Literature DB >> 23333516

Geospatial modelling of electromagnetic fields from mobile phone base stations.

J Beekhuizen1, R Vermeulen, H Kromhout, A Bürgi, A Huss.   

Abstract

There is concern that exposure to radio frequency electromagnetic fields (RF-EMF) from mobile phone base stations might lead to adverse health effects. In order to assess potential health risks, reliable exposure assessment is necessary. Geospatial exposure modelling is a promising approach to quantify ambient exposure to RF-EMF for epidemiological studies involving large populations. We modelled RF-EMF for Amsterdam, The Netherlands by using a 3D RF-EMF model (NISMap). We subsequently compared modelled results to RF-EMF measurements in five areas with differing built-up characteristics (e.g., low-rise residential, high-rise commercial). We performed, in each area, repeated continuous measurements along a predefined ~2 km long path. This mobile monitoring approach captures the high spatial variability in electric field strengths. The modelled values were in good agreement with the measurements. We found a Spearman correlation of 0.86 for GSM900 and 0.85 for UMTS between modelled and measured values. The average measured GSM900 field strength was 0.21 V/m, and UMTS 0.09 V/m. The model underestimated the GSM900 field strengths by 0.07 V/m, and slightly overestimated the UMTS field strengths by 0.01 V/m. NISMap provides a reliable way of assessing environmental RF-EMF exposure for epidemiological studies of RF-EMF and health in urban areas.
Copyright © 2012 Elsevier B.V. All rights reserved.

Mesh:

Year:  2013        PMID: 23333516     DOI: 10.1016/j.scitotenv.2012.12.020

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


  15 in total

1.  What input data are needed to accurately model electromagnetic fields from mobile phone base stations?

Authors:  Johan Beekhuizen; Hans Kromhout; Alfred Bürgi; Anke Huss; Roel Vermeulen
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-01-29       Impact factor: 5.563

2.  Comparison of statistic methods for censored personal exposure to RF-EMF data.

Authors:  Alberto Najera; Raquel Ramirez-Vazquez; Enrique Arribas; Jesus Gonzalez-Rubio
Journal:  Environ Monit Assess       Date:  2020-01-02       Impact factor: 2.513

3.  Development of an RF-EMF Exposure Surrogate for Epidemiologic Research.

Authors:  Katharina Roser; Anna Schoeni; Alfred Bürgi; Martin Röösli
Journal:  Int J Environ Res Public Health       Date:  2015-05-22       Impact factor: 3.390

4.  Characterisation of exposure to non-ionising electromagnetic fields in the Spanish INMA birth cohort: study protocol.

Authors:  Mara Gallastegi; Mònica Guxens; Ana Jiménez-Zabala; Irene Calvente; Marta Fernández; Laura Birks; Benjamin Struchen; Martine Vrijheid; Marisa Estarlich; Mariana F Fernández; Maties Torrent; Ferrán Ballester; Juan J Aurrekoetxea; Jesús Ibarluzea; David Guerra; Julián González; Martin Röösli; Loreto Santa-Marina
Journal:  BMC Public Health       Date:  2016-02-18       Impact factor: 3.295

5.  Mobility assessment of a rural population in the Netherlands using GPS measurements.

Authors:  Gijs Klous; Lidwien A M Smit; Floor Borlée; Roel A Coutinho; Mirjam E E Kretzschmar; Dick J J Heederik; Anke Huss
Journal:  Int J Health Geogr       Date:  2017-08-09       Impact factor: 3.918

6.  Cohort profile: LIFEWORK, a prospective cohort study on occupational and environmental risk factors and health in the Netherlands.

Authors:  Marije Reedijk; Virissa Lenters; Pauline Slottje; Anouk Pijpe; Matti A Rookus; Hans Kromhout; Roel C H Vermeulen; Petra H Peeters; Joke C Korevaar; Bas Bueno-de-Mesquita; W M Monique Verschuren; Robert A Verheij; Inka Pieterson; Flora E van Leeuwen
Journal:  BMJ Open       Date:  2018-02-03       Impact factor: 2.692

7.  Environmental Radiofrequency Electromagnetic Fields Exposure at Home, Mobile and Cordless Phone Use, and Sleep Problems in 7-Year-Old Children.

Authors:  Anke Huss; Manon van Eijsden; Monica Guxens; Johan Beekhuizen; Rob van Strien; Hans Kromhout; Tania Vrijkotte; Roel Vermeulen
Journal:  PLoS One       Date:  2015-10-28       Impact factor: 3.240

8.  Time averaged transmitter power and exposure to electromagnetic fields from mobile phone base stations.

Authors:  Alfred Bürgi; Damiano Scanferla; Hugo Lehmann
Journal:  Int J Environ Res Public Health       Date:  2014-08-07       Impact factor: 3.390

Review 9.  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

Review 10.  Radiofrequency Electromagnetic Radiation and Memory Performance: Sources of Uncertainty in Epidemiological Cohort Studies.

Authors:  Christopher Brzozek; Kurt K Benke; Berihun M Zeleke; Michael J Abramson; Geza Benke
Journal:  Int J Environ Res Public Health       Date:  2018-03-26       Impact factor: 3.390

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