International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 197

Research Paper | Electronics & Communication Engineering | Nigeria | Volume 8 Issue 7, July 2019


Radiation Hazards from Base Station Emission: A Case Study of the Obio/Akpor Rivers state Nigeria

Obi Chidozie Anthonius | Muoneke Adaobi


Abstract: Analyzing the possible hazards from a GSM base station is very essential in our society today. The increasing need for GSM signal coverage in both cities and rural areas, has led to the proportional increase in the number of GSM base stations installed. The proximity of these GSM base stations to human residence became a thing of great concern to the public. In order to solve this problem, an android application (GSM signal monitoring) was used to obtain the level of radiation signals emitted at different distances from a GSM base station in Obio/Akpor area of Rivers state Nigeria. The values of signal power density obtained from sample sites of study, for the given period of time and was modeled with Microsoft excel 2013. The power density was also compared to the ICNIRP Guideline to ascertain compliance.


Keywords: ICNIRP Guideline Base Station, RF, GSM, radiation signals


Edition: Volume 8 Issue 7, July 2019,


Pages: 42 - 45


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Obi Chidozie Anthonius, Muoneke Adaobi, "Radiation Hazards from Base Station Emission: A Case Study of the Obio/Akpor Rivers state Nigeria", International Journal of Science and Research (IJSR), Volume 8 Issue 7, July 2019, pp. 42-45, https://www.ijsr.net/get_abstract.php?paper_id=ART20198863

Similar Articles with Keyword 'RF'

Downloads: 40 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Masters Thesis, Electronics & Communication Engineering, India, Volume 11 Issue 1, January 2022

Pages: 51 - 62

An Automated Detection and Segmentation of Tumor in Brain MRI using Machine Learning Technique

Priyanka Bharti

Share this Article

Downloads: 128 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper, Electronics & Communication Engineering, India, Volume 3 Issue 3, March 2014

Pages: 108 - 112

Design and Simulation of Four Stage Pipelining Architecture Using the Verilog

Rakesh M. R

Share this Article
Top