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Yang, J. ; Busen, H. ; Scherb, H. ; Hürkamp, K. ; Guo, Q.* ; Tschiersch, J.

Modeling of radon exhalation from soil influenced by environmental parameters.

Sci. Total Environ. 656, 1304-1311 (2019)
Postprint DOI PMC
Open Access Green
Atmospheric radioactive noble gas radon (Rn-222) originates from soil gas exhaled in the atmospheric surface layer. Radon exhalation rates from soil as well as corresponding meteorological and soil parameters were recorded for two subsequent years. Based on long-term field data, a statistical regression model for the radon exhalation and the most important influencing parameters soil water content, temperature of soil and air, air pressure and autocorrelation of the exhalation rate was established. The fitting result showed that the multivariate model can explain up to 61% of the variation of the exhalation rate. First, the exhalation rate increases up to 80 Bq m(-2) h(-1) with increasing soil water content. Later, at water content N10%, increasing soil wetness suppressed the exhalation rate: at values higher than 24% to approximately one third. The air temperature had a distinct positive effectwhile the soil temperature had a strong negative effect on the exhalation rate, indicating their different influencing-mechanisms on the exhalation. The air pressure was negligible. The lagged values of radon exhalation had to be included in the model, as the variable shows strong autocorrelation. (c) 2018 Elsevier B. V. All rights reserved.
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Icb_biostatistics icb_statcon
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Radon ; Exhalation Rate ; Statistical Model ; Soil Water Content ; Autocorrelation; Moisture-content; Emanation Power; Rn-222 Flux; Thoron; Dependence; Samples; Variability; Gas
Sprache englisch
Veröffentlichungsjahr 2019
Prepublished im Jahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 0048-9697
e-ISSN 1879-1026
Zeitschrift Science of the Total Environment, The
Quellenangaben Band: 656, Heft: , Seiten: 1304-1311 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Po Box 211, 1000 Ae Amsterdam, Netherlands
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Radiation Protection (ISS)
Institute of Computational Biology (ICB)
POF Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30205 - Bioengineering and Digital Health
Forschungsfeld(er) Radiation Sciences
Enabling and Novel Technologies
PSP-Element(e) G-501100-002
G-503800-001
DOI 10.1016/j.scitotenv.2018.11.464
WOS ID WOS:000455039600124
Scopus ID 85057590964
PubMed ID 30625659
Erfassungsdatum 2018-12-11
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