The Indoor Radon Concentration within the Tunnels of the Cholula Pyramid Through a Nuclear Tracks Methodology

Flores, A.; Palomino-Merino, R.; Espinosa, Enrique; Castaño, V. M.; Juárez, Eduardo Merlo; Sanchez, M.; Espinosa, G.

doi:10.15415/jnp.2016.41008

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Alpha track detectors exposed for at least three months within buildings have been used in the majority of national measurement campaigns [10,11]. The indoor radon concentration in the Cholula along the Pyramid tunnels was described by Lima Flores et al, [12]. It contributes to the understanding of the radon dynamic inside of the Pyramid tunnels and to evaluate the radiological health risk to visitors, archaeologists, anthropologists and persons who spend extended periods inside the Pyramid.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Indoor Radon Gas Concentration in National Open University of Nigeria: A Case Study of Calabar Study Centre

Lawal,

Inyang,

Ibanga

et al. 2023

East Eur. J. Phys.

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The current work deals with indoor radon (222Rn) concentrations measurements in the Calabar Study Centre of the National Open University of Nigeria using a Corentium Arthings digital radon detector meter for seven days representing a short–term average measurement of indoor radon gas concentration level. The geographical coordinates were recorded using a hand-held geographical positioning system for the sample point. Measurement were taken for seven days and the following data where obtained 83±2.19 Bq/m3,80±3.69 Bq/m3,86±5.57 Bq/m3,84±1.59 Bq/m3,82±3.59 Bq/m3,81±4.89 Bq/m3 and 85 ±5.59 Bq/m3.The average radon(222Rn) concentration level was found to be 83 ± 3.87 Bq/m3 with a geometric mean of 82 ± 3.54 Bq/m3. It was observed that the radon concentration was below the reference level of 100 Bq/m3 recommended by the World Health Organization (WHO). Although the current exposure of members of the public to natural radiation is not critical, the situation could change abruptly when other activities commenced. The excess life time cancer risk calculated for 70 years, 60 years, 50 years, 40 years and 30 years were 1.72 × 10−3,1.65× 10−3,1.39× 10−3,1.44× 10−3 and 0.69× 10−3 respectively. The calculated values of the excess life time cancer risk are all higher than the set limit of 0.029 × 10−3 by International Commission on Radiological Protection. However, there are no observed cases of lung cancer epidemic in this Centre. Therefore, it is advised to use fans and effective ventilation techniques to reduce radon levels. Identifying the regions of the country where people are most at risk from radon exposure should be the main goal of any national radon policy.

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Section: Introductionmentioning

confidence: 99%

Assessment of Indoor Radon Gas Concentration in National Open University of Nigeria: A Case Study of Calabar Study Centre

Lawal,

Inyang,

Ibanga

et al. 2023

East Eur. J. Phys.

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“…However, when it is required to measure the concentration of indoor radon it is not recommendable to place the CR-39 detector in the space to be quantified, because the material will be irradiated not only by the α particles emitted by radon-222 when it decays in polonium-218, but also by other ionizing particles that are in the environment [9]. Therefore, when observing the tracks generated in the material, it will not be possible to determine which ones were generated by α particles from 222 Rn and which by other charged particles.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Position of the CR-39 Polycarbonate Sheet Inside the Solid State Track Detector “Measuring Device” Through Computational Fluid Dynamics Technique

Flores

Palomino-Merino

Castaño

et al. 2021

J. Nucl. Phy. Mat. Sci. Rad. A.

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The “measuring device” is one of the most reliable, efficient and economic indoor radon dosimeters that exist. This device was developed by the Proyecto de Aplicaciones de la Dosimetría (PAD) at the Physics Institute of UNAM (IF-UNAM) and consists of a transparent rigid plastic cup, a CR-39 polycarbonate sheet and a standard size metal clip that is used to hold the polycarbonate in the center of the cup. The cup is wrapped and covered with a low-density polyurethane protector in order to prevent the detector from being irradiated by ionizing particles found in the environment. In this work, an analysis was carried out that allowed to understand how the radon concentration on the polycarbonate sheet varies when its height is changed with respect to the base of the plastic cup, in order to understand what position increase the probability of interaction between radon and the surface of the detector. For the development of this work, four computational simulations were performed with the technique called Computational Fluid Dynamics (CFD). The results shows that as the CR-39 is positioned more closed to the base of the cup, the probability of interaction of the radon and the detector increase. Based on these results it is concluded that, when there is a limit in the time in which a measuring device can be placed in the zone where it is desired to quantify indoor radon, it is recommended to collocated the CR-39 at 1 cm with respect to the base of the cup.

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“…For this reason, it is necessary to measure it in all enclosed spaces where people live or work [4][5][6][7][8][9] and mitigate it when their levels exceed the limits established by the different international organizations (148 Bq/m 3 for homes and 400 Bq/m 3 for places of work [10]). An advantage of radon for mitigation is that it can be adsorbed by a wide variety of solids, such as activated carbon and gels, this advantage is due to the ease it has to condense [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Indoor Radon Distribution Within a Room By Means of Computational Fluid Dynamics (CFD) Simulation

Flores

Palomino-Merino

Castaño

et al. 2020

J. Nucl. Phy. Mat. Sci. Rad. A.

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Radon gas is recognized by international organizations such as the United States Environmental Protection Agency (US-EPA) as the main contributor of radiation environmental to which human beings are exposed. Therefore, the evaluation of indoor radon concentration is a matter of public interest. The emanation and the income of the gas inside a room will generate a negative impact on the quality of the air when the place is not properly ventilated. Understanding how this gas will be distributed inside the room will allow to predict the spatial and temporal variations of radon levels and identify these parameters will provide important information that researchers can be used for calculate radiation dose exposure. Consequently, this studies can prevent a health risk for the people that live or work within the room. Currently, several researchers use the technique called Computational Fluid Dynamics (CFD) to simulate the distribution of gas radon, making use of the various commercial programs that exist in the market. In this work, three simulations were developed in rooms that have a similar geometry but different dimensions, in order to observe how the gas is distributed inside a closed space and to analyze how this distribution varies when the volume of the place is increased. The results show that as the volume of the site increases the radon is mitigated more rapidly and therefore has lower levels of concentration of this gas, as long as the level of radon emanation is kept constant.

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The Indoor Radon Concentration within the Tunnels of the Cholula Pyramid Through a Nuclear Tracks Methodology

Cited by 3 publications

References 5 publications

Assessment of Indoor Radon Gas Concentration in National Open University of Nigeria: A Case Study of Calabar Study Centre

Assessment of Indoor Radon Gas Concentration in National Open University of Nigeria: A Case Study of Calabar Study Centre

Optimization of the Position of the CR-39 Polycarbonate Sheet Inside the Solid State Track Detector “Measuring Device” Through Computational Fluid Dynamics Technique

Analysis of Indoor Radon Distribution Within a Room By Means of Computational Fluid Dynamics (CFD) Simulation

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