Long-Term Monitoring and Statistical Analysis of Indoor Radon Concentration near the Almaty Tectonic Fault

This study presents the results of a spatiotemporal analysis of indoor radon concentration dynamics at the Al-Farabi Kazakh National University (Almaty, Republic of Kazakhstan), located near the Almaty tectonic fault. The research is based on a 2.5-year monitoring campaign of radon levels using the RAMON-02A radiometer. The radon activity concentration ranged from 1.29 ± 0.19 to 149 ± 22 Bq/m3. The distribution of radon concentrations was found to follow a lognormal law, with a skewness coefficient of 1.55 and kurtosis of 4.7. The mean values were 28.7 ± 4.2 Bq/m3 (arithmetic mean) and 24.5 ± 3.6 Bq/m3 (geometric mean). Distinct seasonal and monthly variations were observed: the lowest concentrations were recorded during the summer months (August—20.8 ± 3.1 Bq/m3), while the highest were observed in spring and winter (May—34.0 ± 4.9 Bq/m3, December—34.2 ± 4.9 Bq/m3). The springtime increase in radon levels is attributed to thermobaric effects, limited ventilation, and precipitation, which contributes to soil sealing. Autocorrelation analysis revealed diurnal, seasonal, and annual fluctuations, as well as quasi-periodic variations of approximately 150 days, presumably linked to geophysical processes. Correlation analysis indicated a weak positive relationship between radon concentration and air temperature during winter and spring (≈0.2), and a pronounced negative correlation with atmospheric pressure in winter (−0.57). The influence of humidity was found to be minor and seasonally variable.

Authors

Institutions

Publication Details

Journal
Atmosphere
Published
2025-08-30
DOI
https://doi.org/10.3390/atmos16091027
Primary Topic
Radioactivity and Radon Measurements
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-Term Monitoring and Statistical Analysis of Indoor Radon Concentration near the Almaty Tectonic Fault

A.V. Yushkov, Kuralay Dyussebayeva, Yu. A. Zaripova, V. V. Dyachkov et al.
Atmosphere
Radioactivity and Radon Measurements
article

Long-Term Monitoring and Statistical Analysis of Indoor Radon Concentration near the Almaty Tectonic Fault

A.V. Yushkov, Kuralay Dyussebayeva, Yu. A. Zaripova, V. V. Dyachkov, Z. М. Biyasheva
article en

Abstract

This study presents the results of a spatiotemporal analysis of indoor radon concentration dynamics at the Al-Farabi Kazakh National University (Almaty, Republic of Kazakhstan), located near the Almaty tectonic fault. The research is based on a 2.5-year monitoring campaign of radon levels using the RAMON-02A radiometer. The radon activity concentration ranged from 1.29 ± 0.19 to 149 ± 22 Bq/m3. The distribution of radon concentrations was found to follow a lognormal law, with a skewness coefficient of 1.55 and kurtosis of 4.7. The mean values were 28.7 ± 4.2 Bq/m3 (arithmetic mean) and 24.5 ± 3.6 Bq/m3 (geometric mean). Distinct seasonal and monthly variations were observed: the lowest concentrations were recorded during the summer months (August—20.8 ± 3.1 Bq/m3), while the highest were observed in spring and winter (May—34.0 ± 4.9 Bq/m3, December—34.2 ± 4.9 Bq/m3). The springtime increase in radon levels is attributed to thermobaric effects, limited ventilation, and precipitation, which contributes to soil sealing. Autocorrelation analysis revealed diurnal, seasonal, and annual fluctuations, as well as quasi-periodic variations of approximately 150 days, presumably linked to geophysical processes. Correlation analysis indicated a weak positive relationship between radon concentration and air temperature during winter and spring (≈0.2), and a pronounced negative correlation with atmospheric pressure in winter (−0.57). The influence of humidity was found to be minor and seasonally variable.

AtmosphereVol. 16(9)
Al-Farabi Kazakh National University (KZ), Voronezh State University (RU)
Openalex Percentile: Top 67%
Radioactivity and Radon Measurements
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.