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
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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 :
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- 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.
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- 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.
- 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.
- 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.
- 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.
- 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.