Effective grain size distribution analysis for interpretation of tidal–deltaic facies: West Bengal Sundarbans

Rory Flood, Julian Orford, Jennifer McKinley, Sam Roberson

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17 Citations (Scopus)
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Abstract

Research over the past two decades on the Holocene sediments from the tide dominated west side of the lower Ganges delta has focussed on constraining the sedimentary environment through grain size distributions (GSD). GSD has traditionally been assessed through the use of probability density function (PDF) methods (e.g. log-normal, log skew-Laplace functions), but these approaches do not acknowledge the compositional nature of the data, which may compromise outcomes in lithofacies interpretations. The use of PDF approaches in GSD analysis poses a series of challenges for the development of lithofacies models, such as equifinal distribution coefficients and obscuring the empirical data variability. In this study a methodological framework for characterising GSD is presented through compositional data analysis (CODA) plus a multivariate statistical framework. This provides a statistically robust analysis of the fine tidal estuary sediments from the West Bengal Sundarbans, relative to alternative PDF approaches.
Original languageEnglish
Pages (from-to)58-74
JournalSedimentary Geology
Volume318
Early online date06 Jan 2015
DOIs
Publication statusPublished - 01 Apr 2015

Keywords

  • grain size distributions, multivariate statistics,
  • compositional data,
  • Ganges-Brahmaputra delta,
  • Sundarbans,
  • lithofacies,

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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