The application of geostatistics in grain size trend analysis: A case study of eastern Beibu Gulf

Fei Ma, Yaping Wang, Yan Li, Changjiang Ye, Zhiwei Xu, Fan Zhang

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

There are 71 surface sediment samples collected from the eastern Beibu Gulf. The moment parameters (i. e. mean size, sorting and skewness) were obtained after applying grain size analysis. The geostatistical analysis was then applied to study the spatial autocorrelation for these parameters; while range, a parameter in the semivariogram that meters the scale of spatial autocorrelation, was estimated. The results indicated that the range for sorting coefficient was physically meaningful. The trend vectors calculated from grain size trend analysis model were consistent with the annual ocean circulation patterns and sediment transport rates according to previous studies. Therefore the range derived from the semivariogram of mean size can be used as the characteristic distance in the grain size trend analysis, which may remove the bias caused by the traditional way of basing on experiences or testing methods to get the characteristic distance. Hence the results from geostatistical analysis can also offer useful information for the determination of sediment sampling density in the future field work.

Original languageEnglish
Pages (from-to)77-90
Number of pages14
JournalJournal of Geographical Sciences
Volume20
Issue number1
DOIs
StatePublished - Feb 2010
Externally publishedYes

Keywords

  • Beibu Gulf
  • Geostatistical method
  • Grain size trend analysis
  • Sediment transport
  • Semivariogram

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