Cluster- and PCA-based gamma-ray spectrometry data processing algorithm for hydrothermal alteration haloes mapping; Journal of Applied Geophysics; Vol. 210

Podrobná bibliografie
Parent link:Journal of Applied Geophysics
Vol. 210.— 2023.— [104935, 9 p.]
Korporativní autor: Национальный исследовательский Томский политехнический университет Инженерная школа природных ресурсов Отделение геологии
Další autoři: Sobolev I. S. Igor Stanislavovich, Orekhov K. A. Kirill Aleksandrovich, Orekhov A. N. Aleksandr Nikolaevich, Charkin A. N. Aleksandr Nikolaevich, Soboleva N. P. Nadezhda Petrovna
Shrnutí:Title screen
In the present paper a high-resolution gamma-spectrometry data processing algorithm aimed at locating hydrothermal alteration haloes is discussed. On the first stage a cluster model of spatial variation of radioactive background is created using information on natural radioactive elements (NRE) concentrations and numerical geomorphological characteristics. This model allows for good terrain differentiation in terms of its lithological and landscape variability. Mathematical procedure for removal of NRE distribution variance, related to variability of lithology and elementary landscapes, improved radiometry data for mapping zones of hydrothermal alterations. On the second stage we integrated the “corrected” gamma-ray spectrometry data using principal component analysis (PCA). Comparing the acquired factor model with a priori radioactive models of hydrothermal alterations allowed us to differentiate quartz-hydromica and quartz-pyrite-sericite alteration haloes.
Режим доступа: по договору с организацией-держателем ресурса
Jazyk:angličtina
Vydáno: 2023
Témata:
On-line přístup:https://doi.org/10.1016/j.jappgeo.2023.104935
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=669320

Podobné jednotky