Study of terrestrial γ-ray background in presence of variable radioactivity from rain water

Nayak, P.K.; Gupta, Sunil; Mazumdar, I.; Raha, S.

doi:10.1016/j.astropartphys.2015.07.002

Cited by 8 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies have reported significant increase in 222 Rn through 214 Bi and 214 Pb lines during the rainfall and they attributed this increase to the radioactivity in rainwater (Damon and Kuroda, 1954;Bhandari, 1963;Katase et al, 1982;Horng and Jiang, 2003;Gusev et al, 2015;Nayak et al, 2016). Our observation of the increase in 214 Bi lines is in accordance with the earlier studies.…”

Section: Discussionsupporting

confidence: 92%

Response of Gamma-Ray Spectrum During Ockhi Cyclone

et al. 2020

View full text Add to dashboard Cite

Cyclone Ockhi hit Sri Lanka and southern parts of India in Nov-Dec 2017 with a devastating social impact. The present paper reports that the cyclone had a significant effect on the γ-ray flux measured by NaI (Tl) detector. An overall decrease is observed in the γ-ray flux during the passage of cyclone; however, a detailed investigation revealed that different energies show varying results. In the energy range between 250-450 keV, a decrease up to ∼14% is observed, whereas an increase up to ∼45% is observed in the energy range between 600 keV-2.7 MeV. The energies above 2.7 MeV do not show any change. This is the first-ever observation of the varying effects of the cyclone with the energy bands of the γ-ray spectrum. We found that the increase observed in the energy range of 600 keV-2.7 MeV is primarily due to the increase in the terrestrial radioactivity (peaks of 222 Rn daughters), which is brought over by the rainfall accompanied with the cyclone. The study indicates that the decrease in the lower energy range of the γ-ray flux could be due to the attenuation caused by the increased tropospheric air-mass associated with the cyclone over the observation site. The high energy γ-rays are not affected due to the cyclone.

show abstract

Section: Discussionsupporting

confidence: 92%

Response of Gamma-Ray Spectrum During Ockhi Cyclone

et al. 2020

View full text Add to dashboard Cite

show abstract

“…That makes sense because although both radon isotopes have similar concentrations in the atmosphere, the half life of 222 Rn is about 4 days while the half life of 220 Rn is about 56 s (from Toxicological profile for radon , 1990, by the Agency for Toxic Substances and Disease Registry of the U.S. Public Health Service in collaboration with the U.S. Environmental Protection Agency). These spectra are comparable to the ones obtained by Takeyasu et al [] and Nayak et al [] who found energetic peaks associated to the 214 Pb and 214 Bi radon‐ion daughters during rainy periods. As commented before, the spectra of the 13 storms are quite similar (this is why only one case is presented); however, it is important to comment that the radon‐ion daughters' peaks are higher during winter cases.…”

Section: Discussionsupporting

confidence: 89%

“…Radon‐ion daughters are products of the radiative decay chain of Uranium‐238 ( 238 U) and Thoron‐232 ( 232 Th). The existence of the increase of high‐energy radiation due to the radiative decay of radon‐ion daughters during rain is a phenomenon that has been studied in great detail [ Fujinami et al , ; Paatero and Hatakka , ; Vecchi et al , ; Takeyasu et al , ; Nayak et al , ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of energetic radiation associated with thunderstorms in the Ebro delta region in Spain

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Gaussian shapes. Interestingly, estimating the signal (in this case, cosmic γ-ray portion) in the presence of an unknown background (in this case, terrestrial γ-ray) may be less problematic, unlike the reverse situation [8,9,11]. To address this challenge, we utilized the statistical toolkit "RooFit," which simultaneously incorporates various statistical distributions to fit the recorded energy spectrum [12,13].…”

Section: Pos(icrc2023)802mentioning

confidence: 99%