Literature DB >> 21684576

Extremely low frequency magnetic field measurements in buildings with transformer stations in Switzerland.

Martin Röösli1, Daniela Jenni, Leeka Kheifets, Gabor Mezei.   

Abstract

The aim of this study was to evaluate an exposure assessment method that classifies apartments in three exposure categories of extremely low frequency magnetic fields (ELF-MF) based on the location of the apartment relative to the transformer room. We completed measurements in 39 apartments in 18 buildings. In each room of the apartments ELF-MF was concurrently measured with 5 to 6 EMDEX II meters for 10 min. Measured arithmetic mean ELF-MF was 0.59 μT in 8 apartments that were fully adjacent to a transformer room, either directly above the transformer or touching the transformer room wall-to-wall. In apartments that only partly touched the transformer room at corners or edges, average ELF-MF level was 0.14 μT. Average exposure in the remaining apartments was 0.10 μT. Kappa coefficient for exposure classification was 0.64 (95%-CI: 0.45-0.82) if only fully adjacent apartments were considered as highly exposed (>0.4 μT). We found a distinct ELF-MF exposure gradient in buildings with transformer. Exposure classification based on the location of the apartment relative to the transformer room appears feasible. Such an approach considerably reduces effort for exposure assessment and may be used to eliminate selection bias in future epidemiologic studies.
Copyright © 2011 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 21684576     DOI: 10.1016/j.scitotenv.2011.05.041

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  8 in total

1.  Analysis of personal and bedroom exposure to ELF-MFs in children in Italy and Switzerland.

Authors:  Benjamin Struchen; Ilaria Liorni; Marta Parazzini; Stephanie Gängler; Paolo Ravazzani; Martin Röösli
Journal:  J Expo Sci Environ Epidemiol       Date:  2015-12-16       Impact factor: 5.563

2.  Indoor transformer stations and ELF magnetic field exposure: use of transformer structural characteristics to improve exposure assessment.

Authors:  Enembe Oku Okokon; Päivi Roivainen; Leeka Kheifets; Gabor Mezei; Jukka Juutilainen
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-09-11       Impact factor: 5.563

Review 3.  Review of Studies Concerning Electromagnetic Field (EMF) Exposure Assessment in Europe: Low Frequency Fields (50 Hz-100 kHz).

Authors:  Peter Gajšek; Paolo Ravazzani; James Grellier; Theodoros Samaras; József Bakos; György Thuróczy
Journal:  Int J Environ Res Public Health       Date:  2016-09-01       Impact factor: 3.390

4.  Exposure Modelling of Extremely Low-Frequency Magnetic Fields from Overhead Power Lines and Its Validation by Measurements.

Authors:  Alfred Bürgi; Sanjay Sagar; Benjamin Struchen; Stefan Joss; Martin Röösli
Journal:  Int J Environ Res Public Health       Date:  2017-08-23       Impact factor: 3.390

Review 5.  Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.

Authors:  Massimo E Maffei
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

Review 6.  EMF monitoring-concepts, activities, gaps and options.

Authors:  Gregor Dürrenberger; Jürg Fröhlich; Martin Röösli; Mats-Olof Mattsson
Journal:  Int J Environ Res Public Health       Date:  2014-09-11       Impact factor: 3.390

7.  Characterization of indoor extremely low frequency and low frequency electromagnetic fields in the INMA-Granada cohort.

Authors:  Irene Calvente; Cristina Dávila-Arias; Olga Ocón-Hernández; Rocío Pérez-Lobato; Rosa Ramos; Francisco Artacho-Cordón; Nicolás Olea; María Isabel Núñez; Mariana F Fernández
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

8.  Children's Personal Exposure Measurements to Extremely Low Frequency Magnetic Fields in Italy.

Authors:  Ilaria Liorni; Marta Parazzini; Benjamin Struchen; Serena Fiocchi; Martin Röösli; Paolo Ravazzani
Journal:  Int J Environ Res Public Health       Date:  2016-05-31       Impact factor: 3.390

  8 in total

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