Assessment of the Influence of Astronomical Cyclicity on Sedimentation Processes in the Eastern Paratethys Based on Paleomagnetic Measurements Using Discrete Mathematical Analysis

Boris A Dzeboev,Anastasia A Odintsova,Boris V Dzeranov,Alena I Rybkina

doi:10.3390/app12020580

Abstract

The introduction of modern methods for the mathematical processing of geological data is one of the promising areas of study and development in the field of geosciences. For example, today mathematical geology makes it possible to reliably identify astronomical cycles by measuring the scalar magnetic parameters of rocks (magnetic susceptibility). The main aim of this study is to develop a mathematical tool for identifying stable oscillation cycles (periods) in the dataset of the magnetic susceptibility of rocks in a geological section. The author’s method (algorithm) is based on the concept of discrete mathematical analysis—an innovative mathematical approach to the analysis of discrete geological and geophysical data. Its reliability is also demonstrated, by comparison with the results obtained by classical methods: Fourier analysis, Lomb periodogram, and REDFIT. The proposed algorithm was applied by the authors to analyze the material of field geological studies of the Zhelezny Rog section (Taman Peninsula). As a result, stable cycles were determined for the Pontian and Lower Maeotian sedimentary strata of the Black Sea Basin (Paratethys).

Highlights

This paper presents new field data on the magnetic susceptibility of the Pontian and Maeotian rocks ofnew the Black
This paper presents fieldSea data on(Paratethys), the magnetic susceptibility the Pontian a
Lower Maeotian rocks of the Black Sea Basin (Paratethys), collected within the Zhelez used both classical spectral algorithms and the discrete mathematical analysis (DMA)-algorithm developed in this paper

Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The active development of various geodata acquisition techniques caused the accumulation of large amounts of heterogeneous data. Nowadays in geosciences, there is a need for new mathematical methods and approaches to analyze accumulated data. This is especially actual in geology for the analysis and interpretation of complex phenomena, such as paleoenvironmental changes, sedimentation rates, and fluctuations in insolation [1]

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