塞内加尔东部K、Th和U浓度的多参数统计分析:机载辐射测量解释的含义

IF 2.4 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geosciences (Switzerland) Pub Date : 2023-08-30 DOI:10.3390/geosciences13090263
Aissata Thiam, D. Baratoux, M. Fall, G. Faye, G. Ouattara
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引用次数: 0

摘要

在地质制图中,航空辐射测量提供的K、Th和U浓度图被广泛用于从少数罕见的露头中描绘热带地区的地质单元。事实上,由于K、Th和U的特殊地球化学性质和行为,它们使我们能够追踪地质过程。然而,这些放射性元素的浓度组合不能使我们以一种独特的方式确定岩性。我们研究了在塞内加尔东部利用航空辐射测量数据划定K、Th和U浓度的统计参数用于地质制图的潜力。在3000 m的基线上计算平均值、标准差、偏度和峰度并绘制图。我们注意到对数正态分布的偏度和峰度值离预期曲线的距离很窄,这意味着对数正态分布在分析尺度上占主导地位。在较短的距离内,高阶矩(峰度和偏度)比低阶矩(平均值和标准差)变化更大。在统计参数差异较大的一些岩性接触点上,对数正态分布的混合可能解释了这种行为。根据统计参数,将航空辐射数据覆盖的区域划分为8个单位。这8个簇与地质单元没有明显的相关性,但它们可以根据岩性和最近的表面作用(侵蚀和风化)的叠加来解释。
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Multi-Parameter Statistical Analysis of K, Th, and U Concentrations in Eastern Senegal: Implications for the Interpretation of Airborne Radiometrics
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).
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来源期刊
Geosciences (Switzerland)
Geosciences (Switzerland) Earth and Planetary Sciences-Earth and Planetary Sciences (all)
CiteScore
5.30
自引率
7.40%
发文量
395
审稿时长
11 weeks
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