Exposure modeling of high-frequency electromagnetic fields

被引:52
作者
Buergi, Alfred [1 ]
Theis, Gaston [2 ]
Siegenthaler, Andreas [3 ]
Roeoesli, Martin [4 ]
机构
[1] ARIAS Umwelt, Forchung Beratung, CH-3011 Bern, Switzerland
[2] Air Qual Agcy Basel, CH-4410 Liestal, Switzerland
[3] FOEN, Fed Off Environm, CH-3003 Bern, Switzerland
[4] Univ Bern, Dept Social & Prevent Med, CH-3012 Bern, Switzerland
关键词
non-ionizing radiation; exposure assessment; electromagnetic fields; model; mobile phone base station; broadcast transmitter;
D O I
10.1038/sj.jes.7500575
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 1m. 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, k 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.
引用
收藏
页码:183 / 191
页数:9
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