Correlation Analysis of Natural Radionuclides, Radon Exposure, Soil Particles, and Moisture from Quarry Towns in Greater Accra Region, Ghana

Otoo, Francis; Darko, E. O.; Garavaglia, M.

doi:10.1007/s11270-022-05791-7

Cited by 15 publications

(3 citation statements)

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“…Radon concentration levels in dwellings were found to differ from location to location, building to building as a result of the geology, and seasonal factors such as atmospheric pressure, humidity, temperature, building structure, age, and construction materials [7][8][9][10][11][12]. Several studies have been conducted on the seasonal variability of indoor radon concentration levels [7,8,11,[13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…There has been a lot of literature on seasonal indoor radon studies, correction factors, and radon mapping [8,11,[13][14][15][18][19][20][21]. In Ghana, there have been a lot of studies that reported indoor radon levels [8,9,11,[22][23][24][25][26]. Most of the reported indoor radon studies were conducted over relatively short periods [9,[22][23][24][25][26] with few studies having seasonal radon data [8,11,13].…”

Section: Introductionmentioning

confidence: 99%

“…In Ghana, there have been a lot of studies that reported indoor radon levels [8,9,11,[22][23][24][25][26]. Most of the reported indoor radon studies were conducted over relatively short periods [9,[22][23][24][25][26] with few studies having seasonal radon data [8,11,13]. Previous radon studies conducted in the study region have primarily focused on indoor radon levels in some dwellings, and there are no known studies that have determined radon levels in dwellings within the study location itself.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of indoor radon distribution and seasonal variation within the Kpando Municipality of Volta Region, Ghana

Amable,

Otoo,

Kingsley Buah-Bassuah

et al. 2024

PLoS ONE

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This study uses CR-39 radon detectors to examine radon distributions, seasonal indoor radon variations, correction factors, and the influence of building materials and characteristics on indoor radon concentration in 120 dwellings. The study also determines the spatial distribution of radon levels using the ArcGIS geostatistical method. Radon detectors were exposed in bedrooms from April to July (RS), August to November (DS); December to March (HS), and January-December (YS) from 2021 to 2022. The result for the radon levels during the weather seasons were; 32.3 to 190.1 Bqm-3 (80.9 ± 3.2 Bq/m3) for (RS), 30.8 to 151.4 Bqm-3 (68.5 ± 2.7 Bqm-3) for HS and 24.8 to 112.9 Bqm-3(61.7 ± 2.1 Bqm-3) for DS, and 25.2 to 145.2 Bq/m3 (69.4 ± 2.7 Bqm-3). The arithmetic mean for April to July season was greater than August to November. The correction factors associated with this study ranged from 0.9 to 1.2. The annual effective dose (AE) associated with radon data was varied from 0.6 to 4.04 mSv/y (1.8 ± 0.1 mSv/y). The April to July period which was characterized by rains recorded the highest correlation coefficient and indoor radon concentration. Distribution and radon mapping revealed radon that the exposure to the occupant is non-uniformly spread across the studied dwellings. 15.4% of the studied data exceeded WHO reference values of 100 Bq/m3. The seasonal variation, dwelling age, and building materials were observed to have a substantial impact on the levels of radon concentration within the buildings.

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