IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i7p1540-d159129.html
   My bibliography  Save this article

Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model

Author

Listed:
  • Yan Li

    (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China
    Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Land and Resources, Nanjing 210008, Jiangsu, China
    These authors contributed equally to this work.)

  • Liping Mei

    (School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China
    These authors contributed equally to this work.)

  • Shenglu Zhou

    (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China
    Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Land and Resources, Nanjing 210008, Jiangsu, China)

  • Zhenyi Jia

    (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China)

  • Junxiao Wang

    (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China)

  • Baojie Li

    (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China)

  • Chunhui Wang

    (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China)

  • Shaohua Wu

    (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Nanjing 210023, Jiangsu, China)

Abstract

Analysis of sediment grain sizes and heavy metal correlations in the western part of Lake Taihu shows that the grain size of the sediment is stable as a whole. With increasing depth, the grain size tends to decrease. Heavy metals such as Cr, Cd, Pd and Sr are strongly correlated and influence each other. Based on the positive matrix factorization (PMF) model, this study classified the origin of heavy metals in the sediments of western Lake Taihu into three major categories: Agricultural, industrial and geogenic. The contributions of the three heavy metal sources in each sample were analyzed and calculated. Overall, prior to the Chinese economic reform, the study area mainly practiced agriculture. The sources of heavy metals in the sediments were mostly of agricultural and geogenic origin, and remained relatively stable with contribution rates of 44.07 ± 11.84% ( n = 30) and 35.67 ± 11.70% ( n = 30), respectively. After the reform and opening up of China, as the economy experienced rapid development, industry and agriculture became the main sources of heavy metals in sediments, accounting for 56.99 ± 15.73% ( n = 15) and 31.22 ± 14.31% ( n = 15), respectively. The PMF model is convenient and efficient, and a good method to determine the origin of heavy metals in sediments.

Suggested Citation

  • Yan Li & Liping Mei & Shenglu Zhou & Zhenyi Jia & Junxiao Wang & Baojie Li & Chunhui Wang & Shaohua Wu, 2018. "Analysis of Historical Sources of Heavy Metals in Lake Taihu Based on the Positive Matrix Factorization Model," IJERPH, MDPI, vol. 15(7), pages 1-12, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1540-:d:159129
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/7/1540/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/7/1540/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mariusz Sojka & Joanna Jaskuła, 2022. "Heavy Metals in River Sediments: Contamination, Toxicity, and Source Identification—A Case Study from Poland," IJERPH, MDPI, vol. 19(17), pages 1-25, August.
    2. Guijie Tong & Shaohua Wu & Yujie Yuan & Fufu Li & Lian Chen & Daohao Yan, 2018. "Modeling of Trace Metal Migration and Accumulation Processes in a Soil-Wheat System in Lihe Watershed, China," IJERPH, MDPI, vol. 15(11), pages 1-16, November.
    3. Yan Li & Shenglu Zhou & Zhenyi Jia & Liang Ge & Liping Mei & Xueyan Sui & Xiaorui Wang & Baojie Li & Junxiao Wang & Shaohua Wu, 2018. "Influence of Industrialization and Environmental Protection on Environmental Pollution: A Case Study of Taihu Lake, China," IJERPH, MDPI, vol. 15(12), pages 1-12, November.

    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:15:y:2018:i:7:p:1540-:d:159129. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.