1
|
Petermann E, Bossew P, Kemski J, Gruber V, Suhr N, Hoffmann B. Development of a High-Resolution Indoor Radon Map Using a New Machine Learning-Based Probabilistic Model and German Radon Survey Data. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:97009. [PMID: 39292674 PMCID: PMC11410151 DOI: 10.1289/ehp14171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/20/2024]
Abstract
BACKGROUND Radon is a carcinogenic, radioactive gas that can accumulate indoors and is undetected by human senses. Therefore, accurate knowledge of indoor radon concentration is crucial for assessing radon-related health effects or identifying radon-prone areas. OBJECTIVES Indoor radon concentration at the national scale is usually estimated on the basis of extensive measurement campaigns. However, characteristics of the sampled households often differ from the characteristics of the target population owing to the large number of relevant factors that control the indoor radon concentration, such as the availability of geogenic radon or floor level. Furthermore, the sample size usually does not allow estimation with high spatial resolution. We propose a model-based approach that allows a more realistic estimation of indoor radon distribution with a higher spatial resolution than a purely data-based approach. METHODS A multistage modeling approach was used by applying a quantile regression forest that uses environmental and building data as predictors to estimate the probability distribution function of indoor radon for each floor level of each residential building in Germany. Based on the estimated probability distribution function, a probabilistic Monte Carlo sampling technique was applied, enabling the combination and population weighting of floor-level predictions. In this way, the uncertainty of the individual predictions is effectively propagated into the estimate of variability at the aggregated level. RESULTS The results show an approximate lognormal distribution of indoor radon in dwellings in Germany with an arithmetic mean of 63 Bq / m 3 , a geometric mean of 41 Bq / m 3 , and a 95th percentile of 180 Bq / m 3 . The exceedance probabilities for 100 and 300 Bq / m 3 are 12.5% (10.5 million people affected) and 2.2% (1.9 million people affected), respectively. In large cities, individual indoor radon concentration is generally estimated to be lower than in rural areas, which is due to the different distribution of the population on floor levels. DISCUSSION The advantages of our approach are that is yields a) an accurate estimation of indoor radon concentration even if the survey is not fully representative with respect to floor level and radon concentration in soil, and b) an estimate of the indoor radon distribution with a much higher spatial resolution than basic descriptive statistics. https://doi.org/10.1289/EHP14171.
Collapse
Affiliation(s)
- Eric Petermann
- Section Radon and NORM, Federal Office for Radiation Protection (BfS), Berlin, Germany
| | - Peter Bossew
- Section Radon and NORM, Federal Office for Radiation Protection (BfS), Berlin, Germany
| | | | - Valeria Gruber
- Department for Radon and Radioecology, Austrian Agency for Health and Food Safety, Linz, Austria
| | - Nils Suhr
- Section Radon and NORM, Federal Office for Radiation Protection (BfS), Berlin, Germany
| | - Bernd Hoffmann
- Section Radon and NORM, Federal Office for Radiation Protection (BfS), Berlin, Germany
| |
Collapse
|
2
|
Banríon MH, Elío J, Crowley QG. Using geogenic radon potential to assess radon priority area designation, a case study around Castleisland, Co. Kerry, Ireland. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2022; 251-252:106956. [PMID: 35780671 DOI: 10.1016/j.jenvrad.2022.106956] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Globally, indoor radon exposure is the leading cause of lung cancer in non-smokers and second most common cause after tobacco smoking. Soil-gas radon is the main contributor to indoor radon, but its spatial distribution is highly variable, which poses certain challenges for mapping and predicting radon anomalies. Measurement of indoor radon typically takes place over long periods of time (e.g. 3 months) and is seasonally adjusted to an annual average concentration. In this article we investigate the suitability of using soil-gas radon and soil-permeability measurements for rapid radon risk assessments at local scale. The area of Castleisland, Co. Kerry was chosen as a case study due to availability of indoor radon data and the presence of significant radon anomalies. In total, 135 soil-gas and permeability measurements were collected and complemented with 180 indoor radon measurements for an identical 6 km2 area. Both soil-gas and indoor radon concentrations ranged from very low (<10 kBqm-3, 0.1 Bqm-3) to anomalously high (>1433 kBqm-3, 65,000 Bqm-3) values. Our method classifies almost 50% of the area as a high radon potential area, and allows assessment of geogenic controls on radon distribution by including other geological variables. Cumulatively, the percentage of indoor radon variance explained by soil-gas radon concentration, bedrock geology, subsoil permeability and Quaternary geology is 34% (16%, 10%, 4% and 4% respectively). Soil-gas and indoor radon anomalies are associated with black shales, whereas the presence of karst and geological faults are other contributing factors. Sampling of radon soil-gas and soil permeability, used in conjunction with other geogenic data, can therefore facilitate rapid designation of radon priority areas. Such an approach demonstrates the usefulness of high-resolution geogenic maps in predicting indoor radon risk categories when compared to the application of indoor radon measurements alone. This method is particularly useful to assess radon potential in areas where indoor radon measurements are sparse or lacking, with particular application to rural areas, land rezoned for residential use, or for sites prior to building construction.
Collapse
Affiliation(s)
- M H Banríon
- Geology Department, School of Natural Sciences, Trinity College, Dublin 2, Ireland.
| | - J Elío
- Department of Planning, Aalborg University Copenhagen, Copenhagen, Denmark.
| | - Q G Crowley
- Geology Department, School of Natural Sciences, Trinity College, Dublin 2, Ireland.
| |
Collapse
|
3
|
Monahan E, Murphy P, Long S, Dowdall A. The effectiveness of passive sumps and static cowls in reducing radon levels in new build Irish dwellings. JOURNAL OF ENVIRONMENTAL RADIOACTIVITY 2022; 248:106866. [PMID: 35358917 DOI: 10.1016/j.jenvrad.2022.106866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
The most cost-effective way of protecting the population from radon is to ensure that new dwellings are built to prevent the entry of this gas from the ground below the building. One of the most common methods used to protect buildings from radon is the installation of a system to depressurize the subsoil below the building, reducing the ingress of the gas indoors. Laboratory based research has shown that the use of a wind-driven passive radon sump and static cowl has significant potential to protect new buildings in Ireland through depressurization. A field trial of this system was carried out in a sample of new Irish dwellings built to the requirements of Irish Building Regulations. The study focused on six unoccupied, adjacent, south-east facing dwellings of identical construction. The variables of occupancy, geology, building type, building material and weather were all controlled for, consequently, the study was carried out under highly controlled conditions. The radon levels in each of the dwellings were measured over a 6-week period under three test conditions: the passive sump closed, the passive sump open and the passive sump open with a static cowl installed. The results show an average reduction of 65% in radon levels due to the installation of a wind-driven passive sump. The cumulative effect of the installation of a passive sump plus a static cowl was an average reduction in radon levels of 75%. The number of observations that exceed the Government's Reference Level for dwellings of 200 Bq/m3 was reduced from 38% with the passive sump closed to 9% when the passive radon sump was in operation and 0% when both the passive radon sump and static cowl were installed. These results are statistically significant, and the cost is estimated at €100 per dwelling. The study concludes that the installation of a passive sump fitted with a static cowl in new dwellings is a low cost, effective method of reducing radon exposure in new Irish dwellings.
Collapse
Affiliation(s)
- E Monahan
- All Clear Radon Ltd., Redshire Road, Murntown, Co, Wexford, Ireland.
| | - P Murphy
- School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland.
| | - S Long
- Environmental Protection Agency, 3 Clonskeagh Square, Clonskeagh Road, Dublin 14, Ireland.
| | - A Dowdall
- Environmental Protection Agency, 3 Clonskeagh Square, Clonskeagh Road, Dublin 14, Ireland.
| |
Collapse
|
4
|
Bochicchio F, Fenton D, Fonseca H, García-Talavera M, Jaunet P, Long S, Olsen B, Mrdakovic Popic J, Ringer W. National Radon Action Plans in Europe and Need of Effectiveness Indicators: An Overview of HERCA Activities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:4114. [PMID: 35409799 PMCID: PMC8998705 DOI: 10.3390/ijerph19074114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/19/2022] [Accepted: 03/24/2022] [Indexed: 12/25/2022]
Abstract
Protection of the population and of workers from exposure to radon is a unique challenge in radiation protection. Many coordinated actions and a variety of expertise are needed. Initially, a National Radon Action Plan (NRAP) has been developed and implemented by some countries, while it is currently recommended by international organizations (e.g., World Health Organization) and required by international regulations, such as the European Council Directive 2013/59/Euratom and the International Basic Safety Standards on Radiation Protection and Safety of Radiation Sources, cosponsored by eight international organizations. Within this framework, the Heads of the European Radiological Protection Competent Authorities (HERCA) have organized activities aimed at sharing experiences to contribute toward the development and implementation of effective NRAPs. Two workshops were held in 2014 and 2015, the latter on radon in workplaces. As a follow-up to these, an online event took place in March 2021, and a second specific workshop on NRAP is planned for June 2022. These workshops were attended by experts from the competent authorities of European countries, relevant national and international organizations. The experience of several countries and the outcomes from these workshops have highlighted the need for adequate indicators of the effectiveness and progress of the actions of NRAPs, which could also be useful to implement the principle of optimization and the graded approach in NRAPs. In this paper, the activities of HERCA to support the development and implementation of effective NRAPs are described and some examples of effectiveness indicators are reported, including those already included in the NRAP of some European countries.
Collapse
Affiliation(s)
- Francesco Bochicchio
- National Center for Radiation Protection and Computational Physics, Italian National Institute of Health (ISS-Istituto Superiore di Sanità), 00161 Rome, Italy
| | - David Fenton
- Office of Radiation Protection and Environmental Monitoring, Environmental Protection Agency (EPA), Dublin 14, Ireland
| | - Heloísa Fonseca
- Emergency and Radiation Protection Department, Portuguese Environmental Agency (APA-Agência Portuguesa do Ambiente), 2610-124 Amadora, Portugal
| | | | - Pierrick Jaunet
- Ionizing Radiation and Health Department, French Nuclear Safety Authority (ASN-Autorité de Sûreté Nucléaire), 92120 Montrouge, France
| | - Stephanie Long
- Office of Radiation Protection and Environmental Monitoring, Environmental Protection Agency (EPA), Dublin 14, Ireland
| | - Bård Olsen
- Norwegian Radiation and Nuclear Safety Authority (DSA), 1361 Østerås, Norway
| | | | - Wolfgang Ringer
- Department for Radon and Radioecology, Austrian Agency for Health and Food Safety (AGES), 4020 Linz, Austria
| |
Collapse
|
5
|
Kussainova A, Bulgakova O, Aripova A, Khalid Z, Bersimbaev R, Izzotti A. The Role of Mitochondrial miRNAs in the Development of Radon-Induced Lung Cancer. Biomedicines 2022; 10:428. [PMID: 35203638 PMCID: PMC8962319 DOI: 10.3390/biomedicines10020428] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 12/07/2022] Open
Abstract
MicroRNAs are short, non-coding RNA molecules regulating gene expression by inhibiting the translation of messenger RNA (mRNA) or leading to degradation. The miRNAs are encoded in the nuclear genome and exported to the cytosol. However, miRNAs have been found in mitochondria and are probably derived from mitochondrial DNA. These miRNAs are able to directly regulate mitochondrial genes and mitochondrial activity. Mitochondrial dysfunction is the cause of many diseases, including cancer. In this review, we consider the role of mitochondrial miRNAs in the pathogenesis of lung cancer with particular reference to radon exposure.
Collapse
Affiliation(s)
- Assiya Kussainova
- Department of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy; (A.K.); (Z.K.)
- Department of General Biology and Genomics, Institute of Cell Biology and Biotechnology, L.N. Gumilyov Eurasian National University, Nur-Sultan, Akmola 010008, Kazakhstan; (O.B.); (A.A.)
| | - Olga Bulgakova
- Department of General Biology and Genomics, Institute of Cell Biology and Biotechnology, L.N. Gumilyov Eurasian National University, Nur-Sultan, Akmola 010008, Kazakhstan; (O.B.); (A.A.)
| | - Akmaral Aripova
- Department of General Biology and Genomics, Institute of Cell Biology and Biotechnology, L.N. Gumilyov Eurasian National University, Nur-Sultan, Akmola 010008, Kazakhstan; (O.B.); (A.A.)
| | - Zumama Khalid
- Department of Health Sciences, University of Genova, Via Pastore 1, 16132 Genoa, Italy; (A.K.); (Z.K.)
| | - Rakhmetkazhi Bersimbaev
- Department of General Biology and Genomics, Institute of Cell Biology and Biotechnology, L.N. Gumilyov Eurasian National University, Nur-Sultan, Akmola 010008, Kazakhstan; (O.B.); (A.A.)
| | - Alberto Izzotti
- Department of Experimental Medicine, University of Genoa, 16132 Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| |
Collapse
|