The Electromagnetic Field Intensity Map of Sivas Cumhuriyet University Campus at Different Frequencies

The speedy progress of the global system for mobile communication services and the ensuing increased electromagnetic field (EMF) exposure to the human body have generated debate on the potential hazard with attentiveness to human health. The aim of this study is to provide a homogeneous distribution of electromagnetic field sources on our university campus and determine possible risk zones via the electromagnetic intensity maps drawn using the data to be obtained from the measurement results. It was determined how much electromagnetic intensity of the campus was under 4 different high frequencies (900, 1800, 2400, and 2600 MHz), which were determined using the geographic information system. Electromagnetic field measurements were performed at points where the topographic structure of the land allowed, at intervals of about 50 meters in the parts with building density inside the campus, and at intervals ranging between 100 and 120 meters in the open areas where there were no buildings, and geographical location information about the points where these measurements were made was specified with an accuracy of cm level. As a result, our measurement values are also below the limit values of the limit electromagnetic values determined by ICNIRP.

Authors

Institutions

Publication Details

Journal
Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi
Published
2024-12-30
DOI
https://doi.org/10.66248/cumfad.1556233
Primary Topic
Geophysics and Sensor Technology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Electromagnetic Field Intensity Map of Sivas Cumhuriyet University Campus at Different Frequencies

Tarık Türk, Ayşe Demirkazık, Anıl Can Birdal, Vekil SARI et al.
Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi Dergisi
Geophysics and Sensor Technology
article

The Electromagnetic Field Intensity Map of Sivas Cumhuriyet University Campus at Different Frequencies

Tarık Türk, Ayşe Demirkazık, Anıl Can Birdal, Vekil SARI, Yavuz TÜRKAY, Furkan Yıldırım, Gülistan Onocak
article en

Abstract

The speedy progress of the global system for mobile communication services and the ensuing increased electromagnetic field (EMF) exposure to the human body have generated debate on the potential hazard with attentiveness to human health. The aim of this study is to provide a homogeneous distribution of electromagnetic field sources on our university campus and determine possible risk zones via the electromagnetic intensity maps drawn using the data to be obtained from the measurement results. It was determined how much electromagnetic intensity of the campus was under 4 different high frequencies (900, 1800, 2400, and 2600 MHz), which were determined using the geographic information system. Electromagnetic field measurements were performed at points where the topographic structure of the land allowed, at intervals of about 50 meters in the parts with building density inside the campus, and at intervals ranging between 100 and 120 meters in the open areas where there were no buildings, and geographical location information about the points where these measurements were made was specified with an accuracy of cm level. As a result, our measurement values are also below the limit values of the limit electromagnetic values determined by ICNIRP.

Sivas Cumhuriyet Üniversitesi Mühendislik Fakültesi DergisiVol. 2(2)
Sivas Cumhuriyet Üniversitesi (TR)
Sivas Cumhuriyet Üniversitesi
Climate action
Openalex Percentile: Top 67%
Geophysics and Sensor Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.