Baseline Measurements of Natural Radioactivity Around the Manyoni Uranium Deposit (Tanzania): Selection of Sampling Points

  • Farida Lolila Department of Physics, University of Dar es Salaam, P.O. Box 35063, Dar es Salaam, Tanzania
  • Mohamed Mazunga Department of Physics, University of Dar es Salaam, P.O. Box 35063, Dar es Salaam, Tanzania
  • Ntombizikhona Beaulah Ndabeni Department of Subatomic Physics, iThemba LABS, P.O. Box 722, Somerset West 7129, South Africa

Abstract

In order to acquire baseline data for prospective uranium mines, environmental radioactivity measurements are usually performed over large areas. This leads to a huge number of sampling points with a time-consuming and expensive data-acquisition process. For this study, probabilistic and non-probabilistic sampling strategies were used to determine the fewest possible sampling points needed to establish baseline data around the prospective uranium mine of Manyoni (Tanzania). The probabilistic approach used stratified and systematic grid sampling to obtain 32 sampling points at a 27.96 km2 site prone to pollution from the prospective mining activities. These points were proportionally distributed based on pre-determined strata, geological areas, and administrative wards. Non-probabilistic sampling used judgmental sampling to allocate 8 sampling points in a region expected to receive higher levels of mining dust pollution than the WHO guidelines. We present a more representative and less expensive sampling approach with fewer sampling points around the prospective mine.


 

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Published
2022-12-20
How to Cite
LOLILA, Farida; MAZUNGA, Mohamed; NDABENI, Ntombizikhona Beaulah. Baseline Measurements of Natural Radioactivity Around the Manyoni Uranium Deposit (Tanzania): Selection of Sampling Points. Menemui Matematik (Discovering Mathematics), [S.l.], v. 44, n. 2, p. 97-108, dec. 2022. ISSN 0126-9003. Available at: <https://myjms.mohe.gov.my/index.php/dismath/article/view/20701>. Date accessed: 24 july 2024.

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