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电感耦合等离子体光谱技术及其多元统计分析在洞穴水文地球化学剖析中的应用——以罗马尼亚克洛沙尼为例。

Application of Inductively Coupled Plasma Spectrometric Techniques and Multivariate Statistical Analysis in the Hydrogeochemical Profiling of Caves-Case Study Cloșani, Romania.

机构信息

INCDO-INOE 2000 National Institute for Research and Development of Optoelectronics, Research Institute for Analytical Instrumentation Subsidiary, Donath 67, 400293 Cluj-Napoca, Romania.

Department of Geospeleology and Paleontology, Emil Racovita Institute of Speleology, Calea 13 Septembrie, 050711 Bucharest, Romania.

出版信息

Molecules. 2021 Nov 10;26(22):6788. doi: 10.3390/molecules26226788.

Abstract

The aim of the study was to develop the hydrogeochemical profiling of caves based on the elemental composition of water and silty soil samples and a multivariate statistical analysis. Major and trace elements, including rare earths, were determined in the water and soil samples. The general characteristics of water, anions content, inorganic and organic carbon fractions and nitrogen species (NO and NH) were also considered. The ANOVA-principal component analysis (PCA) and two-way joining analysis were applied on samples collected from Cloșani Cave, Romania. The ANOVA-PCA revealed that the hydrogeochemical characteristics of Ca-HCO water facies were described by five factors, the strongest being associated with water-carbonate rock interactions and the occurrence of Ca, Mg and HCO (43.4%). Although organic carbon fractions have a lower influence (20.1%) than inorganic ones on water characteristics, they are involved in the chemical processes of nitrogen and of the elements involved in redox processes (Fe, Mn, Cr and Sn). The seasonal variability of water characteristics, especially during the spring, was observed. The variability of silty soil samples was described by four principal components, the strongest influence being attributed to rare earth elements (52.2%). The ANOVA-PCA provided deeper information compared to Gibbs and Piper diagrams and the correlation analysis.

摘要

本研究旨在基于水样和粉质土壤样品的元素组成以及多元统计分析,建立洞穴水文地球化学剖面。水样和土壤样品中均测定了常量和微量元素,包括稀土元素。还考虑了水的一般特征、阴离子含量、无机和有机碳组分以及氮物种(NO 和 NH)。对罗马尼亚克洛沙尼洞穴采集的样品进行了方差分析-主成分分析(PCA)和双向连接分析。方差分析-PCA 表明,Ca-HCO 水相的水文地球化学特征由五个因素描述,其中与水-碳酸盐岩相互作用和 Ca、Mg 和 HCO 的发生关系最强(43.4%)。尽管有机碳组分对水特征的影响(20.1%)低于无机碳组分,但它们参与了氮和参与氧化还原过程的元素(Fe、Mn、Cr 和 Sn)的化学过程。观察到水特征的季节性变化,特别是在春季。粉质土壤样品的变化由四个主成分描述,最强的影响归因于稀土元素(52.2%)。与吉布斯和皮珀图以及相关分析相比,方差分析-PCA 提供了更深入的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f5f7/8619360/59fd957d3e14/molecules-26-06788-g001.jpg

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