<p>Gamma-ray spectrometric techniques, both ground-based and airborne, are essential tools for quantifying natural radioelements and assessing bedrock geochemistry. Despite the widespread application of gamma-ray spectrometry in mineral exploration, limited studies have quantitatively compared airborne and laboratory-based surveys within phosphate-bearing terrains. This study evaluates the distribution and correlation of uranium (U), thorium (Th), and potassium (K) in phosphate-bearing terrains using laboratory-based gamma-ray spectrometry (LGS) and airborne gamma-ray spectrometry (AGS). A total of forty phosphate rock samples obtained from Oja-Odan (Station I) and Ifo (Station II) were subjected to gamma-ray spectrometric analysis using a NaI(Tl) detector at the Institute of Radiation Protection Centre Laboratory, University of Ibadan. The corresponding AGS data were obtained from the Nigerian Geological Survey Agency archives. Statistical analyses, including homogeneity and normalization tests, geochemical anomaly mapping, and regression modeling, were used to assess data consistency and establish empirical relationships between the LGS and AGS datasets. The homogeneity test indicated that only Th (CV &lt; 50%) was consistent in Station I, while both U and Th were homogeneous in Station II. Thorium concentrations exceeded global averages in Station I across both datasets. Regression analysis revealed strong correlations between LGS and AGS for U, Th, and K (r = 0.98, 0.83, 0.98; and 0.91, 0.76, 0.81 for Stations I and II, respectively). The T-test (p &gt; 0.05) showed no significant difference between the two methods. These findings therefore confirm the reliability and complementary effectiveness of both LGS and AGS in delineating radioelement distribution and identifying geochemical anomalies in phosphate-rich environments.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Comparative analysis of laboratory–based and aerial gamma–ray spectrometric surveys of Oja–Odan and Ifo phosphate deposits, Ogun State, Southwestern Nigeria

  • Fidelis Olatoyosi Ogunsanwo,
  • Latifat Ronke Owoade,
  • Amidu Olalekan Mustapha,
  • Vitalis Chidi Ozebo,
  • Joseph Olakunle Coker,
  • Grace Opeoluwa Shofisile,
  • Jacob Dele Ayanda

摘要

Gamma-ray spectrometric techniques, both ground-based and airborne, are essential tools for quantifying natural radioelements and assessing bedrock geochemistry. Despite the widespread application of gamma-ray spectrometry in mineral exploration, limited studies have quantitatively compared airborne and laboratory-based surveys within phosphate-bearing terrains. This study evaluates the distribution and correlation of uranium (U), thorium (Th), and potassium (K) in phosphate-bearing terrains using laboratory-based gamma-ray spectrometry (LGS) and airborne gamma-ray spectrometry (AGS). A total of forty phosphate rock samples obtained from Oja-Odan (Station I) and Ifo (Station II) were subjected to gamma-ray spectrometric analysis using a NaI(Tl) detector at the Institute of Radiation Protection Centre Laboratory, University of Ibadan. The corresponding AGS data were obtained from the Nigerian Geological Survey Agency archives. Statistical analyses, including homogeneity and normalization tests, geochemical anomaly mapping, and regression modeling, were used to assess data consistency and establish empirical relationships between the LGS and AGS datasets. The homogeneity test indicated that only Th (CV < 50%) was consistent in Station I, while both U and Th were homogeneous in Station II. Thorium concentrations exceeded global averages in Station I across both datasets. Regression analysis revealed strong correlations between LGS and AGS for U, Th, and K (r = 0.98, 0.83, 0.98; and 0.91, 0.76, 0.81 for Stations I and II, respectively). The T-test (p > 0.05) showed no significant difference between the two methods. These findings therefore confirm the reliability and complementary effectiveness of both LGS and AGS in delineating radioelement distribution and identifying geochemical anomalies in phosphate-rich environments.