IDEAS home Printed from https://ideas.repec.org/a/etm/ijsrst/v11y2024i3id235.html

Use of Leaves as Bio-Indicator to Assess Air Pollution Tolerance Index (APTI) And Elemental Concentration of Heavy Metals at Katsina Central Market Grinding Area, Katsina State-Nigeria

Author

Listed:
  • Bilya Abdu
  • Mubarak Bature
  • Dauda Hasssan Lamutanni
  • Sabir Bello Sadiq

Abstract

Monitoring air pollution and environmental health are essential to ensure viable cities. Air pollution Tolerance Index (APTI) is used to assess how tolerant plant species are of air pollution, it can also serve to identify tolerant plant species that can be useful for pollution removal. APTI is calculated from parameters that are affected by air pollutants, such as ascorbic acid content, total chlorophyll content, relative water content, and PH of leaf extract. In this study, we compared APTI values of Ficus citrifolia leaves between control and grinding areas. The results revealed that APTI value of F. citrifolia leaves in the control area is high compared to that from the grinding site. Heavy metal concentrations were also studied. Correlation between APTI values and elemental concentrations indicated that F. citrifolia leaves were sensitive to air pollution. Thus, the APTI of tree leaves is useful proxy measure of air pollution.

Suggested Citation

  • Bilya Abdu & Mubarak Bature & Dauda Hasssan Lamutanni & Sabir Bello Sadiq, 2024. "Use of Leaves as Bio-Indicator to Assess Air Pollution Tolerance Index (APTI) And Elemental Concentration of Heavy Metals at Katsina Central Market Grinding Area, Katsina State-Nigeria," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 11(3), pages 679-688, June.
    • Handle: RePEc:etm:ijsrst:v11:y2024:i3:id:235
    DOI: 10.32628/IJSRST24113238
    as

    Download full text from publisher

    File URL: https://ijsrst.com/home/article/view/IJSRST24113238
    File Function: Abstract page
    Download Restriction: no
    File URL: https://ijsrst.com/home/article/download/IJSRST24113238/IJSRST24113238
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/IJSRST24113238?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:etm:ijsrst:v11:y2024:i3:id:235. 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: Pankaj Sharma (email available below). General contact details of provider: https://ijsrst.com/home .

    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.