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


Autoria(s): Flood, R.P.; Orford, J.D.; McKinley, J.M.; Roberson, S.
Data(s)

01/04/2015

Resumo

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.

Identificador

http://pure.qub.ac.uk/portal/en/publications/effective-grain-size-distribution-analysis-for-interpretation-of-tidaldeltaic-facies-west-bengal-sundarbans(d5c0dff1-3363-40fe-ad77-3978b58f9d76).html

http://dx.doi.org/10.1016/j.sedgeo.2014.12.007

http://pure.qub.ac.uk/ws/files/14037833/Flood_et_al_2015_accepted_manuscript.pdf

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

Flood , R P , Orford , J D , McKinley , J M & Roberson , S 2015 , ' Effective grain size distribution analysis for interpretation of tidal-deltaic facies: West Bengal Sundarbans ' Sedimentary Geology , vol 318 , pp. 58-74 . DOI: 10.1016/j.sedgeo.2014.12.007

Palavras-Chave #grain size distributions, multivariate statistics, #compositional data, #Ganges-Brahmaputra delta, #Sundarbans, #lithofacies, #/dk/atira/pure/subjectarea/asjc/1900 #Earth and Planetary Sciences(all)
Tipo

article

Formato

application/pdf