IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i24p10568-d463839.html
   My bibliography  Save this article

Optical Sensing Approach to the Recognition of Different Types of Particulate Matters for Sustainable Indoor Environment Management

Author

Listed:
  • Hosang Ahn

    (Building Information Research Center, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdaero, Ilsanseogu, Goyang, Gyeonggi 10223, Korea)

  • Jae Sik Kang

    (Living Environment Research Center, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdaero, Ilsanseogu, Goyang, Gyeonggi 10223, Korea)

  • Gyeong-Seok Choi

    (Building Information Research Center, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdaero, Ilsanseogu, Goyang, Gyeonggi 10223, Korea)

  • Hyun-Jung Choi

    (Building Information Research Center, Korea Institute of Civil Engineering and Building Technology, 283 Goyangdaero, Ilsanseogu, Goyang, Gyeonggi 10223, Korea)

Abstract

The indoor environment is a crucial part of the built environment where our daily time is mostly spent. It is governed not only by indoor activities, but also affected by interconnected activities such as door opening, walking and routine tasks throughout the inside and outside of buildings and houses. Pollutant control is one of the major concerns for maintaining a sustainable indoor environment, and finding the source of pollutants is a relatively hard part of that task. Pollutants are emitted from various sources, transformed by sunlight, react with vapor in ozone and are transported into cities and from country to country. Due to these reasons, there has been high demand to monitor the transportation of particulate matters and improve air quality. The monitoring of pollutants and identification of their type and concentration enables us to track and control their generation and consequently discover reliable suitable mitigation measures to control air quality at regulated levels by contaminant source removal. However, the monitoring of pollutants, especially particulate matter generation and its transportation, is still not fully operated in atmospheric air due to its open nature and meteorological factors. Even though indoor air is relatively easier to monitor and control than outdoor air in the aspect of specific volume and contaminant source, meteorological parameters still need to be considered because indoor air is not fully separated from outdoor air flow and contaminants’ transportation. In this study, an optical approach using a spectral sensor was attempted to reveal the feasibility of wavelength and chromaticity values of reflected light from specific particles. From the analysis of reflected light of various particulate matters according to different liquid additives, parameter studies were performed to investigate which experimental conditions can contribute to the enhanced selective sensing of particulate matter. Five different particulate matters such as household dust, soil, talc powder, gypsum powder and yellow pine tree pollen were utilized. White samples were selectively identified by the peak at 720 nm for talc and 433 nm and 690 nm in wavelength for gypsum under chemical additives. Other grey household dust and yellowish soil and pine tree pollen revealed a distinct chromaticity x, y coordinates shift in vector within the maximum range from (0.22, 0.19) to (0.55, 0.48). Applicable approaches to assist current particle matter sensors and improve the selective sensing were suggested.

Suggested Citation

  • Hosang Ahn & Jae Sik Kang & Gyeong-Seok Choi & Hyun-Jung Choi, 2020. "Optical Sensing Approach to the Recognition of Different Types of Particulate Matters for Sustainable Indoor Environment Management," Sustainability, MDPI, vol. 12(24), pages 1-13, December.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10568-:d:463839
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/24/10568/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/24/10568/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Izabela Sówka & Anna Chlebowska-Styś & Łukasz Pachurka & Wioletta Rogula-Kozłowska & Barbara Mathews, 2019. "Analysis of Particulate Matter Concentration Variability and Origin in Selected Urban Areas in Poland," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    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. Barbora Švédová & Helena Raclavská & Marek Kucbel & Jana Růžičková & Konstantin Raclavský & Miroslav Koliba & Dagmar Juchelková, 2020. "Concentration Variability of Water-Soluble Ions during the Acceptable and Exceeded Pollution in an Industrial Region," IJERPH, MDPI, vol. 17(10), pages 1-26, May.
    2. Robert Cichowicz & Maciej Dobrzański, 2021. "3D Spatial Analysis of Particulate Matter (PM 10 , PM 2.5 and PM 1.0 ) and Gaseous Pollutants (H 2 S, SO 2 and VOC) in Urban Areas Surrounding a Large Heat and Power Plant," Energies, MDPI, vol. 14(14), pages 1-21, July.
    3. Cichowicz, Robert & Dobrzański, Maciej, 2022. "3D spatial dispersion of particulate matter and gaseous pollutants on a university campus in the center of an urban agglomeration," Energy, Elsevier, vol. 259(C).
    4. Tomasz Mach & Wioletta Rogula-Kozłowska & Karolina Bralewska & Grzegorz Majewski & Patrycja Rogula-Kopiec & Justyna Rybak, 2021. "Impact of Municipal, Road Traffic, and Natural Sources on PM 10 : The Hourly Variability at a Rural Site in Poland," Energies, MDPI, vol. 14(9), pages 1-23, May.
    5. Zbigniew Zuśka & Joanna Kopcińska & Ewa Dacewicz & Barbara Skowera & Jakub Wojkowski & Agnieszka Ziernicka–Wojtaszek, 2019. "Application of the Principal Component Analysis (PCA) Method to Assess the Impact of Meteorological Elements on Concentrations of Particulate Matter (PM 10 ): A Case Study of the Mountain Valley (the ," Sustainability, MDPI, vol. 11(23), pages 1-12, November.
    6. Monika Załuska & Katarzyna Gładyszewska-Fiedoruk, 2020. "Regression Model of PM2.5 Concentration in a Single-Family House," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    7. Karolina Bralewska & Wioletta Rogula-Kozłowska & Dominika Mucha & Artur Jerzy Badyda & Magdalena Kostrzon & Adrian Bralewski & Stanisław Biedugnis, 2022. "Properties of Particulate Matter in the Air of the Wieliczka Salt Mine and Related Health Benefits for Tourists," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    8. Kamila Widziewicz-Rzońca & Malwina Tytła & Grzegorz Majewski & Patrycja Rogula-Kopiec & Krzysztof Loska & Wioletta Rogula-Kozłowska, 2020. "Strongly and Loosely Bound Water in Ambient Particulate Matter—Qualitative and Quantitative Determination by Karl Fischer Coulometric Method," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    9. Robert Oleniacz & Tomasz Gorzelnik, 2021. "Assessment of the Variability of Air Pollutant Concentrations at Industrial, Traffic and Urban Background Stations in Krakow (Poland) Using Statistical Methods," Sustainability, MDPI, vol. 13(10), pages 1-23, May.

    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:jsusta:v:12:y:2020:i:24:p:10568-:d:463839. 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.