Diurnal and seasonal variations of radon (222Rn) and their dependence on soil moisture and vertical stability of the lower atmosphere at Pune, India

Victor, N. Jeni; Siingh, Devendraa; Singh, R. P.; Kamra, A. K.

doi:10.1016/j.jastp.2019.105118

Cited by 21 publications

(10 citation statements)

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“…Radon and its daughter progeny concentrations were measured by Radon detector (RTM 2200 of SARAD GmbH, Germany) from January to December 2012. Details of measurement technique are given in Victor et al (2019). The inter comparison of small ions derived from 222 Rn detector and observed from NAIS has been shown in detail by Singh et al (2013b) and .…”

Section: Data and Analysismentioning

confidence: 96%

“…Hence, the small cluster ions became extremely low (< 20 cm-3) during morning hours. However, due to the capping effect, a sudden increase of Radon concentration may be observed occasionally during the initial periods of rainfall (Schumann et al 1988;Victor et al 2019).…”

Section: Non-event Eventmentioning

confidence: 99%

“…Variations in the ion production rate are primarily related to the atmospheric boundary layer (ABL) development, soil conditions and origin of air masses (Siingh et al 2018;Victor et al, 2019). 222 Rn concentration is strongly related to the vertical stability of the ABL (Kataoka et al 1998).…”

Section: Conductivity Relation With Ion Concentrationmentioning

confidence: 99%

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Analysis of Positive and Negative Atmospheric Air Ions During New Particle Formation (NPF) Events over Urban City of India

et al. 2021

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Simultaneous measurements of ion-mobility spectra of both polarities with a Neutral Air Ion Spectrometer (NAIS) operating in the mobility range 3.16-0.00133 cm 2 V −1 s −1 (mass diameter range 0.36-47.1 nm) and concentration of Radon ( 222 Rn) were carried out at Pune (18° 31′ N, 73° 55′ E, 560 m above mean sea level). 222 Rn progenies measured by a Radon detector, RTM 2200, and surface meteorological parameters during the period January 2012 to December 2012 were analysed. During this period, NPF events were observed on 28 days and 222 days were without any event (non-event). NPF events mostly occurred by photochemistry in the morning hours of the pre-monsoon season (~ 62%) during the hottest months (April and May) of the year. Authors studied different features of new particle formation (NPF) events, and their dependence on meteorological parameters. The annual mean diurnal variations of different categories of ions show a primary maximum in the morning hour along with the secondary maxima in the evening hour and a minimum in the afternoon. The results are explained in terms of the atmospheric boundary layer changes and katabatic wind blowing along the hill slope surrounded by the measurement site. The computed ion production rate correlates (correlation coefficient R = 0.67) well with the observed small cluster ions. Also, the role of temperature and humidity on the ion concentration on both for the event and non-event days are discussed. Using the principal component analysis (PCA), the first five principal components were found to represent more than 98% of the total variance on event and non-event days. Even the first principal component explained about ~ 86% (65%) of the total variance on non-event (event) days. The statistical analysis also confirms that the small and large-ions on non-event days originated from a similar physical/chemical background.

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Section: Data and Analysismentioning

confidence: 96%

Section: Non-event Eventmentioning

confidence: 99%

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Analysis of Positive and Negative Atmospheric Air Ions During New Particle Formation (NPF) Events over Urban City of India

et al. 2021

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“…This exhalation is often associated with gasses like methane, carbon dioxide, hydrogen, and helium. Rn exhalation can be affected by soil and atmospheric processes, like metrological, geological, as well as other physical factors (Külahcı and Şen, 2014;Victor et al, 2019). This makes it important in studying the relationships between lithosphere and atmospheric processes.…”

Section: Introductionmentioning

confidence: 99%

Radon transport from soil to air and Monte-Carlo simulation

Muhammad

Külahçı

2022

Journal of Atmospheric and Solar-Terrestrial Physics

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The exhalation of geochemical entities from soil to air is significant to understand Lithosphere-Atmospheric relationships. Some of these geochemical entities are capable of modifying the lower atmosphere, and they are employed in various studies. Radon is one of the geochemical gasses widely recognized as a dominant ionization source in near ground regions of the troposphere. The steady state Rn transport equation is considered in many cases for estimating Rn migration from soil to air on the condition that the time evolution is ignored. A method is proposed for estimating radon space-time transport from soil to air. This is achieved by solving the radon transport equation in soil with special boundary conditions. Similar results are obtained with some experimented models, as well as reported radon values in literature for some set of parameter combinations.Strengths and limitations of the method are discussed. The model is useable to study Lithosphere-Atmosphere relationships. It can also be significant in other studies like the Global Electric Circuit or Seismo-Ionospheric studies.

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“…Therefore, it is recommended that either the passive detectors to be installed for a longer period of time, i.e. 6–12 months 28 – 31 , or to reduce the uncertainties associated with the temporal correction factor assessment by other means 32 – 36 . The increase of measurement period, however, is not often an option in the present age of speed, especially in countries where real estate transactions are conditioned by the existence of a radon measurement 37 , 38 .…”

Section: Introductionmentioning

confidence: 99%

A new approach to radon temporal correction factor based on active environmental monitoring devices

Dicu

Burghele

Botoș

et al. 2021

Sci Rep

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The present study aims to identify novel means of increasing the accuracy of the estimated annual indoor radon concentration based on the application of temporal correction factors to short-term radon measurements. The necessity of accurate and more reliable temporal correction factors is in high demand, in the present age of speed. In this sense, radon measurements were continuously carried out, using a newly developed smart device accompanied by CR-39 detectors, for one full year, in 71 residential buildings located in 5 Romanian cities. The coefficient of variation for the temporal correction factors calculated for combinations between the start month and the duration of the measurement presented a low value (less than 10%) for measurements longer than 7 months, while a variability close to 20% can be reached by measurements of up to 4 months. Results obtained by generalized estimating equations indicate that average temporal correction factors are positively associated with CO2 ratio, as well as the interaction between this parameter and the month in which the measurement took place. The impact of the indoor-outdoor temperature differences was statistically insignificant. The obtained results could represent a reference point in the elaboration of new strategies for calculating the temporal correction factors and, consequently, the reduction of the uncertainties related to the estimation of the annual indoor radon concentration.

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Diurnal and seasonal variations of radon (222Rn) and their dependence on soil moisture and vertical stability of the lower atmosphere at Pune, India

Cited by 21 publications

References 53 publications

Analysis of Positive and Negative Atmospheric Air Ions During New Particle Formation (NPF) Events over Urban City of India

Analysis of Positive and Negative Atmospheric Air Ions During New Particle Formation (NPF) Events over Urban City of India

Radon transport from soil to air and Monte-Carlo simulation

A new approach to radon temporal correction factor based on active environmental monitoring devices

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