Multi-Parameter Statistical Analysis of K, Th, and U Concentrations in Eastern Senegal: Implications for the Interpretation of Airborne Radiometrics

Author:

Thiam Aïssata12,Baratoux David34ORCID,Fall Makhoudia5,Faye Gayane1,Ouattara Gbele2

Affiliation:

1. Laboratoire de Télédétection appliquée, Ecole Nationale Supérieure des Mines et de la Géologie, Université Cheikh Anta Diop, Dakar 5005, Senegal

2. Institut National Polytechnique Houphouët-Boigny, Yamoussoukro 1093, Côte d’Ivoire

3. Géosciences Environnement Toulouse, UMR5563 CNRS, Université de Toulouse III & IRD, 14, Avenue Edouard Belin, 31400 Toulouse, France

4. UFR des Sciences de la Terre et des Ressources Minières, Université Félix Houphouët-Boigny, Abidjan 536, Côte d’Ivoire

5. Département de Géologie, Université Cheikh Anta Diop, Dakar 5005, Senegal

Abstract

In geological mapping, maps of K, Th, and U concentrations provided by airborne radiometric surveys are widely used to delineate geological units in tropical regions from the few rare outcrops. Indeed, thanks to their specific geochemical properties and behaviors, K, Th, and U allow us to trace geological processes. However, the combination of the concentrations of these radioelements does not allow us to determine the lithology in a unique way. We examined the potential of delineating the statistical parameters of K, Th, and U concentrations for geological mapping using the purpose airborne radiometric data in eastern Senegal. The mean, standard deviation, skewness, and kurtosis were calculated and mapped at a baseline of 3000 m. We noted the narrow dispersion of skewness and kurtosis values away from the expected curve for the log-normal distribution, implying that log-normal distributions dominate at the scale of analysis. The higher moments (kurtosis and skewness) varied more over shorter distances than lower order moments (mean and standard deviation). Mixtures of log-normal distributions across some lithological contacts with large differences in statistical parameters may account for this behavior. The area covered by the airborne radiometric data was classified into eight units according to the statistical parameters. The eight clusters do not show obvious correlations with geological units, but they may be interpreted in terms of the superposition of lithology and recent superficial processes (erosion and weathering).

Funder

Agate

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference50 articles.

1. Dentith, M., and Mudge, S.T. (2014). Geophysics for the Mineral Exploration Geoscientist, Cambridge University Press.

2. Aeromagnetic and Radiometric Data Interpretation to Delineate the Structural Elements and Probable Precambrian Mineralization Zones: A Case Study, Egypt;Essa;Min. Metall. Explor.,2022

3. Unmanned Airborne Magnetic and VLF investigations: Effective Geophysical Methodology of the Near Future;Eppelbaum;Positioning,2011

4. Effects of environmental factors on the monitoring of environmental radioactivity by airborne gamma-ray spectrometry;Amestoy;J. Environ. Radioact.,2021

5. Fundamentals of airborne gamma-ray spectrometry;Minty;AGSO J. Aust. Geol. Geophys.,1997

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3