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欧洲利用公开数据进行电磁场暴露评估。

Electromagnetic Fields Exposure Assessment in Europe Utilizing Publicly Available Data.

机构信息

CIRI-Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki, 57001 Thermi, Greece.

Radiocommunications Lab, Department of Physics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

出版信息

Sensors (Basel). 2022 Nov 4;22(21):8481. doi: 10.3390/s22218481.

DOI:10.3390/s22218481
PMID:36366179
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9654131/
Abstract

The ever-increasing use of wireless communication systems during the last few decades has raised concerns about the potential health effects of electromagnetic fields (EMFs) on humans. Safety limits and exposure assessment methods were developed and are regularly updated to mitigate health risks. Continuous radiofrequency EMF monitoring networks and in situ measurement campaigns provide useful information about environmental EMF levels and their variations over time and in different microenvironments. In this study, published data from the five largest monitoring networks and from two extensive in situ measurement campaigns in different European countries were gathered and processed. Median electric field values for monitoring networks across different countries lay in the interval of 0.67-1.51 V/m. The median electric field value across different microenvironments, as evaluated from in situ measurements, varied from 0.10 V/m to 1.42 V/m. The differences between networks were identified and mainly attributed to variations in population density. No significant trends in the temporal evolution of EMF levels were observed. The influences of parameters such as population density, type of microenvironment, and height of measurement on EMF levels were investigated.

摘要

在过去几十年中,无线通信系统的使用日益增多,这引发了人们对电磁场(EMF)对人类潜在健康影响的关注。安全限值和暴露评估方法已经制定,并定期进行更新,以减轻健康风险。连续的射频电磁场监测网络和现场测量活动提供了有关环境电磁场水平及其随时间和不同微环境变化的有用信息。在这项研究中,汇集和处理了来自五个最大的监测网络以及两个在不同欧洲国家进行的广泛现场测量活动的已发表数据。不同国家监测网络的中位数电场值在 0.67-1.51 V/m 之间。从现场测量评估的不同微环境中的中位数电场值从 0.10 V/m 到 1.42 V/m 不等。确定了网络之间的差异,主要归因于人口密度的变化。未观察到电磁场水平随时间演变的显著趋势。研究了人口密度、微环境类型和测量高度等参数对电磁场水平的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/34d7dba98d11/sensors-22-08481-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/1e77ca85df27/sensors-22-08481-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/fa5f7e1c70cc/sensors-22-08481-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/5ccfbf010d00/sensors-22-08481-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/8f49b9d9df14/sensors-22-08481-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/10c93b1279cc/sensors-22-08481-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/5da1437e61d1/sensors-22-08481-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/34d7dba98d11/sensors-22-08481-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/1e77ca85df27/sensors-22-08481-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/fa5f7e1c70cc/sensors-22-08481-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/5ccfbf010d00/sensors-22-08481-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/8f49b9d9df14/sensors-22-08481-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/10c93b1279cc/sensors-22-08481-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/5da1437e61d1/sensors-22-08481-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc8/9654131/34d7dba98d11/sensors-22-08481-g007.jpg

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本文引用的文献

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Health Phys. 2020 May;118(5):483-524. doi: 10.1097/HP.0000000000001210.
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Environ Res. 2019 Sep;176:108517. doi: 10.1016/j.envres.2019.05.048. Epub 2019 May 31.
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Spatial and temporal variability of personal environmental exposure to radio frequency electromagnetic fields in children in Europe.
利用希腊连续监测传感器的数据研究电磁环境的长期变化。
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