Characterization of Ultramafic–Alkaline–Carbonatite complex for radiation shielding competencies: An experimental and Monte Carlo study with lithological mapping
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The Pakkanadu Ultramafic–Alkaline–Carbonatite complex of Salem district has been studied using geochemical and remote sensing aspects. The samples collected from different locations of Pakkanadu were taken for mineralogical and geochemical analysis (XRF). Visible Near Infrared (VNIR) and Short Wave Infrared (SWIR) region of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data were used to retrieve the different band combinations to demarcate the carbonatite rock from adjacent lithologies. The image processing analysis of True Color Composite (1, 2, 3), False Color Composite (3, 2, 1), PCA derived band combinations of (3, 4, 8), and band ratio (2/1, 5/4, 8/2) outputs have given enhanced images which helped to demarcate the boundaries of litho units. Moreover, gamma-ray shielding competencies of studied complex materials were determined in the 0.015–15 MeV photon energy range. Our finding showed that the dunite sample, which has the maximum Fe2O3 amount in composition, has superior shielding properties among the investigated materials. It can be concluded that nominal compositions and material densities of studied natural materials have a direct impact on investigated properties. It can also be concluded that dunite's superior shielding properties are worth investigating for other types of radiations such as neutron and heavy ions. © 2022 The Author(s)
Açıklama
Anahtar Kelimeler
ASTER, Geochemistry, Image Processing, Remote Sensing
Kaynak
Ore Geology Reviews
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
142
Sayı
Künye
Libeesh, N. K., Naseer, K. A., Arivazhagan, S., El-Rehim, A. F. A., ALMisned, G., & Tekin, H. O. (2022). Characterization of Ultramafic–Alkaline–Carbonatite complex for radiation shielding competencies: An experimental and monte carlo study with lithological mapping. Ore Geology Reviews, 142 doi:10.1016/j.oregeorev.2022.104735
