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首页> 外文期刊>Applied radiation and isotopes: including data, instrumentation and methods for use in agriculture, industry and medicine >X-ray fluorescence and gamma-ray spectrometry combined with multivariate analysis for topographic studies in agricultural soil
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X-ray fluorescence and gamma-ray spectrometry combined with multivariate analysis for topographic studies in agricultural soil

机译:X射线荧光和伽马射线光谱法结合多元分析用于农业土壤的地形研究

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摘要

Physical and chemical properties of soils play a major role in the evaluation of different geochemical signature, soil quality, discrimination of land use type, soil provenance and soil degradation. The objectives of the present study are the soil elemental characterization and soil differentiation in topographic sequence and depth, using Energy Dispersive X-Ray Fluorescence (EDXRF) as well as gamma-ray spectrometry data combined with Principal Component Analysis (PCA). The study area is an agricultural region of Boa Vista catchment which is located at Guamiranga municipality, Brazil. PCA analysis was performed with four different data sets: spectral data from EDXRF, spectral data from gamma-ray spectrometry, concentration values from EDXRF measurements and concentration values from gamma-ray spectrometry. All PCAs showed similar results, confirmed by hierarchical cluster analysis, allowing the data grouping into top, bottom and riparian zone samples, i.e. the samples were separated due to its landscape position. The two hillslopes present the same behavior independent of the land use history. There are distinctive and characteristic patterns in the analyzed soil. The methodologies presented are promising and could be used to infer significant information about the region to be studied. (C) 2014 Elsevier Ltd. All rights reserved.
机译:土壤的理化性质在评估不同地球化学特征,土壤质量,土地利用类型的判别,土壤来源和土壤退化方面起着重要作用。本研究的目的是利用能量色散X射线荧光(EDXRF)以及伽马射线光谱数据与主成分分析(PCA)相结合,在地形序列和深度上对土壤元素进行表征和区分。研究区域是位于巴西瓜米兰加市的博阿维斯塔集水区的一个农业地区。使用四个不同的数据集进行PCA分析:来自EDXRF的光谱数据,来自γ射线光谱的光谱数据,来自EDXRF测量的浓度值和来自γ射线光谱的浓度值。所有PCA均显示出相似的结果,通过层次聚类分析证实了这一点,从而允许将数据分组为顶部,底部和河岸带样本,即由于其景观位置而将样本分开。这两个山坡呈现出相同的行为,而与土地使用历史无关。在被分析的土壤中存在独特的特征模式。提出的方法是有前途的,可用于推断有关待研究区域的重要信息。 (C)2014 Elsevier Ltd.保留所有权利。

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