Seasonal Variation of Indoor Radon Concentration in the Tropics: Comparative studies between Kuala Lumpur, Malaysia and Kerala, India

2011 ◽  
Author(s):  
R. H. Mahat ◽  
P. J. Jojo ◽  
C. E. Pereira ◽  
Y. M. Amin
Keyword(s):  
Seasonal Variation ◽  
Comparative Studies ◽  
Radon Concentration ◽  
Indoor Radon ◽  
Kuala Lumpur ◽  
Indoor Radon Concentration ◽  
The Tropics

Seasonal variation of indoor radon concentration in a desert climate

2017 ◽  
Vol 130 ◽  
pp. 49-53 ◽  
Author(s):  
H.M. Al-Khateeb ◽  
M. Nuseirat ◽  
K. Aljarrah ◽  
M.-Ali.H. Al-Akhras ◽  
H. Bani-Salameh
Keyword(s):  
Seasonal Variation ◽  
Radon Concentration ◽  
Indoor Radon ◽  
Indoor Radon Concentration ◽  
Desert Climate

Distribution characteristics on indoor radon concentration of multiple-use facilities in Gwangju area

2019 ◽  
Vol 18 (2) ◽  
pp. 177-184 ◽  
Author(s):  
Min-jin Kim ◽  
Sang-su An ◽  
Min-cheol Cho ◽  
Se-il Park ◽  
Jong-min Kim ◽  
...  
Keyword(s):  
Radon Concentration ◽  
Indoor Radon ◽  
Distribution Characteristics ◽  
Multiple Use ◽  
Indoor Radon Concentration

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

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
T. Dicu ◽  
B. D. Burghele ◽  
M. Botoş ◽  
A. Cucoș ◽  
G. Dobrei ◽  
...  
Keyword(s):  
Radon Concentration ◽  
Residential Buildings ◽  
Indoor Radon ◽  
Smart Device ◽  
Correction Factors ◽  
Indoor Radon Concentration ◽  
Radon Measurements ◽  
The Impact ◽  
Monitoring Devices ◽  
Temporal Correction

AbstractThe 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.

Indoor radon concentration in the rural dwellings of Chhattisgarh state (India)

2006 ◽  
Vol 119 (1-4) ◽  
pp. 434-437 ◽  
Author(s):  
M. S. K. Khokhar ◽  
R. S. Kher ◽  
V. B. Rathore ◽  
T. V. Ramachandran
Keyword(s):  
Radon Concentration ◽  
Indoor Radon ◽  
Indoor Radon Concentration

scholarly journals Seasonal indoor radon studies in buildings of Accra Metropolis of Greater Accra region of Ghana

2018 ◽  
Vol 53 (3) ◽  
pp. 199-206 ◽  
Author(s):  
F. Otoo ◽  
E.O. Darko ◽  
M. Garavaglia ◽  
C. Giovani ◽  
S. Pividore ◽  
...  
Keyword(s):  
Radon Concentration ◽  
Rainy Season ◽  
Indoor Radon ◽  
Dry Season ◽  
Strong Positive Correlation ◽  
Cumulative Frequency Distribution ◽  
Indoor Radon Concentration ◽  
Kolmogorov Smirnov ◽  
Greater Accra Region ◽  
Action Levels

Indoor radon concentration for annual, rainy and dry season have been studied in 228 buildings which includes bedroom, kitchen, sitting room, laboratories and offices in Accra metropolis of Greater Accra of Ghana. The passive radon CR-39 SSNTD was used for this study. The cumulative frequency distribution, normalizing Q-Q plots, Kolmogorov-Smirnov and Shapiro-Wilk statistical test showed that the result of both workplaces and dwellings are not normally distributed. The strong positive correlation between the two seasons occurred at 95% confidence level with 2 tailed. The rainy season recorded highest coefficient variation of r2 = 0.982. Statistical analysis of median (39.3), AM (103.4), GM (57.9) and GSD (3.2) for rainy season were greater than that of the dry season of median (26.9), AM (88.2), GM (49.2) and GSD (2.8) respectively. Rainy season was found to contain high radon concentrations than the dry season for all the studied locations. In general, workplace had radon concentration far greater than dwellings. The results obtained from this study ranged between 13.6 to 533.7 Bq/m3, out of which 9.6%, 12.7% and 3.5% were found to be greater than action levels proposed by WHO, EC and ICRP.

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