ACS Publications. Most Trusted. Most Cited. Most Read
Investigating the Sources of Urban Air Pollution Using Low-Cost Air Quality Sensors at an Urban Atlanta Site
My Activity

Figure 1Loading Img
    Anthropogenic Impacts on the Atmosphere

    Investigating the Sources of Urban Air Pollution Using Low-Cost Air Quality Sensors at an Urban Atlanta Site
    Click to copy article linkArticle link copied!

    • Laura Hyesung Yang
      Laura Hyesung Yang
      School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
    • David H. Hagan
      David H. Hagan
      QuantAQ, Inc., Somerville, Massachusetts 02143, United States
    • Jean C. Rivera-Rios
      Jean C. Rivera-Rios
      School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
    • Makoto M. Kelp
      Makoto M. Kelp
      Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
    • Eben S. Cross
      Eben S. Cross
      QuantAQ, Inc., Somerville, Massachusetts 02143, United States
    • Yuyang Peng
      Yuyang Peng
      School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
      More by Yuyang Peng
    • Jennifer Kaiser
      Jennifer Kaiser
      School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
      School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
    • Leah R. Williams
      Leah R. Williams
      Aerodyne Research, Inc., Billerica, Massachusetts 01821, United States
    • Philip L. Croteau
      Philip L. Croteau
      Aerodyne Research, Inc., Billerica, Massachusetts 01821, United States
    • John T. Jayne
      John T. Jayne
      Aerodyne Research, Inc., Billerica, Massachusetts 01821, United States
    • Nga Lee Ng*
      Nga Lee Ng
      School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
      School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
      School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
      *Email: [email protected]
      More by Nga Lee Ng
    Other Access OptionsSupporting Information (1)

    Environmental Science & Technology

    Cite this: Environ. Sci. Technol. 2022, 56, 11, 7063–7073
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.est.1c07005
    Published March 31, 2022
    Copyright © 2022 American Chemical Society

    Abstract

    Click to copy section linkSection link copied!
    Abstract Image

    Advances in low-cost sensors (LCS) for monitoring air quality have opened new opportunities to characterize air quality in finer spatial and temporal resolutions. In this study, we deployed LCS that measure both gas (CO, NO, NO2, and O3) and particle concentrations and co-located research-grade instruments in Atlanta, GA, to investigate the capability of LCS in resolving air pollutant sources using non-negative matrix factorization (NMF) in a moderately polluted urban area. We provide a comparison of applying the NMF technique to both normalized and non-normalized data sets. We identify four factors with different temporal trends and properties for both normalized and non-normalized data sets. Both normalized and non-normalized LCS data sets can resolve primary organic aerosol (POA) factors identified from research-grade instruments. However, applying normalization provides factors with more diverse compositions and can resolve secondary organic aerosol (SOA). Results from this study demonstrate that LCS not only can be used to provide basic mass concentration information but also can be used for in-depth source apportionment studies even in an urban setting with complex pollution mixtures and relatively low aerosol loadings.

    Copyright © 2022 American Chemical Society

    Read this article

    To access this article, please review the available access options below.

    Get instant access

    Purchase Access

    Read this article for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this article through your institution.

    Your institution does not have access to this content. Add or change your institution or let them know you’d like them to include access.

    Supporting Information

    Click to copy section linkSection link copied!

    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.est.1c07005.

    • Detailed information about the potential role of RH on OPC measurements, the aerosol composition measured by the ACSM instrument, the normalization method, diurnal profiles of species measured by LCS, LCS performance evaluation, the different number of factors resolved from the NMF technique using the non-normalized data set, the mathematical formulation of PMF and NMF techniques, and comprehensive correlation plots for non-normalized and normalized data sets (PDF)

    Terms & Conditions

    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

    Click to copy section linkSection link copied!

    This article is cited by 10 publications.

    1. Karoline K. Barkjohn, Andrea Clements, Corey Mocka, Colin Barrette, Ashley Bittner, Wyatt Champion, Brett Gantt, Elizabeth Good, Amara Holder, Berkley Hillis, Matthew S. Landis, Menaka Kumar, Megan MacDonald, Eben Thoma, Tim Dye, Jan-Michael Archer, Michael Bergin, Wilton Mui, Brandon Feenstra, Michael Ogletree, Christi Chester-Schroeder, Naomi Zimmerman. Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data. ACS ES&T Air 2024, 1 (10) , 1203-1214. https://doi.org/10.1021/acsestair.4c00125
    2. Daniel M. Westervelt, Paulson Kasereka Isevulambire, Rodriguez Yombo Phaka, Laura H. Yang, Garima Raheja, George Milly, Jean-Luc Balogije Selenge, Jean Pierre Mfuamba Mulumba, Dimitrios Bousiotis, Buenimio Lomami Djibi, V. Faye McNeill, Nga L. Ng, Francis Pope, Guillaume Kiyombo Mbela, Joel Nkiama Konde. Low-Cost Investigation into Sources of PM2.5 in Kinshasa, Democratic Republic of the Congo. ACS ES&T Air 2024, 1 (1) , 43-51. https://doi.org/10.1021/acsestair.3c00024
    3. Vikas Kumar, Manoranjan Sahu, Basudev Biswal, Jai Prakash, Shruti Choudhary, Ramesh Raliya, Tandeep S. Chadha, Jiaxi Fang, Pratim Biswas. Real-Time Source Apportionment of Particulate Matter from Low-Cost Particle Sensors Using Machine Learning. Aerosol Science and Engineering 2024, 3 https://doi.org/10.1007/s41810-024-00271-3
    4. Peizhi Wang, Qingsong Wang, Yuhuan Jia, Jingjin Ma, Chunying Wang, Liping Qiao, Qingyan Fu, Abdelwahid Mellouki, Hui Chen, Li Li. A Novel Apportionment Method Utilizing Particle Mass Size Distribution across Multiple Particle Size Ranges. Atmosphere 2024, 15 (8) , 955. https://doi.org/10.3390/atmos15080955
    5. Armita Kar, Mohammed Ahmed, Andrew A. May, Huyen T.K. Le. High spatio-temporal resolution predictions of PM2.5 using low-cost sensor data. Atmospheric Environment 2024, 326 , 120486. https://doi.org/10.1016/j.atmosenv.2024.120486
    6. Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, Basudev Biswal. Aerosol sources characterization and apportionment from low-cost particle sensors in an urban environment. Atmospheric Environment: X 2024, 22 , 100271. https://doi.org/10.1016/j.aeaoa.2024.100271
    7. Alina M McIntyre, Madeleine K Scammell, Patrick L Kinney, Kiran Khosla, Layne Benton, Roseann Bongiovanni, Jessica McCannon, Chad W Milando. Portable Air Cleaner Usage and Particulate Matter Exposure Reduction in an Environmental Justice Community: A Pilot Study. Environmental Health Insights 2024, 18 https://doi.org/10.1177/11786302241258587
    8. Kristen Okorn, Laura T. Iraci. An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations. Atmospheric Measurement Techniques 2024, 17 (21) , 6425-6457. https://doi.org/10.5194/amt-17-6425-2024
    9. Owain G. Rose, Dimitrios Bousiotis, Catrin Rathbone, Francis D. Pope, . Investigating Indoor Air Pollution Sources and Student’s Exposure Within School Classrooms: Using a Low‐Cost Sensor and Source Apportionment Approach. Indoor Air 2024, 2024 (1) https://doi.org/10.1155/2024/5544298
    10. Sabrina Westgate, Nga Lee Ng. Using in-situ CO2, PM1, PM2.5, and PM10 measurements to assess air change rates and indoor aerosol dynamics. Building and Environment 2022, 224 , 109559. https://doi.org/10.1016/j.buildenv.2022.109559

    Environmental Science & Technology

    Cite this: Environ. Sci. Technol. 2022, 56, 11, 7063–7073
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acs.est.1c07005
    Published March 31, 2022
    Copyright © 2022 American Chemical Society

    Article Views

    2565

    Altmetric

    -

    Citations

    Learn about these metrics

    Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.

    Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

    The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.