Variations of outdoor radon concentrations in Hong Kong

Man, C.K.; Yeung, H.S.

doi:10.1016/s0265-931x(97)00078-7

Cited by 9 publications

(2 citation statements)

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“…Though studies of indoor radon in Hong Kong had been conducted since the 1980s (Tso and Li, 1987;Man et al, 1994;Man and Yeung, 1998), long-term study of atmospheric radon in the territory is still lacking. For this reason, the Hong Kong Observatory started a long-term programme for continuous measurement of atmospheric radon concentration in Hong Kong in 2007.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric radon in Hong Kong

Chan

Lee

Tsui

2010

Journal of Environmental Radioactivity

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Section: Introductionmentioning

confidence: 99%

Atmospheric radon in Hong Kong

Chan

Lee

Tsui

2010

Journal of Environmental Radioactivity

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“…Radon generates the main natural source of radiation exposure for human beings (Nazaroff 1992;Man and Yeung 1998;Ielsch et al 2001) and health risks that are associated with inhalation and ingestion of radon's decay products in buildings has become an important issue (Nazaroff 1992;Steinbuch et al 1999). Rn) is the radioactive decay product of radium-226 ( 226 Ra) and is a colorless, odorless, and almost chemically inert radioactive gas.…”

Section: Introductionmentioning

confidence: 99%

A geostatistical approach for mapping and uncertainty assessment of geogenic radon gas in soil in an area of southern Italy

et al. 2009

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Spatial distribution of concentrations of radon gas in the soil is important for defining high risk areas because geogenic radon is the major potential source of indoor radon concentrations regardless of the construction features of buildings. An area of southern Italy (CatanzaroLamezia plain) was surveyed to study the relationship between radon gas concentrations in the soil, geology and structural patterns. Moreover, the uncertainty associated with the mapping of geogenic radon in soil gas was assessed. Multi-Gaussian kriging was used to map the geogenic soil gas radon concentration, while conditional sequential Gaussian simulation was used to yield a series of stochastic images representing equally probable spatial distributions of soil radon across the study area. The stochastic images generated by the sequential Gaussian simulation were used to assess the uncertainty associated with the mapping of geogenic radon in the soil and they were combined to calculate the probability of exceeding a specified critical threshold that might cause concern for human health. The study showed that emanation of radon gas radon was also dependent on geological structure and lithology. The results have provided insight into the influence of basement geochemistry on the spatial distribution of radon levels at the soil/atmosphere interface and suggested that knowledge of the geology of the area may be helpful in understanding the distribution pattern of radon near the earth's surface.

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