Geospatial modelling of electromagnetic fields from mobile phone base stations

被引:62
作者
Beekhuizen, J. [1 ]
Vermeulen, R. [1 ]
Kromhout, H. [1 ]
Buergi, A. [2 ]
Huss, A. [1 ]
机构
[1] Univ Utrecht, Div Environm Epidemiol, Inst Risk Assessment Sci, NL-3584 CK Utrecht, Netherlands
[2] ARIAS Umwelt Forsch Beratung, CH-3011 Bern, Switzerland
关键词
Electromagnetic fields; Mobile phone; Base stations; Exposure assessment; Geospatial modelling; Mobile monitoring; EXPOSURE;
D O I
10.1016/j.scitotenv.2012.12.020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:202 / 209
页数:8
相关论文
共 27 条
  • [1] Population exposure to electromagnetic fields generated by radio base stations: Evaluation of the urban background by using provisional model and instrumental measurements
    Anglesio, L
    Benedetto, A
    Bonino, A
    Colla, D
    Martire, F
    Fusette, SS
    d'Amore, G
    [J]. RADIATION PROTECTION DOSIMETRY, 2001, 97 (04) : 355 - 358
  • [2] [Anonymous], HLTH EFF RAD EL FIEL
  • [3] [Anonymous], 2003, P15461 ITUR
  • [4] Beekhuizen J, J EXPO SCI IN PRESS
  • [5] Berg JE, 1999, COST TELECOMMUNICATI, P167
  • [6] STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
    BLAND, JM
    ALTMAN, DG
    [J]. LANCET, 1986, 1 (8476) : 307 - 310
  • [7] Determination of the general public exposure around GSM and UMTS base stations
    Bornkessel, Christian
    Schubert, Markus
    Wuschek, Matthias
    Schmidt, Peter
    [J]. RADIATION PROTECTION DOSIMETRY, 2007, 124 (01) : 40 - 47
  • [8] Applicability of an exposure model for the determination of emissions from mobile phone base stations
    Breckenkamp, J.
    Neitzke, H. P.
    Bornkessel, C.
    Berg-Beckhoff, G.
    [J]. RADIATION PROTECTION DOSIMETRY, 2008, 131 (04) : 474 - 481
  • [9] A geographical model of radio-frequency power density around mobile phone masts
    Briggs, David
    Beale, Linda
    Bennett, James
    Toledano, Mireille B.
    de Hoogh, Kees
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2012, 426 : 233 - 243
  • [10] Exposure modeling of high-frequency electromagnetic fields
    Buergi, Alfred
    Theis, Gaston
    Siegenthaler, Andreas
    Roeoesli, Martin
    [J]. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 2008, 18 (02) : 183 - 191