Interpretation of sedimentological processes of coarse-grained deposits applying a novel combined cluster and discriminant analysis

Éva Farics, Dávid Farics, József Kovács, J. Haas

Research output: Contribution to journalArticle

Abstract

The main aim of this paper is to determine the depositional environments of an Upper-Eocene coarse-grained clastic succession in the Buda Hills, Hungary. First of all, we measured some commonly used parameters of samples (size, amount, roundness and sphericity) in a much more objective overall and faster way than with traditional measurement approaches, using the newly developed Rock Analyst application. For the multivariate data obtained, we applied Combined Cluster and Discriminant Analysis (CCDA) in order to determine homogeneous groups of the sampling locations based on the quantitative composition of the conglomerate as well as the shape parameters (roundness and sphericity). The result is the spatial pattern of these groups, which assists with the interpretation of the depositional processes. According to our concept, those sampling sites which belong to the same homogeneous groups were likely formed under similar geological circumstances and by similar geological processes. In the Buda Hills, we were able to distinguish various sedimentological environments within the area based on the results: fan, intermittent stream or marine.

Original languageEnglish
Pages (from-to)525-538
Number of pages14
JournalOpen Geosciences
Volume9
Issue number1
DOIs
Publication statusPublished - Oct 28 2017

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discriminant analysis
cluster analysis
sampling
depositional environment
conglomerate
Eocene
rock
parameter
geological process

Keywords

  • Buda Hills
  • Coarse-grained succession
  • Composition
  • Depositional environments
  • Homogeneous groups
  • Rock Analyst application
  • Roundness

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Interpretation of sedimentological processes of coarse-grained deposits applying a novel combined cluster and discriminant analysis. / Farics, Éva; Farics, Dávid; Kovács, József; Haas, J.

In: Open Geosciences, Vol. 9, No. 1, 28.10.2017, p. 525-538.

Research output: Contribution to journalArticle

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