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移动电话基站电磁场的地理空间建模。

Geospatial modelling of electromagnetic fields from mobile phone base stations.

机构信息

Institute for Risk Assessment Sciences, Division Environmental Epidemiology, Utrecht University, Jenalaan 18D, 3584 CK, Utrecht, The Netherlands.

出版信息

Sci Total Environ. 2013 Feb 15;445-446:202-9. doi: 10.1016/j.scitotenv.2012.12.020. Epub 2013 Jan 16.

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

摘要

人们担心来自移动电话基站的射频电磁场(RF-EMF)暴露可能会导致不良健康影响。为了评估潜在的健康风险,需要进行可靠的暴露评估。地理空间暴露建模是一种很有前途的方法,可以量化流行病学研究中涉及大量人群的环境 RF-EMF 暴露。我们使用 3D RF-EMF 模型(NISMap)对荷兰阿姆斯特丹的 RF-EMF 进行了建模。随后,我们将建模结果与五个具有不同建筑特征(例如低层住宅、高层商业)的区域的 RF-EMF 测量结果进行了比较。在每个区域,我们沿着预先定义的约 2 公里长的路径进行了重复的连续测量。这种移动监测方法可以捕捉到电场强度的高度空间变异性。建模值与测量值吻合良好。我们发现,GSM900 和 UMTS 之间的模型值和测量值之间的 Spearman 相关系数分别为 0.86 和 0.85。测量得到的 GSM900 场强的平均值为 0.21 V/m,UMTS 为 0.09 V/m。模型低估了 GSM900 场强 0.07 V/m,略微高估了 UMTS 场强 0.01 V/m。NISMap 为评估城市地区射频电磁场与健康的流行病学研究中的环境 RF-EMF 暴露提供了一种可靠的方法。

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