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Quality Control for Assessing the Reliability of Radiometric Measurements at the Luisha Mining Site, Haut-Katanga Province, Democratic Republic of the Congo


Authors : Jacques Nakamwambila Kiadiamuyika; Evariste Kazadi Tshiamala; Eli-Achille Manwana Mfumukani; Pierre K. Kaseti

Volume/Issue : Volume 11 - 2026, Issue 8 - August


Google Scholar : https://tinyurl.com/4ye7tek8

DOI : https://doi.org/10.38124/ijisrt/26aug1445

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This paper evaluates the integrity of radiometric observations collected across the Luisha mining area before those data are used for environmental interpretation or rehabilitation planning. Natural terrestrial radiation was measured along ten field profiles using a Geiger counter. Quality assessment combined descriptive statistics, geostatistical modelling and frequency-domain processing. Kriging was used to characterize spatial prediction uncertainty and to separate the survey area into zones of differing confidence according to station distribution. The histogram and normal Q-Q plot show an approximately Gaussian central population, although the upper tail remains positively skewed because of a small number of high readings. A low-pass FFT filter, implemented with a two-point window and a 0.25 Hz cutoff frequency, further improved the signal-to-noise ratio. After these checks and corrections, the dataset is considered suitable for subsequent radiometric mapping, interpretation and modelling.

Keywords : Natural Terrestrial Radioactivity; Radiometric Measurements; Quality Control; Geostatistics; Kriging; FFT.

References :

  1. Gratton, Y. (2003). Le krigeage : la méthode optimale d’interpolation spatiale. INRS-Eau-Terre-Environnement, Québec, Canada.
  2. Omasombo Tshonda, J. (2018). Haut-Katanga : Lorsque richesses économiques et pouvoirs politiques forcent une identité régionale. Tome 2 : Bassin du cuivre : matrice et horizon. MRAC, Tervuren.
  3. Kabange (1982). [Reference details as cited in the source manuscript].
  4. UNSCEAR (2000). Sources and Effects of Ionizing Radiation – Annex B: Exposures from Natural Radiation Sources. United Nations Scientific Committee on the Effects of Atomic Radiation, New York.
  5. IAEA (1998). Characterization of Radioactively Contaminated Sites for Remediation Purposes. IAEA-TECDOC-1017, International Atomic Energy Agency, Vienna.
  6. IAEA (2004). Remediation of Sites with Dispersed Radioactive Contamination. Technical Reports Series No. 424, International Atomic Energy Agency, Vienna.
  7. Yeşilkanat, C. M., Kobya, Y., Taşkın, H., & Çevik, U. (2015). “Dose rate estimates and spatial interpolation maps of outdoor gamma radiation with geostatistical methods; a case study from Artvin, Turkey.” Journal of Environmental Radioactivity.
  8. Sanusi, M. S. M., Ramli, A. T., Gabdo, H. T., et al. (2014). “Isodose mapping of terrestrial gamma radiation dose rate of Selangor State, Kuala Lumpur and Putrajaya, Malaysia.” Journal of Environmental Radioactivity.
  9. Le Coz, M., et al. (2021). “Factorial kriging for estimating and mapping the geochemical background component of gamma dose rate around former uranium mines.” Journal of Environmental Radioactivity.
  10. Borgoni, R., De Francesco, D., De Bartolo, D., Tzavidis, N., & Giannardi, C. (2011). “A geostatistical approach to assess the spatial association between indoor radon concentration, geological features and building characteristics: the case of Lombardy, Northern Italy.” International Journal of Environmental Research and Public Health, 8(5), 1420–1440.
  11. Dinis, M. L., et al. (2021). “Assessment of natural radioactivity, heavy metals and radiation exposure at a former uranium mining site.” Atmosphere, 12(11), 1433.
  12. Expósito-Suárez, V. M., et al. (2024). “Radiological characterization of the tailings of an abandoned copper mine with high levels of naturally occurring radionuclides.” Environmental Geochemistry and Health.
  13. OriginLab Corporation. FFT Filter / Signal Processing Algorithms – Origin Documentation.

This paper evaluates the integrity of radiometric observations collected across the Luisha mining area before those data are used for environmental interpretation or rehabilitation planning. Natural terrestrial radiation was measured along ten field profiles using a Geiger counter. Quality assessment combined descriptive statistics, geostatistical modelling and frequency-domain processing. Kriging was used to characterize spatial prediction uncertainty and to separate the survey area into zones of differing confidence according to station distribution. The histogram and normal Q-Q plot show an approximately Gaussian central population, although the upper tail remains positively skewed because of a small number of high readings. A low-pass FFT filter, implemented with a two-point window and a 0.25 Hz cutoff frequency, further improved the signal-to-noise ratio. After these checks and corrections, the dataset is considered suitable for subsequent radiometric mapping, interpretation and modelling.

Keywords : Natural Terrestrial Radioactivity; Radiometric Measurements; Quality Control; Geostatistics; Kriging; FFT.

Paper Submission Last Date
31 - October - 2026

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