scholarly journals Case study 5. Application of gamma-ray spectrometer data for lithological mapping in a Cordilleran environment, Sekwi region, Northwest Territories

2008 ◽  
Author(s):  
J R Harris ◽  
K Ford ◽  
B Charbonneau ◽  
J Buckle
Keyword(s):  
Northwest Territories ◽  
Gamma Ray ◽  
Lithological Mapping ◽  
Gamma Ray Spectrometer ◽  
Spectrometer Data

Background deduction of the Chang’E-1 gamma-ray spectrometer data

2012 ◽  
Vol 31 (3) ◽  
pp. 234-241 ◽  
Author(s):  
Liyan Zhang ◽  
Chunlai Li ◽  
Jinazhong Liu ◽  
Yongliao Zou ◽  
Ziyuan Ouyang
Keyword(s):  
Gamma Ray ◽  
Gamma Ray Spectrometer ◽  
Spectrometer Data

Gamma-Ray Spectrum Analysis of Chang’E-1 for Lunar Detection

2010 ◽  
Vol 133 (5) ◽  
Author(s):  
Xu HongKun ◽  
Fang Fang ◽  
Ni Shijun ◽  
He Jianfeng ◽  
You Lei
Keyword(s):  
Spectral Characteristic ◽  
Spectrum Analysis ◽  
Gamma Ray ◽  
Low Energy ◽  
Elemental Abundance ◽  
Nuclear Engineering ◽  
Gamma Ray Spectrometer ◽  
Lunar Prospector ◽  
Spectrometer Data ◽  
Wavelet Methods

Gamma-ray spectrum analysis was essential for radioactive environmental monitoring, and it had been widely used in many areas of nuclear engineering. However, for the low-energy region of gamma-ray spectrum, weak peaks were contained in the fast-decreasing background, so it was difficult to extract characteristic information from original spectra. In order to get a better analytic result based on wavelet methods in frequency domain, we had processed the gamma-ray spectrometer data of Chang’E-1 and well extracted some useful information of spectral characteristic peaks. Then, we preliminarily mapped the distribution of net peak counts for potassium on lunar surface, which indirectly reflected the distribution of elemental abundance. At last, we compared our analytic result with that of Apollo and Lunar Prospector and found some consistencies and differences.

The collection and processing of airborne gamma ray spectrometer data

1974 ◽  
Vol 12 (2-3) ◽  
pp. 218
Author(s):  
P.J. McSharry ◽  
D.W. Emerson
Keyword(s):  
Gamma Ray ◽  
Gamma Ray Spectrometer ◽  
Spectrometer Data

scholarly journals Assessing the Radiological Risks Associated with High Natural Radioactivity of Microgranitic Rocks: A Case Study in a Northeastern Desert of Egypt

2022 ◽  
Vol 19 (1) ◽  
pp. 473
Author(s):  
Neveen S. Abed ◽  
Mohamed Abdel Monsif ◽  
Hesham M. H. Zakaly ◽  
Hamdy A. Awad ◽  
Mahmoud M. Hessien ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Fuel Cycle ◽  
Radiological Hazard ◽  
United Nations Scientific Committee ◽  
Southeastern Part ◽  
Gamma Ray Spectrometer ◽  
Activity Concentrations ◽  
Radiological Hazards ◽  
The Mean

This study aimed to evaluate the radiological hazards of uranium (238U), thorium (232Th), and potassium (40K) in microgranitic rocks from the southeastern part of Wadi Baroud, a northeastern desert of Egypt. The activity concentrations of the measured radionuclides were determined by using a gamma-ray spectrometer (NaI-Tl-activated detector). The mean (238U), (232Th), and (40K) concentrations in the studied rocks were found to be 3680.3, 3635.2, and 822.76 Bq/kg, respectively. The contents in these rocks were elevated, reaching up to 6.3 wt%. This indicated the alkaline nature of these rocks. The high ratios of Th/U in the mineralized rocks could be related to late magmatic mineralization, suggesting the ascent of late magmatic fluids through weak planes such as faults and the contact of these rocks with older granites. The present data were higher than those of the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) guideline limits. All the radiological hazard results indicated high human health risks. This confirmed that this area is not radiologically safe, and care must be taken when working in this area. This study showed that the area under investigation had high U content suitable for uranium extraction that could be used in the nuclear fuel cycle.

Statistical analysis of airborne gamma‐ray data for geologic mapping purposes: Crixas‐Itapaci area, Goias, Brazil

Geophysics ◽  
1989 ◽  
Vol 54 (10) ◽  
pp. 1326-1332 ◽  
Author(s):  
A. C. B. Pires ◽  
N. Harthill
Keyword(s):  
Statistical Analysis ◽  
Gamma Ray ◽  
Mineral Exploration ◽  
Aerial Survey ◽  
Geologic Mapping ◽  
Good Correspondence ◽  
Gamma Ray Spectrometer ◽  
Data Points ◽  
Spectrometer Data ◽  
Mode Technique

Q‐mode factor analysis, K‐means clustering, and G‐mode clustering were used on digitized gamma‐ray spectrometer data from an aerial survey of the Crixas‐Itapaci area, Goias, Brazil. The data points including seven variables—eU, eTh, K, total count, U/Th, U/K, and Th/K—were digitized for a 2 km square grid. For the northwest corner of the area the data were gridded at 1 km. The Q‐mode classification method supplied results that do not show a good correspondence with the known geology. The K‐means clustering procedure barely identified the main lithologic features of the area. The G‐mode technique produced results that correlate well with the known geology and identified the greenstone belts present in the area by discriminating their ultramafic and mafic components from adjacent felsic rocks. Statistical analysis of aerial gamma‐ray spectrometer data can be very helpful in mapping geologic units in poorly known areas. It can also be used for mineral exploration purposes if mineralization is known to be associated with lithologies that can be identified by the techniques used in this study.

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