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Application of Multivariate Statistic of

Adriana Monica Dalla Vecchia, Jorge Carvalho de Lena

2026enenvironmental monitoringlead isotopesuranium mininganthropogenic sourcesgeogenic sourcesstatistical analysis

Abstract

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This work presents a Principal Component Analysis (PCA) study using Pb-isotope signatures and U, Th and Pb concentrations from groundwater, sediments and rocks (granites and orthogneisses) of the Complex of Lagoa Real (Bahia, Brazil). This area is naturally enriched in U and Th, with the occurrence of Pb derived from the radioactive decay of the elements (238U, 235U and 232Th) in the form of their stable isotopes 206Pb, 207Pb and 208Pb in addition to the natural isotope 204Pb. Sampling was carried out in the rainy season (December to January) and the points were selected according to regional hydrology and geology. Thirty samples were analyzed: 12 of groundwater (AP) and 18 of sediments (S). The results show that the use of isotopic ratios allows discrimination between geogenic and anthropogenic samples. This information is not obtained using only the analysis of concentration data. Statistically, the isotopic data of Pb stand out as an efficient tool in the characterization of sources in the scenario investigated, allowing effective environmental monitoring and a better management of mining activities.

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Cite This Work

@article{aae72570-7e13-42de-8abc-0796e0127c66,
  title={Application of Multivariate Statistic of},
  author={Adriana Monica Dalla Vecchia and Jorge Carvalho de Lena},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Application of Multivariate Statistic of
AU  - Adriana Monica Dalla Vecchia
AU  - Jorge Carvalho de Lena
PY  - 2026
LA  - en
ER  -

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