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Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
Published on: May 2, 2018
Temporal 2G-5G RF-EMF exposure assessment in ten European countries during one year
Han Van Bladel1, Adriana Fernandes Veludo2, Nicolas Loizeau2
1Department of Information Technology, Ghent University/imec, 9052, Ghent, Belgium.
Long-term radiofrequency electromagnetic field (RF-EMF) monitoring revealed consistent diurnal patterns and significant day-night contrasts across multiple frequency bands. This pilot study highlights temporal variability in mobile communication exposure across Europe.
Area of Science:
- Environmental Science
- Electromagnetic Field Exposure
- Telecommunications Engineering
Background:
- Increasing mobile network densification necessitates long-term environmental radiofrequency electromagnetic field (RF-EMF) exposure assessment.
- Existing RF-EMF studies often lack comprehensive temporal variability analysis across multiple frequency bands and countries.
Purpose of the Study:
- To establish a multi-country sensor network for collecting long-term RF-EMF exposure data, including 5G.
- To investigate temporal trends and patterns in RF-EMF exposure across different European locations.
Main Methods:
- Deployed twenty frequency-selective sensors in ten European countries for continuous E-field strength measurements.
- Measured RF-EMF in four mobile communication bands (806 MHz, 942 MHz, 1842 MHz, 3625 MHz) over 17 months.
- Analyzed data for exposure levels, temporal patterns, and variability using calibrated measurements.
Main Results:
- Observed strong, recurring diurnal patterns in RF-EMF across all measured frequency bands.
- Noted significant day-night contrasts, with nighttime values decreasing by up to 48.4% (1842 MHz band).
- Found substantial temporal variability, particularly in higher frequency bands (median R-factor of 0.45 for 3625 MHz).
Conclusions:
- Long-term RF-EMF monitoring at fixed sites can reveal significant temporal exposure patterns.
- This pilot study provides a foundation for extensive, multi-country exposure monitoring networks.
- Findings underscore the importance of considering temporal dynamics in RF-EMF exposure assessments.
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