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Assessing carcinogenic radon levels in water from Er-Rachidia, Morocco using LR-115 nuclear track detectors

  • Khadour Said , Taha Yaseen Wais , Hassanain H. Al-Kazzaz , El Boukili Abderrahman , Laith A. Najam ORCID logo , Lhoucine Oufni , Moulay Brahim Sedra , Moha Amrane , M. I. Sayyed EMAIL logo , Abdelmoneim Saleh ORCID logo , Howaida Mansour and Joseph Emmanuel Ndjana Nkoulou II
Published/Copyright: December 17, 2024

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.


Corresponding author: M. I. Sayyed, Department of Physics, Faculty of Science, Isra University, Amman, Jordan, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. 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.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors declare that there is no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: All data generated or analyzed during this study are included in this published article.

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Received: 2024-06-22
Accepted: 2024-11-14
Published Online: 2024-12-17
Published in Print: 2025-03-26

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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