Exploring atmospheric radon with airborne gamma-ray spectroscopy. (December 2017)
- Record Type:
- Journal Article
- Title:
- Exploring atmospheric radon with airborne gamma-ray spectroscopy. (December 2017)
- Main Title:
- Exploring atmospheric radon with airborne gamma-ray spectroscopy
- Authors:
- Baldoncini, Marica
Albéri, Matteo
Bottardi, Carlo
Minty, Brian
Raptis, Kassandra G.C.
Strati, Virginia
Mantovani, Fabio - Abstract:
- Abstract: 222 Rn is a noble radioactive gas produced along the 238 U decay chain, which is present in the majority of soils and rocks. As 222 Rn is the most relevant source of natural background radiation, understanding its distribution in the environment is of great concern for investigating the health impacts of low-level radioactivity and for supporting regulation of human exposure to ionizing radiation in modern society. At the same time, 222 Rn is a widespread atmospheric tracer whose spatial distribution is generally used as a proxy for climate and pollution studies. Airborne gamma-ray spectroscopy (AGRS) always treated 222 Rn as a source of background since it affects the indirect estimate of equivalent 238 U concentration. In this work the AGRS method is used for the first time for quantifying the presence of 222 Rn in the atmosphere and assessing its vertical profile. High statistics radiometric data acquired during an offshore survey are fitted as a superposition of a constant component due to the experimental setup background radioactivity plus a height dependent contribution due to cosmic radiation and atmospheric 222 Rn. The refined statistical analysis provides not only a conclusive evidence of AGRS 222 Rn detection but also a (0.96 ± 0.07) Bq/m 3 222 Rn concentration and a (1318 ± 22) m atmospheric layer depth fully compatible with literature data. Graphical abstract: Highlights: An airborne gamma-ray survey over the sea up to 3 km altitude is presented. AAbstract: 222 Rn is a noble radioactive gas produced along the 238 U decay chain, which is present in the majority of soils and rocks. As 222 Rn is the most relevant source of natural background radiation, understanding its distribution in the environment is of great concern for investigating the health impacts of low-level radioactivity and for supporting regulation of human exposure to ionizing radiation in modern society. At the same time, 222 Rn is a widespread atmospheric tracer whose spatial distribution is generally used as a proxy for climate and pollution studies. Airborne gamma-ray spectroscopy (AGRS) always treated 222 Rn as a source of background since it affects the indirect estimate of equivalent 238 U concentration. In this work the AGRS method is used for the first time for quantifying the presence of 222 Rn in the atmosphere and assessing its vertical profile. High statistics radiometric data acquired during an offshore survey are fitted as a superposition of a constant component due to the experimental setup background radioactivity plus a height dependent contribution due to cosmic radiation and atmospheric 222 Rn. The refined statistical analysis provides not only a conclusive evidence of AGRS 222 Rn detection but also a (0.96 ± 0.07) Bq/m 3 222 Rn concentration and a (1318 ± 22) m atmospheric layer depth fully compatible with literature data. Graphical abstract: Highlights: An airborne gamma-ray survey over the sea up to 3 km altitude is presented. A theoretical model of the count rate in the presence of radon is developed. The concentration and vertical distribution of atmospheric radon is investigated. Airborne gamma-ray spectroscopy has high potential in measuring atmospheric radon. … (more)
- Is Part Of:
- Atmospheric environment. Volume 170(2017)
- Journal:
- Atmospheric environment
- Issue:
- Volume 170(2017)
- Issue Display:
- Volume 170, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 170
- Issue:
- 2017
- Issue Sort Value:
- 2017-0170-2017-0000
- Page Start:
- 259
- Page End:
- 268
- Publication Date:
- 2017-12
- Subjects:
- Lower atmosphere -- Airborne gamma-ray spectroscopy -- Atmospheric radon vertical profile -- Count rate theoretical modeling -- χ2 minimization analysis
Air -- Pollution -- Periodicals
Air -- Pollution -- Meteorological aspects -- Periodicals
551.51 - Journal URLs:
- http://www.sciencedirect.com/web-editions/journal/13522310 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.atmosenv.2017.09.048 ↗
- Languages:
- English
- ISSNs:
- 1352-2310
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1767.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5056.xml