کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4428943 | 1619808 | 2013 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Geospatial modelling of electromagnetic fields from mobile phone base stations Geospatial modelling of electromagnetic fields from mobile phone base stations](/preview/png/4428943.png)
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.
► We modelled electric field exposure from mobile phone base stations in a complex urban environment.
► Modelled values were compared with a large data set of repeated measurements in 5 different areas.
► Our mobile monitoring approach captured the high spatial variability in electric field strengths.
► The Spearman rank correlations between modelled and measured values were 0.86 for GSM900 and 0.85 for UMTS.
Journal: Science of The Total Environment - Volumes 445–446, 15 February 2013, Pages 202–209