IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6646-d827083.html
   My bibliography  Save this article

Influence of Source Apportionment of PAHs Occurrence in Aquatic Suspended Particulate Matter at a Typical Post-Industrial City: A Case Study of Freiberger Mulde River

Author

Listed:
  • Zhuotao Qiu

    (Department of Ecology and Institute of Hydrobiology, Jinan University, Guangzhou 510632, China)

  • Zhenyu Wang

    (Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062 Dresden, Germany)

  • Jie Xu

    (Safety, Environment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China)

  • Yi Liu

    (Safety, Environment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China)

  • Jin Zhang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    Yangtze Institute for Conservation and Development, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China)

Abstract

Polycyclic aromatic hydrocarbons (PAHs) have received extensive attention because of their widespread presence in various environmental media and their high environmental toxicity. Thus, figuring out the long-term variances of their occurrence and driving force in the environment is helpful for environmental pollution control. This study investigates the concentration levels, spatial variance, and source apportionment of PAHs in suspended particulate matter of Freiberger Mulde river, Germany. Results show that the concentrations of the 16 priority PAHs suggested by USEPA (Σ 16 PAHs) were in the range of 707.0–17,243.0 μg kg −1 with a mean value of 5258.0 ± 2569.2 μg kg −1 from 2002 to 2016. The relatively high average concentrations of Σ 16 PAHs were found in the midstream and upstream stations of the given river (7297.5 and 6096.9 μg kg −1 in Halsbrucke and Hilbersdorf, respectively). In addition, the annual average concentration of Σ 16 PAHs showed an obvious decreasing pattern with time. Positive Matrix Factorization (PMF) receptor model identified three potential sources: coke ovens (7.6–23.0%), vehicle emissions (35.9–47.7%), and coal and wood combustion (34.5–47.3%). The source intensity variation and wavelet coherence analysis indicated that the use of clean energy played a key role in reducing PAHs pollution levels in suspended sediments. The risk assessment of ecosystem and human health suggested that the Σ 16 PAHs in the given area posed a non-negligible threat to aquatic organisms and humans. The data provided herein could assist the subsequent management of PAHs in the aquatic environment.

Suggested Citation

  • Zhuotao Qiu & Zhenyu Wang & Jie Xu & Yi Liu & Jin Zhang, 2022. "Influence of Source Apportionment of PAHs Occurrence in Aquatic Suspended Particulate Matter at a Typical Post-Industrial City: A Case Study of Freiberger Mulde River," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6646-:d:827083
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6646/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/11/6646/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xianhua Wu & Ji Guo, 2021. "A Multi-scale Periodic Study of PM2.5 Concentration in the Yangtze River Delta of China Based on Empirical Mode Decomposition-Wavelet Analysis," Springer Books, in: Economic Impacts and Emergency Management of Disasters in China, edition 1, chapter 0, pages 45-80, Springer.
    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. Hang Zhang & Yong Liu & Dongyang Yang & Guanpeng Dong, 2022. "PM 2.5 Concentrations Variability in North China Explored with a Multi-Scale Spatial Random Effect Model," IJERPH, MDPI, vol. 19(17), pages 1-14, August.

    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:14:y:2022:i:11:p:6646-:d:827083. 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.