Publication:
Long-Term Electromagnetic Field Measurement and Assessment for a Shopping Mall

dc.authorscopusid43261063600
dc.authorscopusid16230640200
dc.contributor.authorKorunur Engiz, B.K.
dc.contributor.authorKurnaz, C.
dc.date.accessioned2020-06-21T13:19:04Z
dc.date.available2020-06-21T13:19:04Z
dc.date.issued2017
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Korunur Engiz] Begüm, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Kurnaz] Çetin, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractAs a result of the dense deployment of wireless devices and base stations, measuring and evaluating the electromagnetic (EM) exposure levels they emit have become important to human health especially if they exceed the limits defined in the standards. Base stations, Wi-Fi equipment and other electronic devices are used heavily, especially in densely crowded places like shopping centers. In this study, electric field strength (E) measurements were conducted at one of the largest shopping malls in Turkey. Broadband E measurements were performed using PMM 8053EM field strength meter for 24 h a day for the duration of one week while frequency selective measurements were carried out with SRM-3006EM field strength meter. It is concluded from the measurements that the mean measured total E in the band between 100 kHz and 3 GHz is 0.59 V/m while the maximum E is 7.88 V/m, which are both below the limit determined by International Commission on Non-Ionizing Radiation Protection. Evolutions show that E can increase by up to 55% during the daytime. Analyses demonstrate that 71.3% of total E is caused by UMTS2100, 16.3% is produced by GSM900, 6.2% by LTE, 3.5% by Wi-Fi, and 2.7% is generated by devices that use the remaining frequency bands. Based on the detailed statistical analysis of long-term E measurement results, it can be concluded that the measured E levels are not in normal distribution and that they are statistically different with respect to days. Furthermore, distribution of E can be best modeled with the non-parametric approach. © The Author 2017. Published by Oxford University Press. All rights reserved.en_US
dc.identifier.doi10.1093/rpd/ncw343
dc.identifier.endpage329en_US
dc.identifier.issn0144-8420
dc.identifier.issn1742-3406
dc.identifier.issue3en_US
dc.identifier.pmid27885087
dc.identifier.scopus2-s2.0-85027178073
dc.identifier.scopusqualityQ3
dc.identifier.startpage321en_US
dc.identifier.urihttps://doi.org/10.1093/rpd/ncw343
dc.identifier.urihttps://hdl.handle.net/20.500.12712/12378
dc.identifier.volume175en_US
dc.identifier.wosWOS:000405898800004
dc.identifier.wosqualityQ4
dc.language.isoenen_US
dc.publisherOxford University Press jnl.info@oup.co.uken_US
dc.relation.ispartofRadiation Protection Dosimetryen_US
dc.relation.journalRadiation Protection Dosimetryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleLong-Term Electromagnetic Field Measurement and Assessment for a Shopping Mallen_US
dc.typeArticleen_US
dspace.entity.typePublication

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