Author(s)

Weiwei Huang, Yanan Hu, Jinjun Zhu, Zenan Cen, Jiali Bao^*

Research Team of Biophysics and Medical Engineering, Bioelectromagnetics Laboratory of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, China.

In order to evaluate the electromagnetic environment of 5G base station, measurement and evaluation of the electromagnetic environment are studied. The 12 measuring points are chosen on the roof, inside and outside of the building, which has a 5G base station on the top. The electric field intensity, magnetic field intensity, and power density have been measured. The measurement methods include background measurement and work measurement. Background measurement is the measurement of environmental electromagnetic field (EMF) before the installation of 5G base station while the working measurement is the measurement after the installation of 5G base station. The evaluation methods include t-test for qualitative evaluation and electromagnetic gain for quantitative evaluation. The results show that the electromagnetic environment after the installation of 5G base station in most places is different from that in the background. And the environmental electromagnetic fields in certain parts are lower than those in the background. The conclusions are as follows: 1) The electromagnetic environment of 5G base station is far lower than the control limit of the national standard and conforms to the national standard; 2) The electromagnetic environment of 5G base station has little impact on the electromagnetic environment; 3) It is not sufficient to assume that 5G is harmful to health without the results of the epidemiological investigation; 4) Before the construction of 5G base station, do background EMF detection, which can provide support for future evaluation.

5G Base Station, Electromagnetic Environment, Health, Biological Effects

Huang, W. , Hu, Y. , Zhu, J. , Cen, Z. and Bao, J. (2022) The Measurement and Evaluation of the Electromagnetic Environment from 5G Base Station. Detection, 9, 1-11. doi: 10.4236/detection.2022.91001.