FRAGMENTATION OF ZIRCONS IN THE ZONE OF INTENSE TECTONIC DEFORMATIONS

Abstract

In the present work are investigated the features of rock fracture on the scales of 10^-6 – 10^-4 m in zones of intense tectonic deformations. A statistical analysis of the fragmentation of zircons selected from the central part of the Primorsky fault of the Baikal rift zone has been carried out. Photos of zircon in transmitted light and cathodoluminescence images were considered. The segmentation of zircon images was performed based on artificial intelligence algorithms and expert opinion. Three models power, exponential, and lognormal were selected to describe the statistical properties of zircon fracturing. The analysis, based on Kolmogorov – Smirnov statistics using the bootstrap technique, revealed that the lognormal model is the most effective in describing zircon fragmentation under long-term intense tectonic deformations.