Assessing carcinogenic radon levels in water from Er-Rachidia, Morocco using LR-115 nuclear track detectors
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Khadour Said
, Lhoucine Oufni
, Abdelmoneim Saleh
, Howaida Mansour
Abstract
The current study investigates the presence 222Rn in tap water, natural spring water, and well water from various locations in Er-Rachidia, Morocco, to assess the potential radiological risks posed to the local community. Radon, a radioactive gas produced by the decay of uranium and thorium in rocks and soil, poses significant radiation hazards. Using a Nuclear Track Detector (LR-115), researchers investigated the presence of radon in water from wells, dams, and rivers. The highest radon concentrations are found in well water, with an average of 1.92 Bq/L. The concentration of river water is the lowest, coming in at 0.53 Bq/L, while the average concentration of dam water is 0.84 Bq/L. On average, the annual effective dosage for well water is 4.57 ms per year. The water dosages from dams range from 1.74 to 2.44 μSv/y, with 1.98 being the average. River water ranges from 0.51 to 1.69 mSv/y, averaging 1.24 µSv/y. The excess lifetime cancer risk varies significantly across water sources: 1.27 × 10−3 to 1.84 × 10−3 (average 1.60 × 10−3) for well water, 0.61 × 10−3 to 0.85 × 10−3 (average 0.69 × 10−3) for dam water, and 0.18 × 10−3 to 0.59 × 10−3 (average 0.43 × 10−3) for river water. The results dispel fears of significant radioactive dangers to the locals by suggesting that the measured radon concentrations are within the limits set by international organizations.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: Material preparation, data collection, analysis, funding and manuscript as a whole (writing the draft manuscript and revision the final form) were prepared by the authors of the manuscript KHADOUR Said; Taha Yaseen Wais, Hassanain H. Al-Kazzaz; EL BOUKILI Abderrahman; Laith A. Najam; Lhoucine Oufni; M B SEDRA; M Amrane; M.I. Sayyed; Abdelmoneim Saleh; Howaida Mansour, J. E. Ndjana Nkoulou II.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors declare that there is no conflict of interest.
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Research funding: None declared.
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Data availability: All data generated or analyzed during this study are included in this published article.
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Articles in the same Issue
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- Uptake of Eu, Th, U, and Pu by granite and biotite gneiss in Korean fresh groundwater under oxidizing and reducing conditions
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- Dehydration of un-irradiated and gamma and electron-beam irradiated europium acetate hydrate under non-isothermal conditions: kinetics of the dehydration process of un-irradiated material
- Radiochromic liquid dosimeter based on p-arsanilic acid for gamma radiation monitoring
- Assessing carcinogenic radon levels in water from Er-Rachidia, Morocco using LR-115 nuclear track detectors
Articles in the same Issue
- Frontmatter
- Original Papers
- Single-atom-at-a-time adsorption studies of 211Bi and its precursor 211Pb on SiO2 surfaces
- Uptake of Eu, Th, U, and Pu by granite and biotite gneiss in Korean fresh groundwater under oxidizing and reducing conditions
- A new targetry system for cyclotron production of pharmaceutical grade indium-111 radioisotope
- Hierarchical macro/mesoporous γ-Al2O3 as column matrix for development of low specific activity 99Mo/99mTc generator via 100Mo (γ, n)99Mo reaction
- Design of a novel complex 99mTc-Nilutamide as a tracer for prostate cancer disorder detection in mice
- Dehydration of un-irradiated and gamma and electron-beam irradiated europium acetate hydrate under non-isothermal conditions: kinetics of the dehydration process of un-irradiated material
- Radiochromic liquid dosimeter based on p-arsanilic acid for gamma radiation monitoring
- Assessing carcinogenic radon levels in water from Er-Rachidia, Morocco using LR-115 nuclear track detectors