Non‐invasive monitoring of the relation between building materials and indoor radon pollution

Lamonaca, Francesco; Vasile, Monica; Nastro, A.

doi:10.1049/iet-smt.2013.0141

Cited by 12 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…International Agency for Research on Cancer (IARC/OMS) has classified Radon gas as a carcinogenic agent of group 1 (verified carcinogenic for human) [2]- [4]. Radon gas accumulation is determined mainly by uranium/radium concentration into the soil as well as in building materials [5], [6]. Radon (Rn) is a radioactive gas, from group 18 of the periodic table (noble gas), generated by the radioactive decay of radium.…”

Section: Introductionmentioning

confidence: 99%

“…There are active and passive methods for the monitoring of the radon level implemented in several devices often expensive or that needs for a post processing in specialized laboratories of the sensing element. Measurement instruments based on active method include electret ion chambers, scintillation chamber and superficial barrier devices, the ones based on passive method include alpha track detectors, active carbon absorption detector and electronic detector [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Mathematical Model for a Radon Detection Method Based on Carbon Nanotube Sensor

Nicolescu

Lamonaca

Iuliano

et al. 2022

2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn)

Self Cite

View full text Add to dashboard Cite

This article is proposing a mathematical model as a basis for radon detection by measurement alpha particle concentration with a carbon nanotubes-based sensor. The working principle at the basis of the mathematical model of the presented sensor is based on the fact that, the concentration of alpha particle in the air is a linear function of radon concentration. The collision between each alpha particle and the attachment of alpha particle to the carbon nanotube, changes the nanotube's own oscillation frequency. After activation, the carbon nanotubes oscillations in frequency depends on their own geometrical dimensions and their mechano-electrical properties. The initial oscillation frequencies spectra of the matrix of carbon nanotube with the same geometrical dimension is compared with the oscillation frequency spectra collected after the sensor is exposed to air sample. Based on their relative frequency variations of the recorded spectra, the radon concentration is evaluated. Radon concentration is determined on the bases of the linear relationship between its concentration and the alpha particles one. According to these theoretical assumptions, the use of carbon nanotubes sensor appears to be suitable for radon concentration measurement with the advantages to be a reusable and a low cost solution.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Mathematical Model for a Radon Detection Method Based on Carbon Nanotube Sensor

Nicolescu

Lamonaca

Iuliano

et al. 2022

2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, the idea of using mobile stations to help air pollution monitoring is spreading [1], [4], [9]. Currently, several projects worldwide for air quality monitoring are based on different low-cost sensors, which can be either found in the form of a commercial device for specific gas detection or integrated into an array that includes various sensors, [10]- [14]. The behaviour of these low-cost sensors is affected by chemical interference and environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Improved Fine Particles Monitoring in Smart Cities by Means of Advanced Data Concentrator

Castello

Sulis

2021

IEEE Trans. Instrum. Meas.

View full text Add to dashboard Cite

Traffic reduction and air-quality improvement are among the main goals of several projects worldwide. This paper presents a fine particle monitoring based on heterogeneous air quality mobile sensors and an advanced data concentrator, AdDC, so that the level of pollution in the urban area, where few accurate fixed measurement stations are present, can be assessed with better accuracy. Some urban buses are used to carry low-cost sensors, thus implementing a mobile sensor network and increasing the time and space resolution of air quality information. The data obtained by these low-cost sensors is significantly affected by uncertainties, also due to atmospheric factors, such as humidity. The proposed AdDC processes all the obtained measurements and exploits the information obtained by the accurate fixed stations to improve the accuracy of the low-cost mobile sensors. In particular, a new compensation methodology, specifically targeted to the fine particles monitoring, is proposed. The monitoring of relative humidity is added, with the relevant on-the-fly calibration, so that the measured values can be used to correct the effects of humidity on PM2.5 sensors. The validity of the proposed system is proved by means of simulations performed on an appropriate set-up.

show abstract

“…Etching solution was prepared as a 25% NaOH solution on a hot plate. Detectors were floated in the etching solution at 90 °C for four hours [14]. The average radon concentration was then calculated by counting the tracks and Eq.1 [4,14]:…”

Section: Measurements and Methodsmentioning

confidence: 99%

Health Risk Assessment of Household Exposure to Indoor Radon in Association With the Dwelling's Age

Shahrokhi¹,

Shokraee²,

Reza³

et al. 2015

Journal of Radiation Protection and Research

View full text Add to dashboard Cite

Radon is a naturally occurring radioactive gas and a major indoor contribution of exposure to ionizing radiation in dwellings. 222Rn is a health hazard gas what is responsible for thousand lung cancer deaths every year. In this study, indoor radon concentrations present in thirty representative houses in Mahallat city, Iran, were determined in order to estimate lung cancer risk associated with residential radon exposure. Long-term passive method, using CR-39, was used to measure the radon concentration. The results showed an association between the age of the dwellings and the indoor radon concentration that was found, in that the concentration of radon tended to increase as the age of the dwelling also increased. The indoor radon concentrations were calculated to be within the range of 23±2 to 350±26 Bq․m . By taking into consideration the EPA recommendation and ICRP statement, the average annual risk of lung cancer from inhaled radon was calculated as 0.09%, 0.06%, 0.01%, and 0.03% for current smokers (CS), those who had ever smoked (ES), never smokers (NS) and the general population, respectively.

show abstract

Non‐invasive monitoring of the relation between building materials and indoor radon pollution

Cited by 12 publications

References 19 publications

A Mathematical Model for a Radon Detection Method Based on Carbon Nanotube Sensor

A Mathematical Model for a Radon Detection Method Based on Carbon Nanotube Sensor

Improved Fine Particles Monitoring in Smart Cities by Means of Advanced Data Concentrator

Health Risk Assessment of Household Exposure to Indoor Radon in Association With the Dwelling's Age

Contact Info

Product

Resources

About