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The development of a methodology for luminiscence dating of Holocene sediments at the land-ocean interface
Clarke, M.L.; Rendell, H.M. (2000). The development of a methodology for luminiscence dating of Holocene sediments at the land-ocean interface, in: Shennan, I. et al. (Ed.) Holocene land-ocean interaction and environmental change around the North Sea. Geological Society Special Publication, 166: pp. 69-86
In: Shennan, I.; Andrews, J. (Ed.) (2000). Holocene land-ocean interaction and environmental change around the North Sea. Geological Society Special Publication, 166. The Geological Society: London, UK. ISBN 1-86239-054-1. 326 pp., more
In: Hartley, A.J. et al. (Ed.) Geological Society Special Publication. Geological Society of London: Oxford; London; Edinburgh; Boston, Mass.; Carlton, Vic.. ISSN 0305-8719, more
Peer reviewed article  

Available in Authors 
    VLIZ: Geology and Geophysics [6043]

Keyword
    Marine

Authors  Top 
  • Clarke, M.L.
  • Rendell, H.M.

Abstract
    The main challenge in luminescence dating is to provide accurate ages for sediments derived from hill slope, fluvial and marine environments where grains have been transported and deposited by water. A new methodology has been devised for dating Holocene age sediments from the land-ocean interface. Alkali feldspars are recommended as the ideal dosimeter in these environments as they are: rapidly zeroed, have high sensitivity to dose, have an internal dose rate from the decay of 40K, have signal intensities that are much higher than for quartz, and the equivalent doses (EDs) determined are not affected by chemical weathering. Studies of the fundamental characteristics of feldspars have been used to optimize the luminescence signal for use in dating applications. A quality assurance technique for discriminating between those samples that will give accurate dates and those that will yield inaccurate dates has been developed and is tested here on coastal-zone sediments from Lincolnshire. Sampling from sediment exposures rather than cores minimizes the uncertainties related to past water content fluctuations.

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