Abstract
The radon-prone area of the Adamawa region in Cameroon is characterized by high natural radiation background resulting from the high concentrations of radium-226, thorium-232, and indoor radon. To produce a radon-risk map, radon measurements in soil were carried out in the city of Ngaoundere. The radon activity concentration in soil gas ranged from 256 to 166 kBq m−3 with a mean of 80 kBq m−3 and a standard deviation of 38 kBq m−3. The area is mostly classified as high risk (80%) according to the Swedish classification, and 20% as medium risk. A low-risk area was not observed. Granite-like geology sites were characterized by higher radon concentration. A ratio of about 295:1 was obtained for soil radon gas to indoor radon concentrations, with a positive correlation (R = 0.40), and a transfer factor of 3 per mil. These results demonstrate that in situ measurements of radon concentration in soil can provide accurate information on the level of indoor radon concentrations. Geostatistical and deterministic interpolation techniques have been used to obtain a radon map by comparing the suitability of ordinary kriging and inverse-distance-weighted (IDW) interpolation methods. It turned out that there is not much difference in the prediction errors of the two techniques (Root Mean Square Error = 34.4 for ordinary kriging and 34.3 for IDW). It is concluded that both methods give acceptable results. In situ measurements and geostatistical analysis allow assessment of expected indoor radon exposure in a given area at reduced costs and time required. However, for the investigated area, more research is needed to produce reliable radon-risk maps.
Similar content being viewed by others
Data availability
Supplementary data to this article is available and can be obtained from the corresponding author.
References
Adelikhah M, Shahrokhi A, Imani M, Chalupnik S (2020) Radiological assessment of indoor radon and thoron concentrations and indoor radon map of dwellings in Mashhad Iran. Int J Environ Res Health. https://doi.org/10.3390/ijerph18010141
Ahmed MI, Rawa HN (2017) Comparison between Inverse Distance Weighted (IDW) and Kriging. Int J Sci Res 6:249–254. https://doi.org/10.21275/ART20177562
Ambrosino F, Thinová L, Briestenský M, Sabbarese C (2019) Analysis of radon time series recorded in Slovak and Czech caves for the detection of anomalies due to seismic phenomena. Radiat Prot Dosim. https://doi.org/10.1093/rpd/ncz245
Bachelier G (1957) Etude pédologique de la zone de volcanisme récent au Sud-Est de Ngoundéré, Cameroon.
Bineng GS, Saïdou TS, Hosoda M, Tchuente SYF, Issa H, Suzuki T, Kudo H, Bouba O (2020) The importance of direct progeny measurements for correct estimation of effective dose due to radon and thoron. Front Public Health 8:17. https://doi.org/10.3389/fpubh.2020.00017
Bossew P (2014) Determination of radon prone areas by optimized binary classification. J Environ Radioact 129:121–132. https://doi.org/10.1016/j.jenvrad.2013.12.015
BUCREP (2010) Rapport de presentation des resultats definitifs 68. BUCREP
Buttafuoco G, Tallarico A, Falcone G (2007) Mapping soil gas radon concentration : a comparative study of geostatistical methods. Environ Monit Assess 131:135–151. https://doi.org/10.1007/s10661-006-9463-7
Cancer CC (2002) International Agency for Research on Cancer Iarc monographs on the evaluation of carcinogenic risks to humans. Iarc Monogr Eval Carcinog Risks Hum 96:1–390. https://doi.org/10.1002/food.19940380335
Cinelli G, Tositti L, Capaccioni B, Brattich E, Mostacci D (2015) Soil gas radon assessment and development of a radon risk map in Bolsena, Central Italy. Environ Geochem Health 37:305–319. https://doi.org/10.1007/s10653-014-9649-9
Crowley Q (2019) Rapid radon potential classification using soil-gas radon measurements in the Cooley Peninsula County Louth, Ireland. Environ Earth Sci. https://doi.org/10.1007/s12665-019-8339-4
Darby S, Hill D, Auvinen A, Barros-Dios JM, Baysson H, Bochicchio F, Deo H, Falk R, Forastiere F, Hakama M, Heid I, Kreienbrock L, Kreuzer M, Lagarde F, Mäkeläinen I, Muirhead C, Oberaigner W, Pershagen G, Ruano-Ravina A, Ruosteenoja E, Schaffrath Rosario A, Tirmarche M, Tomášek L, Whitley E, Wichmann HE, Doll R (2005) Radon in homes and risk of lung cancer: collaborative analysis of individual data from 13 European case-control studies. Br Med J 330:223–226. https://doi.org/10.1136/bmj.38308.477650.63
Elio J, Crowley Q, Scanlon R, Hodgson J, Long S (2019) Rapid radon potential classificationusing soil gas radon measurements in the cooley peninsula, county louth. Ireland. Environ Earth Sci 78:1–16
El-taher A, Hisham MH (2020) Radon concentration and radon exhalation rate for basement rocks from Wadi Um Huytat in central eastern desert of Egypt radon concentration and radon exhalation rate for basement rocks from Wadi Um Huytat in central eastern desert of Egypt. AIP Conf Proc. https://doi.org/10.1063/5.0032250
Esan DT, Kameswara M, Sridhar C, Obed R, Ajiboye Y, Afolabi O, Olubodun B, Oni OM (2020) Determination of residential soil gas radon risk indices over the lithological units of a Southwestern Nigeria University. Sci Rep. https://doi.org/10.1038/s41598-020-64217-8
Gondji DS, Monempimb VJ, Oumar BM, Tchuente SY, Ateba BF, Saïdou, Shinji T (2022) Radon risk assessment and correlation study of indoor radon, radium - 226, and radon in soil at the cobalt – nickel bearing area of Lomié eastern Cameroon. Water Air Soil Pollut. https://doi.org/10.1007/s11270-022-05666-x
Gundersen LCS, (1993) The Correlation between Bedrock Geology and Indoor Radon: Where It works and Where it Doesn’t-Some Examples from the Eastern United States. In: International Radon Conference, IV-1-IV–8
Isam SM, Håkan BLP, Åke S, Eva L (2002) Spatial correlation between radon (222Rn ) in groundwater and bedrock uranium (238U ): GIS and Geostatistical Analyses. J. of Spatial Hydrology 2:1–10
Kemski J, Siehl A, Stegemann R, Valdivia-Manchego M (2001) Mapping the geogenic radon potential in Germany. Sci Total Environ 272:217–230. https://doi.org/10.1016/S0048-9697(01)00696-9
Kemski J, Klingel R, Siehl A, Valdivia-Manchego M (2009) From radon hazard to risk prediction-based on geological maps, soil gas and indoor measurements in Germany. Environ Geol 56:1269–1279. https://doi.org/10.1007/s00254-008-1226-z
Lara EG, Rocha Z, Santos TDO, Miguel RA, Neto D, Menezes MÂDBC, Oliveira AH (2011) distribution of soil gas radon concentration in the metropolitan region of belo horizonte, Brazil and correlations with litologies and pedologies. In: International Nuclear Atlantic Conference INAC 2011 Belo Horizonte, MG, Brazil, October 24–28, 2011
Lecomte JF, Solomon S, Takala J, Jung T, Strand P, Murith C, Kiselev S, Zhuo W, Shannoun F, Janssens A (2014) ICRP publication 126: radiological protection against radon exposure. Ann ICRP. https://doi.org/10.1177/0146645314542212
Loffredo F, Scala A, Serra M, Quarto M (2021) Radon risk mapping : a new geostatistical method based on Lorenz Curve and Gini index. J Environ Radioact 233:106612. https://doi.org/10.1016/j.jenvrad.2021.106612
Ndjana NJE, Ngoa EL, Saïdou HM, Bongue D, Takahito S, Hiromi K, Kwato NMG, Shinji T (2019) Simultaneous indoor radon, thoron, and thoron progeny measurements in Betare-Oya gold mining areas, Eastern Cameroon. Radiat Prot Dosim. https://doi.org/10.1093/rpd/ncz026
Neznal M, Neznal M (2014) Analysis of problems and failures in the measurement of soil-gas radon concentration. Radiat Prot Dosim 160:214–216. https://doi.org/10.1093/rpd/ncu088
Neznal M, Neznal M, Matolín M, Barnet I, Miksova J (2002) The new method for assessing the radon risk of building sites Nová metodika stanovení radonového indexu pozemku. Czech Geological Survey
Nuhu H, Hashim S, Aziz SM, Syazwan MSM, Hussein AA, Jamal MH (2021) Soil gas radon and soil permeability assessment: Mapping radon risk areas in Perak State, Malaysia. PLoS ONE 16(7):4099. https://doi.org/10.1371/journal.pone.0254099
Palermi S, Pasculli A, (2014) Radon mapping in Abruzzo, Italy conference paper
Pásztor L, Zsuzsanna K, Szatmári G, Laborczi A, Horváth Á (2016) Science of the Total Environment Mapping geogenic radon potential by regression kriging. Sci Total Environ 544:883–891. https://doi.org/10.1016/j.scitotenv.2015.11.175
Petermann E, Meyer H, Nussbaum M, Bossew P (2021) Mapping the geogenic radon potential for Germany by machine learning. Sci Total Environ 754:142291. https://doi.org/10.1016/j.scitotenv.2020.142291
Reimer GM (2001) Ground-truthing predicted indoor radon concentrations by using soil-gas radon measurements. J Radioanal Nucl Chem 249(1):163–166
Sabbarese C, Ambrosino F, D’Onofrio A, Pugliese M, La Verde G, D’Avino V, Roca V (2021) The first radon potential map of the Campania region (southern Italy). Appl Geochem. https://doi.org/10.1016/j.apgeochem.2021.104890
Saïdou OBM, Ndjana NJE, Olga G, Kountchou NM, Hamadou YA (2020) Indoor radon measurements using radon track detectors and electret indoor radon measurements using radon track detectors and electret ionization chambers in the bauxite-bearing areas of southern Adamawa, Cameroon. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph17186776
Scala A, Maria G (2020) A new geostatistical tool for the analysis of the geographical variability of the indoor radon activity. Nukleonika 65:99–104. https://doi.org/10.2478/nuka-2020-0015
Soumayah B, Saïdou, Ndjana NJE, Haman F, Kwato NMG (2022) Natural radiation exposure and radiological hazard analysis in a radon-prone area of the Adamawa region, Cameroon. Rad Prot Dosim 198:74–85
Stanton A, Sanchez C, Mitchell T, Yoshitaka N, Meredith P (2019) The permeability of fracture intersections in basalt. Geophy Res Abstr 21:2019-165–1
Sun K, Guo Q, Cheng J (2004) The effect of some soil characteristics on soil radon concentration and radon exhalation from soil surface. J Nucl Sci Technol 41:1113–1117. https://doi.org/10.1080/18811248.2004.9726337
Takoukam SDS, Saïdou, Tokonami S, Hosoda M, Suzuki T, Kudo H, Bouba O (2019) Simultaneous measurements of indoor radon and thoron and inhalation dose assessment in Douala. Isot Environ Health Stud 5:5. https://doi.org/10.1080/10256016.2019.1649258
Tung S, Leung JKC, Jiao JJ, Wiegand J, Wartenberg W (2013) Assessment of soil radon potential in Hong Kong, China, using a 10-point evaluation system. Environ Earth Sci 68:679–689. https://doi.org/10.1007/s12665-012-1782-0
UNSCEAR (2000) United Nations scientific committee on the effects of atomic radiation sources and effects of ionizing radiation, report to the general assembly, with scientific annexes. UNSCEAR Rep. https://doi.org/10.1097/00004032-199907000-00007
UNSCEAR (2006) Report, volume 1–report to the general assembly, with scientific annexes A and B. Radiat Prot Dosim 138:187–189. https://doi.org/10.1093/rpd/ncp262
UNSCEAR (2008) United Nations scientific committee on the effects of atomic radiation report, sources and effects of ionizing radiation: radiation research. UNSCEAR
Varley NR, Flowers AG (1998) Indoor radon prediction from soil gas measurements. Health Phys. https://doi.org/10.1097/00004032-199806000-00009
World Health Organization (2009) WHO handbook on indoor radon. WHO
https://www.radonova.com, Markus 10 User's Guide. measurements of radon in soil.
Acknowledgements
The authors are grateful to the Abdus Salam ICTP for its support through the OEA-AF-12 project at CEPAMOQ. The Environmental Radioactivity Network Center (ERAN) is thanked for project acceptance and funding through FY-21-14. The International Atomic Energy Agency (IAEA) is thanked for funding and technical support through the CMR9009 TC Project. The Ministry of Scientific Research and Innovation of Cameroon is acknowledged for funding the field works through the Public Investment Budget 2020 allocated to the Institute of Geological and Mining Research. The Institute of Geological and Mining Research (IRGM) is thanked for the support to carry out field work. The Local Material Promotion Authority (MIPROMALO) is thanked for the various internships granted.
Funding
This work was supported by ERAN [FY-21-14], the International Atomic Energy Agency [CMR9009], Abdus Salam International Centre for Theoretical Physics [OEA-AF-12], and the Ministry of Scientific Research and Innovation of Cameroon [Public Investment Budget 2020].
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Data collection was performed by SB, NN II, and HYA. Data analysis was performed by SB, Saïdou, CK, MH, and BD. The first draft of the manuscript was written by SB, supervised by Saïdou, KN, and ST. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Bachirou, S., Saïdou, Kranrod, C. et al. Mapping in a radon-prone area in Adamawa region, Cameroon, by measurement of radon activity concentration in soil. Radiat Environ Biophys 62, 427–439 (2023). https://doi.org/10.1007/s00411-023-01042-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00411-023-01042-3