Literature DB >> 17410112

Exposure modeling of high-frequency electromagnetic fields.

Alfred Bürgi1, Gaston Theis, Andreas Siegenthaler, Martin Röösli.   

Abstract

We developed a geospatial model that calculates ambient high-frequency electromagnetic field (HF-EMF) strengths of stationary transmission installations such as mobile phone base stations and broadcast transmitters with high spatial resolution in the order of 1 m. The model considers the location and transmission patterns of the transmitters, the three-dimensional topography, and shielding effects by buildings. The aim of the present study was to assess the suitability of the model for exposure monitoring and for epidemiological research. We modeled time-averaged HF-EMF strengths for an urban area in the city of Basel as well as for a rural area (Bubendorf). To compare modeling with measurements, we selected 20 outdoor measurement sites in Basel and 18 sites in Bubendorf. We calculated Pearson's correlation coefficients between modeling and measurements. Chance-corrected agreement was evaluated by weighted Cohen's kappa statistics for three exposure categories. Correlation between measurements and modeling of the total HF-EMF strength was 0.67 (95% confidence interval (CI): 0.33-0.86) in the city of Basel and 0.77 (95% CI: 0.46-0.91) in the rural area. In both regions, kappa coefficients between measurements and modeling were 0.63 and 0.77 for the total HF-EMF strengths and for all mobile phone frequency bands. First evaluation of our geospatial model yielded substantial agreement between modeling and measurements. However, before the model can be applied for future epidemiologic research, additional validation studies focusing on indoor values are needed to improve model validity.

Mesh:

Year:  2007        PMID: 17410112     DOI: 10.1038/sj.jes.7500575

Source DB:  PubMed          Journal:  J Expo Sci Environ Epidemiol        ISSN: 1559-0631            Impact factor:   5.563


  8 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

Review 2.  Radiofrequency electromagnetic field exposure in everyday microenvironments in Europe: A systematic literature review.

Authors:  Sanjay Sagar; Stefan Dongus; Anna Schoeni; Katharina Roser; Marloes Eeftens; Benjamin Struchen; Milena Foerster; Noëmi Meier; Seid Adem; Martin Röösli
Journal:  J Expo Sci Environ Epidemiol       Date:  2017-08-02       Impact factor: 5.563

3.  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

4.  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

5.  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

6.  Personal Exposure Assessment to Wi-Fi Radiofrequency Electromagnetic Fields in Mexican Microenvironments.

Authors:  Raquel Ramirez-Vazquez; Jesus Gonzalez-Rubio; Isabel Escobar; Carmen Del Pilar Suarez Rodriguez; Enrique Arribas
Journal:  Int J Environ Res Public Health       Date:  2021-02-14       Impact factor: 3.390

7.  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 8.  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

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.