AI Article Synopsis

  • - The study focused on analyzing the hydrogeochemical properties of Cloșani Cave in Romania by examining the elemental composition of water and soil samples through multivariate statistical methods.
  • - Major and trace elements, alongside various carbon and nitrogen species, were assessed; the findings indicated that water characteristics were significantly influenced by interactions between water and carbonate rock.
  • - Seasonal changes in water characteristics were noted, particularly in spring, and the soil samples showed a strong influence of rare earth elements, with the ANOVA-PCA offering more detailed insights than traditional diagrams.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8619360PMC
http://dx.doi.org/10.3390/molecules26226788DOI Listing

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