultrafine particles (UFPs) and black carbon (BC) by comparing rendezvous vehicle measurements. Two vehicles with identical makes and models of UFP and BC monitors as well as GPS receivers were sampled within 140 m of each other for 2 h in total during winter in Seattle, Washington. To identify an optimal intervehicle distance for rendezvous calibration, 6 different buffers within 0–140 m for UFP monitors and 5 different buffers within 0–90 m for BC monitors were chosen, and the results of calibration were compared against a reference scenario, which consisted of mobile colocation measurements with both sets of the UFP and BC monitors deployed in one of the vehicles. Results indicate that the optimal distances for rendezvous calibration are 10–80 m for UFP monitors and 0–30 m for BC monitors. In comparison with the mobile colocation calibration, the rendezvous calibration shows a normalized root mean squared deviation of 6–14% and a normalized mean absolute deviation of 4–8% for these monitors. Criteria for applying a rendezvous calibration approach are presented, and an extension of this approach to an instrumented fleet of mobile monitoring vehicles is discussed.

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The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.est.0c00612.

  • Quality assurance, statistic descriptions of pollutant levels, statistic descriptions of accuracy of buffer-specific rendezvous calibration, summary of linear regression models, statistic descriptions of accuracy of optimal-distance rendezvous calibration, sensitivity analysis, rendezvous calibration vs no rendezvous calibration, statistic descriptions of intervehicle altitude differences, overview of methodology, experimental setup, scatter plot for the original scenario, scatter plot for the simulated scenario, illustration of rendezvous calibration of six fleet vehicle-based air pollution mobile monitoring (PDF)

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Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html.

Cited By

This article is cited by 8 publications.

  1. Elena Austin, Jianbang Xiang, Timothy R. Gould, Jeffry H. Shirai, Sukyong Yun, Michael G. Yost, Timothy V. Larson, Edmund Seto. Distinct Ultrafine Particle Profiles Associated with Aircraft and Roadway Traffic. Environmental Science & Technology 2021, 55 (5) , 2847-2858. https://doi.org/10.1021/acs.est.0c05933
  2. Youwen Sun, Ting Yang, Huaqiao Gui, Xin Li, Weigang Wang, Jun Duan, Shushuai Mao, Hao Yin, Bin Zhou, Jianlei Lang, Haijin Zhou, Cheng Liu, Pinhua Xie. Atmospheric environment monitoring technology and equipment in China: A review and outlook. Journal of Environmental Sciences 2022, 42 https://doi.org/10.1016/j.jes.2022.01.014
  3. Jianbang Xiang, Jiayuan Hao, Elena Austin, Jeff Shirai, Edmund Seto. Characterization of cooking-related ultrafine particles in a US residence and impacts of various intervention strategies. Science of The Total Environment 2021, 798 , 149236. https://doi.org/10.1016/j.scitotenv.2021.149236
  4. Bin Zhou, Sanbao Zhang, Ruibin Xue, Jiayi Li, Shanshan Wang. A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring. Journal of Environmental Sciences 2021, 6 https://doi.org/10.1016/j.jes.2021.12.008
  5. Ching-Hsuan Huang, Jiayang He, Elena Austin, Edmund Seto, Igor Novosselov, . Assessing the value of complex refractive index and particle density for calibration of low-cost particle matter sensor for size-resolved particle count and PM2.5 measurements. PLOS ONE 2021, 16 (11) , e0259745. https://doi.org/10.1371/journal.pone.0259745
  6. Jianbang Xiang, Jiayuan Hao, Elena Austin, Jeff Shirai, Edmund Seto. Residential cooking-related PM2.5: Spatial-temporal variations under various intervention scenarios. Building and Environment 2021, 201 , 108002. https://doi.org/10.1016/j.buildenv.2021.108002
  7. Ching-Hsuan Huang, Jianbang Xiang, Elena Austin, Jeff Shirai, Yisi Liu, Christopher Simpson, Catherine J. Karr, Amber L. Fyfe-Johnson, Thomas Kronborg Larsen, Edmund Seto. Impacts of using auto-mode portable air cleaner on indoor PM2.5 levels: An intervention study. Building and Environment 2021, 188 , 107444. https://doi.org/10.1016/j.buildenv.2020.107444
  8. Antigoni Faka, Konstantinos Tserpes, Christos Chalkias. Environmental sensing. 2021,,, 199-220. https://doi.org/10.1016/B978-0-12-818617-6.00013-5

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