IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i24p13584-d698060.html
   My bibliography  Save this article

Source Apportionment of Particulate Matter in Urban Snowpack Using End-Member Mixing Analysis and Positive Matrix Factorization Model

Author

Listed:
  • Mikhail Y. Semenov

    (Limnological Institute of Siberian Branch, Russian Academy of Sciences, Ulan-Batorskaya St. 3, 664033 Irkutsk, Russia)

  • Natalya A. Onishchuk

    (Limnological Institute of Siberian Branch, Russian Academy of Sciences, Ulan-Batorskaya St. 3, 664033 Irkutsk, Russia)

  • Olga G. Netsvetaeva

    (Limnological Institute of Siberian Branch, Russian Academy of Sciences, Ulan-Batorskaya St. 3, 664033 Irkutsk, Russia)

  • Tamara V. Khodzher

    (Limnological Institute of Siberian Branch, Russian Academy of Sciences, Ulan-Batorskaya St. 3, 664033 Irkutsk, Russia)

Abstract

The aim of this study was to identify particulate matter (PM) sources and to evaluate their contributions to PM in the snowpack of three East Siberian cities. That was the first time when the PM accumulated in the snowpack during the winter was used as the object for source apportionment study in urban environment. The use of long-term integrated PM samples allowed to exclude the influence of short-term weather conditions and anthropogenic activities on PM chemistry. To ascertain the real number of PM sources and their contributions to air pollution the results of source apportionment using positive matrix factorization model (PMF) were for the first time compared to the results obtained using end-member mixing analysis (EMMA). It was found that Si, Fe and Ca were the tracers of aluminosilicates, non-exhaust traffic emissions and concrete deterioration respectively. Aluminum was found to be the tracer of both fossil fuel combustion and aluminum production. The results obtained using EMMA were in good agreement with those obtained using PMF. However, in some cases, the non-point sources identified using PMF were the combinations of two single non-point sources identified using EMMA, whereas the non-point sources identified using EMMA were split by PMF into two single non-point sources. The point sources were clearly identified using both techniques.

Suggested Citation

  • Mikhail Y. Semenov & Natalya A. Onishchuk & Olga G. Netsvetaeva & Tamara V. Khodzher, 2021. "Source Apportionment of Particulate Matter in Urban Snowpack Using End-Member Mixing Analysis and Positive Matrix Factorization Model," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13584-:d:698060
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/24/13584/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/24/13584/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mikhail Yu. Semenov & Anton V. Silaev & Yuri M. Semenov & Larisa A. Begunova, 2020. "Using Si, Al and Fe as Tracers for Source Apportionment of Air Pollutants in Lake Baikal Snowpack," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    2. Matthew Taylor & Niklas Kruger, 2020. "Tyre Weights an Overlooked Diffuse Source of Lead and Antimony to Road Runoff," Sustainability, MDPI, vol. 12(17), pages 1-10, August.
    3. Mikhail Y. Semenov & Yuri M. Semenov & Anton V. Silaev & Larisa A. Begunova, 2021. "Source Apportionment of Inorganic Solutes in Surface Waters of Lake Baikal Watershed," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
    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. Mikhail Y. Semenov & Anton V. Silaev & Yuri M. Semenov & Larisa A. Begunova & Yuri M. Semenov, 2022. "Identifying and Characterizing Critical Source Areas of Organic and Inorganic Pollutants in Urban Agglomeration in Lake Baikal Watershed," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    2. Mikhail Y. Semenov & Yuri M. Semenov & Anton V. Silaev & Larisa A. Begunova, 2021. "Source Apportionment of Inorganic Solutes in Surface Waters of Lake Baikal Watershed," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
    3. Mikhail Y. Semenov & Irina I. Marinaite & Liudmila P. Golobokova & Yuri M. Semenov & Tamara V. Khodzher, 2022. "Revealing the Chemical Profiles of Airborne Particulate Matter Sources in Lake Baikal Area: A Combination of Three Techniques," Sustainability, MDPI, vol. 14(10), pages 1-16, 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:13:y:2021:i:24:p:13584-:d:698060. 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.