| Literature DB >> 32531953 |
Chutima Kranrod1,2, Yuki Tamakuma1,3, Masahiro Hosoda1,3, Shinji Tokonami1.
Abstract
Radon (222Rn) and thoron (220Rn), sources of natural background radiation, have been the subjects of long-standing studies, including research into radon and thoron as major causes of lung cancer at domestic and international levels. In this regard, radon and thoron measurement studies have been widely conducted all over the world. Generally, the techniques used relate to passive nuclear track detectors. Some surveys have shown that passive monitors for radon are sensitive to thoron, and hence some measured results have probably overestimated radon concentrations. This study investigated radon and thoron measurements in domestic and international surveys using the passive radon-thoron discriminative monitor, commercially named RADUET. This paper attempts to provide an understanding of discriminative measurements of radon isotopes and to present an evidence-based roadmap.Entities:
Keywords: RADUET; radon; radon–thoron discrimination; thoron
Mesh:
Substances:
Year: 2020 PMID: 32531953 PMCID: PMC7312857 DOI: 10.3390/ijerph17114141
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Schematic views of the RADUET monitor (unit: mm).
Summary of the results obtained using RADUETs for radon and thoron surveys in various countries.
| Country | Study Area | Measuring Conditions | Radon Concentrations | Thoron Concentrations | Reference | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Distance from Wall (m) | Distance from Floor (m) | Min | Max | Mean | Min | Max | Mean | |||
| China | Yangxi and Yangdong | ~0.3 | ~1.8 | 27 | 476 | 124 ± 78 | 65 | 3957 | 1247 ± 1189 | [ |
| India | Odisha | 0.2–2.0 | 0.3–1.6 | 2 | 333 | 91 | <LLD * | 1004 | 105 | [ |
| Kerala | 1 | 21 | 6 ± 4 | 3 | 212 | 31 ± 13 | [ | |||
| Thailand | Chiang Mai | 0.2 | 1.0–2.0 | 35 | 209 | 57 ± 2 | - | - | - | [ |
| Japan | - | - | - | - | - | 14.3 ± 14.7 | - | - | - | [ |
| South Korea | Public building | - | - | - | 1004 | 61 ± 2 | - | - | 11 ± 3 | [ |
| Subway station | >0.3 | - | 9 | 98 | 34 ± 15 | - | - | - | [ | |
| Cameroon | Poli | 0.5 | 1.5-2.0 | 46 | 143 | 82 | 24 | 238 | 94 | [ |
| Lolodorf | 27 | 937 | 97 | 6 | 700 | 160 | ||||
| Betare-Oya | 88 | 282 | 133 | 4 | 383 | 92 | ||||
| Douala | 31 | 436 | 139 | 4 | 246 | 80 | ||||
| Kenya | Kilimambogo and Mrima Hill | ~0.2 | 2.0 | 16 | 163 | 59 ± 6 | <LLD * | 1295 | 270 ± 100 | [ |
| Australia | North Queensland | 0.05-2.5 | - | 60 | 390 | 140 ± 55 | 140 | 2600 | 1070 ± 510 | [ |
| Canada | Ottawa | ~0.5 and 0.2 from other objects | ~0.5–2.0 | 7 | 2117 | 104 | <4 | 210 | 8 | [ |
| Slovenia | - | 1.0 | 1.0–1.5 | 10 | 6870 | - | 4 | 1361 | - | [ |
| Hungary | Closed uranium mine | 0–2.0 | 1.0–1.5 | 37 | 2195 | 579 | 1 | 285 | 31 | [ |
| Republic of Srpska | Banja Luka | ~0.1 and 0.5 from corners | 1.5–2.0 | - | - | - | 7 | 198 | 63 ± 8 | [ |
| FYR Macedonia | - | >0.5 and ≥0.2 from other objects | 1.0–1.5 | - | 1276 | 84 ± 2 | 3 | 272 | 28 ± 2 | [ |
| Serbia | Central Kosovo, North Kosovo, Prizren and Southern Serbia | 0 | - | 14 | 1640 | 459 | 1 | 635 | 128 | [ |
| Romania | The north-western part | ~0.3 | 1.0 | 31 | 414 | 215 ± 10 | <LLD * | 235 | 70 ± 3 | [ |
| Ireland | - | 0 | - | - | - | - | <1 | 174 | 22 | [ |
* LLD = Lower Limit of Detection.