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A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece

Owing to the advancement of wireless technologies, there is a strong public perception of increasing exposure to Radiofrequency (RF) electromagnetic fields (EMF). The aim of this study is to determine the evolution of EMF in the environment, and consequently, human exposure to them, over a period of...

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Autores principales: Manassas, Athanasios, Apostolidis, Christos, Iakovidis, Serafeim, Babas, Dimitrios, Samaras, Theodoros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447458/
https://www.ncbi.nlm.nih.gov/pubmed/37612387
http://dx.doi.org/10.1038/s41598-023-41034-3
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author Manassas, Athanasios
Apostolidis, Christos
Iakovidis, Serafeim
Babas, Dimitrios
Samaras, Theodoros
author_facet Manassas, Athanasios
Apostolidis, Christos
Iakovidis, Serafeim
Babas, Dimitrios
Samaras, Theodoros
author_sort Manassas, Athanasios
collection PubMed
description Owing to the advancement of wireless technologies, there is a strong public perception of increasing exposure to Radiofrequency (RF) electromagnetic fields (EMF). The aim of this study is to determine the evolution of EMF in the environment, and consequently, human exposure to them, over a period of about two decades, spanning from the end of 2003 until February 2022. The study is based on data collected by two non-ionizing radiation monitoring networks in Greece. The networks consist of fixed EMF sensors that register the RMS electric field value every 6 min, on a 24 h basis. We used the Seasonal–Trend decomposition method using (LOESS), known as the STL method to decompose the time series into trend, seasonal, and noise components. Additionally, since the sensors include frequency filters for separating the cellular frequencies, the recorded data were used to identify the exposure contribution by cellular networks in comparison to other EMF sources. The study indicates that RF-EMF do not explicitly decrease or increase but rather fluctuate over time. Similarly, the contribution of mobile cellular networks to the total field change over time.
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spelling pubmed-104474582023-08-25 A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece Manassas, Athanasios Apostolidis, Christos Iakovidis, Serafeim Babas, Dimitrios Samaras, Theodoros Sci Rep Article Owing to the advancement of wireless technologies, there is a strong public perception of increasing exposure to Radiofrequency (RF) electromagnetic fields (EMF). The aim of this study is to determine the evolution of EMF in the environment, and consequently, human exposure to them, over a period of about two decades, spanning from the end of 2003 until February 2022. The study is based on data collected by two non-ionizing radiation monitoring networks in Greece. The networks consist of fixed EMF sensors that register the RMS electric field value every 6 min, on a 24 h basis. We used the Seasonal–Trend decomposition method using (LOESS), known as the STL method to decompose the time series into trend, seasonal, and noise components. Additionally, since the sensors include frequency filters for separating the cellular frequencies, the recorded data were used to identify the exposure contribution by cellular networks in comparison to other EMF sources. The study indicates that RF-EMF do not explicitly decrease or increase but rather fluctuate over time. Similarly, the contribution of mobile cellular networks to the total field change over time. Nature Publishing Group UK 2023-08-23 /pmc/articles/PMC10447458/ /pubmed/37612387 http://dx.doi.org/10.1038/s41598-023-41034-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Manassas, Athanasios
Apostolidis, Christos
Iakovidis, Serafeim
Babas, Dimitrios
Samaras, Theodoros
A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece
title A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece
title_full A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece
title_fullStr A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece
title_full_unstemmed A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece
title_short A study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in Greece
title_sort study of the long term changes in the electromagnetic environment using data from continuous monitoring sensors in greece
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447458/
https://www.ncbi.nlm.nih.gov/pubmed/37612387
http://dx.doi.org/10.1038/s41598-023-41034-3
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