IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i7p1252-d220869.html
   My bibliography  Save this article

Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps

Author

Listed:
  • Faraz Enayati Ahangar

    (Department of Mechanical Engineering, University of California, Riverside, CA 92521, USA)

  • Frank R. Freedman

    (Department of Meteorology and Climate Science, San Jose State University, San Jose, CA 95192, USA)

  • Akula Venkatram

    (Department of Mechanical Engineering, University of California, Riverside, CA 92521, USA)

Abstract

We present an approach to analyzing fine particulate matter (PM 2.5 ) data from a network of “low cost air quality monitors” (LCAQM) to obtain a finely resolved concentration map. In the approach, based on a dispersion model, we first identify the probable locations of the sources, and then estimate the magnitudes of the emissions from these sources by fitting model estimates of concentrations to corresponding measurements. The emissions are then used to estimate concentrations on a grid covering the domain of interest. The residuals between model estimates at the monitor locations and the measured concentrations are then interpolated to the grid points using Kriging. We illustrate this approach by applying it to a network of 20 LCAQMs located in the Imperial Valley of Southern California. Estimating the underlying mean concentration field with a dispersion model provides a more realistic estimate of the spatial distribution of PM 2.5 concentrations than that from the Kriging observations directly.

Suggested Citation

  • Faraz Enayati Ahangar & Frank R. Freedman & Akula Venkatram, 2019. "Using Low-Cost Air Quality Sensor Networks to Improve the Spatial and Temporal Resolution of Concentration Maps," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1252-:d:220869
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/7/1252/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/7/1252/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michelle Wong & Esther Bejarano & Graeme Carvlin & Katie Fellows & Galatea King & Humberto Lugo & Michael Jerrett & Dan Meltzer & Amanda Northcross & Luis Olmedo & Edmund Seto & Alexa Wilkie & Paul En, 2018. "Combining Community Engagement and Scientific Approaches in Next-Generation Monitor Siting: The Case of the Imperial County Community Air Network," IJERPH, MDPI, vol. 15(3), pages 1-14, March.
    2. Gonçalo Marques & Cristina Roque Ferreira & Rui Pitarma, 2018. "A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    2. Jagriti Saini & Maitreyee Dutta & Gonçalo Marques, 2020. "Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review," IJERPH, MDPI, vol. 17(14), pages 1-22, July.
    3. Osama Alsamrai & Maria Dolores Redel-Macias & Sara Pinzi & M. P. Dorado, 2024. "A Systematic Review for Indoor and Outdoor Air Pollution Monitoring Systems Based on Internet of Things," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    4. Temitope Oluwadairo & Lawrence Whitehead & Elaine Symanski & Cici Bauer & Arch Carson & Inkyu Han, 2022. "Effects of Road Traffic on the Accuracy and Bias of Low-Cost Particulate Matter Sensor Measurements in Houston, Texas," IJERPH, MDPI, vol. 19(3), pages 1-14, January.
    5. Noor S. Baqer & A. S. Albahri & Hussein A. Mohammed & A. A. Zaidan & Rula A. Amjed & Abbas M. Al-Bakry & O. S. Albahri & H. A. Alsattar & Alhamzah Alnoor & A. H. Alamoodi & B. B. Zaidan & R. Q. Malik , 2022. "Indoor air quality pollutants predicting approach using unified labelling process-based multi-criteria decision making and machine learning techniques," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 81(4), pages 591-613, December.
    6. Amanda Durkin & Rico Gonzalez & Tania Busch Isaksen & Elizabeth Walker & Nicole A. Errett, 2020. "Establishing a Community Air Monitoring Network in a Wildfire Smoke-Prone Rural Community: The Motivations, Experiences, Challenges, and Ideas of Clean Air Methow’s Clean Air Ambassadors," IJERPH, MDPI, vol. 17(22), pages 1-11, November.
    7. Shohreh F. Farzan & Mitiasoa Razafy & Sandrah P. Eckel & Luis Olmedo & Esther Bejarano & Jill E. Johnston, 2019. "Assessment of Respiratory Health Symptoms and Asthma in Children near a Drying Saline Lake," IJERPH, MDPI, vol. 16(20), pages 1-15, October.
    8. Hyunsik Kim & Sungho Tae & Pengfei Zheng & Geonuk Kang & Hanseung Lee, 2021. "Development of IoT-Based Particulate Matter Monitoring System for Construction Sites," IJERPH, MDPI, vol. 18(21), pages 1-15, November.
    9. Michelle Wong & Alexa Wilkie & Catalina Garzón-Galvis & Galatea King & Luis Olmedo & Esther Bejarano & Humberto Lugo & Dan Meltzer & Daniel Madrigal & Mariana Claustro & Paul English, 2020. "Community-Engaged Air Monitoring to Build Resilience Near the US-Mexico Border," IJERPH, MDPI, vol. 17(3), pages 1-18, February.
    10. Karam M. Al-Obaidi & Mohataz Hossain & Nayef A. M. Alduais & Husam S. Al-Duais & Hossein Omrany & Amirhosein Ghaffarianhoseini, 2022. "A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective," Energies, MDPI, vol. 15(16), pages 1-32, August.
    11. Edmund Seto & Graeme Carvlin & Elena Austin & Jeffry Shirai & Esther Bejarano & Humberto Lugo & Luis Olmedo & Astrid Calderas & Michael Jerrett & Galatea King & Dan Meltzer & Alexa Wilkie & Michelle W, 2019. "Next-Generation Community Air Quality Sensors for Identifying Air Pollution Episodes," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
    12. Daniel Madrigal & Mariana Claustro & Michelle Wong & Esther Bejarano & Luis Olmedo & Paul English, 2020. "Developing Youth Environmental Health Literacy and Civic Leadership through Community Air Monitoring in Imperial County, California," IJERPH, MDPI, vol. 17(5), pages 1-12, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1252-:d:220869. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.