IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-25454-8_8.html
   My bibliography  Save this book chapter

Radiometric Dating of Environmental Records in Natural Archives

In: UK Success Stories in Industrial Mathematics

Author

Listed:
  • Gayane T. Piliposian

    (University of Liverpool, Department of Mathematical Sciences)

  • Peter G. Appleby

    (University of Liverpool, Department of Mathematical Sciences)

Abstract

Environmental records recovered from natural archives including lake sediments, salt marshes and inland waters and dated by natural ( $$^{210}$$ 210 Pb) and artificial ( $$^{137}$$ 137 Cs) fallout radionuclides were used to support management decisions on a range of different environmental issues. These included determining the level and source of pollution by airborne contaminants (persistent organic compounds and heavy metals such as lead or mercury) in Western USA, restoration of salt marshes along the USA Atlantic coast, and the use of antifoulant paints in UK inland waters. Outcomes from this research included evidence of the long term and widespread occurrence of the pesticide Endosulfan, used in hearings that lead to it being added in 2011 to the United Nations’ list of persistent organic pollutants to be eliminated worldwide. Natural inundation was shown to be the most cost-effective way of eliminating mosquito ditches in the Fire Island National Seashore and restoring the hydrology and ecological functions of the salt marshes. Evidence of the long-term damaging effect of TBT based antifouling paints in the Norfolk Broads contributed to the decision by the Broads Authority to initiate an ongoing campaign to promote the use of environmentally friendly antifoulants on all boats in the Broads system and minimise their use where possible.

Suggested Citation

  • Gayane T. Piliposian & Peter G. Appleby, 2016. "Radiometric Dating of Environmental Records in Natural Archives," Springer Books, in: Philip J. Aston & Anthony J. Mulholland & Katherine M.M. Tant (ed.), UK Success Stories in Industrial Mathematics, edition 1, pages 59-65, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-25454-8_8
    DOI: 10.1007/978-3-319-25454-8_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-319-25454-8_8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.