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首页> 外文会议>Annual conference of the International Society of Exposure Science >Sequential measurement method to construct RF-EMF exposure maps
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Sequential measurement method to construct RF-EMF exposure maps

机译：顺序测量方法构建RF-EMF暴露图

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The rapid introduction over the last years and increasing use of wireless technologies nowadays led to public health concerns regarding adverse health effects. The general public, however, is not familiar enough with the typical everyday exposure levels, although they are generally well below reference levels based on scientific evidence and issued by the International Commission on Non-Ionizing Radiation Protection (ICNIRP). A practical way to fill this information gap is the use of a heat map, which is easily comprehensible for laymen and experts. Although a heat map can be built using non-measurement based estimations or RF-EMF simulators, these approaches are heavily dependent on accurate data (e.g., base station parameters), which is seldom readily available. Our method, however, is solely measurement-based, but instead of the traditional approach of defining a uniform or random measurement grid beforehand, we introduce an iterative strategy, in which measurement locations are based on the information gained from previous measurements, with the specific aim to rapidly discover and characterize regions of elevated exposure (hotspots). This so-called sequential design has proven its worth in many other research domains. Using fast broadband measurements, we applied our method to the city center of Ghent, Belgium (area 1 km2), and built an accurate, graphical representation of the RF-EMF exposure. Analysis of a set of random validation measurements showed excellent results (r = 0.75; average relative error ＜ 3 dB). The average electric-field strength was 0.49 V/m, and maximum levels of 1.7 to 3.1 V/m were measured in the discovered hotspots. Narrowband measurements further identified GSM900 mobile phone base stations as principal contributor (45 to 100%) to the total RF-EMF exposure. Methodologies such as ours, using measururement-based iterative algorithms, are needed to anticipate critical areas and to quickly assess the exposure in a certain area.
机译：在过去的几年中，快速的引入和当今无线技术的日益使用引起了公众对不良健康影响的关注。但是，公众对典型的日常暴露水平还不够熟悉，尽管它们通常远低于基于科学证据并由国际非电离辐射防护委员会（ICNIRP）发布的参考水平。填补这一信息空白的一种实用方法是使用热图，对于外行和专家而言，这很容易理解。尽管可以使用基于非测量的估计值或RF-EMF仿真器来构建热图，但是这些方法在很大程度上取决于精确数据（例如，基站参数），而这种数据很少能获得。但是，我们的方法仅基于测量，而不是传统的预先定义均匀或随机测量网格的方法，而是引入了一种迭代策略，其中测量位置基于从先前测量获得的信息，具体旨在快速发现和表征暴露度高的区域（热点）。这种所谓的顺序设计已经在许多其他研究领域证明了其价值。使用快速宽带测量，我们将我们的方法应用于比利时根特市中心（面积1 km2），并建立了精确的RF-EMF暴露图形表示。对一组随机验证测量的分析显示出极好的结果（r = 0.75;平均相对误差＜3 dB）。平均电场强度为0.49 V / m，在发现的热点中测得的最大水平为1.7至3.1 V / m。窄带测量进一步确定了GSM900移动电话基站是RF-EMF总暴露的主要贡献者（45％至100％）。需要使用基于测量的迭代算法的我们这样的方法来预测关键区域并快速评估特定区域中的暴露程度。

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