<p>The crude oil sector in Nigeria continues to be a significant source of income and foreign currency. However, operations related to oil exploration and production have the potential to seriously alter the environment, having an impact on ecosystems, water bodies, and human life. In many cases, pollution indices are viewed as a useful instrument for thoroughly evaluating contamination levels. Additionally, they may have a significant impact when evaluating soil quality and the forecast of long-term ecosystem viability, in the case of farmlands in particular. Atomic absorption spectrometry (AAS) was used to examine the heavy metal contents. Potential ecological risk index, geoaccumulation index, Nemerow pollution, pollution load index, contamination index (CI), and metal pollution index were the seven indicators employed in the study. The concentration of heavy metals such as manganese (Mn), iron (Fe), copper (Cu), zinc (Zn), nickel (Ni), lead (Pb), chromium (Cr), and arsenic (As) ranges from 11.9 to 184.1, 920 to 8870, 1.1 to 9.9, 9.7 to 60.4, 0.001 to 0.001, 2.4 to 34.7, 2.2 to 11.5, and 0.001 to 0.001&#xa0;mg/kg, respectively. The correlation matrix showed that there were positive correlations between Mn and Ni, Fe and Cu, Zn, Pb, Cr, Cu and Cr, Zn and Pb, Cr, and Pb and Cr, while a negative correlation exists between Cu and Ar. PCA showed that 75% of the samples in PC1 have loadings; in PC2, 50% of the parameters have loadings; in PC3, 25% of the parameters have loadings; and in PC4, 12.5% of the entire parameter has loadings. Findings from the aforementioned indices revealed that the analyzed soil samples are polluted.</p>

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Geochemical implications of hydrocarbon exploitation on the soil around the crude oil-producing area of Uzere, Niger Delta region, Nigeria

  • Abel Taiwo Ibitoye,
  • Wasiu Olajuwon Osisanya,
  • Isaac Okpeseyi Imasuen

摘要

The crude oil sector in Nigeria continues to be a significant source of income and foreign currency. However, operations related to oil exploration and production have the potential to seriously alter the environment, having an impact on ecosystems, water bodies, and human life. In many cases, pollution indices are viewed as a useful instrument for thoroughly evaluating contamination levels. Additionally, they may have a significant impact when evaluating soil quality and the forecast of long-term ecosystem viability, in the case of farmlands in particular. Atomic absorption spectrometry (AAS) was used to examine the heavy metal contents. Potential ecological risk index, geoaccumulation index, Nemerow pollution, pollution load index, contamination index (CI), and metal pollution index were the seven indicators employed in the study. The concentration of heavy metals such as manganese (Mn), iron (Fe), copper (Cu), zinc (Zn), nickel (Ni), lead (Pb), chromium (Cr), and arsenic (As) ranges from 11.9 to 184.1, 920 to 8870, 1.1 to 9.9, 9.7 to 60.4, 0.001 to 0.001, 2.4 to 34.7, 2.2 to 11.5, and 0.001 to 0.001 mg/kg, respectively. The correlation matrix showed that there were positive correlations between Mn and Ni, Fe and Cu, Zn, Pb, Cr, Cu and Cr, Zn and Pb, Cr, and Pb and Cr, while a negative correlation exists between Cu and Ar. PCA showed that 75% of the samples in PC1 have loadings; in PC2, 50% of the parameters have loadings; in PC3, 25% of the parameters have loadings; and in PC4, 12.5% of the entire parameter has loadings. Findings from the aforementioned indices revealed that the analyzed soil samples are polluted.