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Exposure assessment of radiofrequency electromagnetic fields (RF-EMFs) in everyday environments : methodological approaches and issue-specific perspectives

机译:日常环境中射频电磁场(RF-EmF)的暴露评估:方法论方法和特定问题的观点

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摘要

Introduction and objectives:udThere was a substantial development and persistent introduction of new telecommunication devices in the past two decades. Mobile communication is nowadays ubiquitous reaching a number of mobile-cellular subscriptions of around 6.8 billion in 2013 – almost as many as the entire population worldwide. This widespread use of mobile telecommunication required an expansion of the network to meet the new technological requirements and end-user demands. In the meantime, a shift could be observed from text messaging and calls towards mobile internet access through mobile devices which will continue to grow strongly. All these developments led to a substantial change of the radiofrequency electromagnetic field (RF-EMF) exposure situation and to concerns about potential adverse health effects in the population. Countries thus started to introduce precautionary exposure limits in order to decrease the exposure of the population. However, there is no study so far scrutinizing what consequences such precautionary limits have on outdoor exposure levels. The Research Agenda of the World Health Organization (WHO) classified EMF research as a high research priority. Measurement devices allowing to quantify personal RF-EMF exposure became available only some years ago. Accordingly, several studies have been conducted using personal measurement devices (exposimeters). However, such measurements had typically been conducted through recruited study participants being allowed to use their own mobile phone during measurements. This can limit data interpretation if one is interested to differentiate between the exposure from the own mobile phone and from the exposure of other people’s mobile phone. Still, little is known about the exposure situation in our everyday life and how RF-EMF exposure changed over time. Exposure assessment has become challenging, due to the high spatial and temporal variability of RF-EMFs, questioning how reproducible personal exposure measurements are.ududObjectives:udIn the framework of this dissertation, methodological and issue-specific questions have been examined. From a methodological point of view, we aimed to investigate the effect of the own mobile phone on personal measurements. As our measurements based on a repetitive data collection procedure at defined time frames and with predetermined measurement sequences, we studied the reproducibility of personal RF-EMF measurements over time using an exposimeter. Furthermore, we aimed to inspect how the mobile station network affects exposure situations in outdoor areas. udIssue-specific research questions focussed on the characterization of RF-EMF exposure levels in typical everyday environments and how exposure changed over time.ududMethods:udMeasurements were conducted during different time periods between 3 weeks and 1 year in several environments and across several European cities, i.e. Basel (Switzerland), Amsterdam (the Netherlands), Ghent and Brussels (Belgium). We used an exposimeter of the type EME Spy 120 for quantifying RF-EMF exposure on different frequency bands ranging from FM (Frequency Modulation, 88 MHz) to WLAN (Wireless Local Area Network, 2.5 GHz), including all telecommunication signals: GSM 900 (Global System for Mobile Communications), GSM 1800 and UMTS (Universal Mobile Telecommunications System) in up- (UL, communication from mobile phone to base station) and downlink (DL, communication from base station to mobile phone) traffic. We included different typical everyday environments in outdoor areas, public transports, and indoor settings. ududResults:udPrimarily, results on methodological questions showed that the own mobile phone in stand-by mode reached exposure levels up to a factor of 100 compared to a mobile phone being turned off. These results were more pronounced during car rides whether during rides in public transports, as the background exposure, especially in trains, was relatively high. Analysis of variance (ANOVA) indicated that despite the high spatial variability which was best explained by the type of area (30%) in urban cities and the type of city (50%), mobile phone base station exposure in outdoor urban areas was highly reproducible. Typical mobile phone base station exposure levels in outdoor urban areas (all types of outdoor urban areas combined) across different European cities ranged between 0.22 V/m in Basel and 0.43 V/m in Amsterdam. Peak exposure levels reached values of up to 0.82 V/m (Amsterdam) for the 95th percentile and the highest percentage of exposure (99th percentile) showed values which were between 0.81 V/m (Basel) and 1.20 V/m (Brussels). udAnalyses relating to issue-specific questions showed consistently during all measurements that highest total average RF-EMF levels occurred in trains with exposure levels between 0.83 V/m (Ghent) and 1.06 V/m (Brussels) and in downtown areas: 0.32 V/m (Ghent) to 0.58 V/m (Brussels). The total RF-EMF exposure increased by 20% in Ghent, by 38% in Brussels and by 57% in Basel during the study period of one year between April 2011 and March 2012 in all outdoor areas in combination.ududDiscussion and Outlook:udCharacterizing RF-EMF exposure with personal exposimeters has shown to be feasible for quantifying exposure levels and to investigate temporal trends. They allow collecting large amounts of data with little effort and enable including a large variety of different environments. In addition, our study demonstrated that measurements were highly reproducible for mobile phone base station exposure in outdoor urban areas which is a strength when planning exposure assessment studies based on repeated measurements. However, when taking measurements it is recommended to turn off the own mobile phone, as our results showed a considerable impact of the own mobile phone on personal measurements. The contribution to total RF-EMF exposure was predominantly influenced by telecommunication technologies, i.e. mobile phones and mobile phone base stations, representing the most important sources of exposure in outdoor areas, public transports and indoor settings. All exposure levels were far below the frequency-dependent reference levels (41–61 V/m) proposed by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) as well as below national imposed precautionary limits implemented in the different countries (on average ten times lower than ICNIRP levels). Furthermore, our study did not find any indications that lowering the regulatory limits result in higher mobile phone base station exposure levels so far; nevertheless, further studies including more cities with different regulatory limits are needed. A monitoring of the exposure to RF-EMFs is important nowadays, especially with the introduction and expansion of new technologies and the increased usage of mobile telecommunication. Monitoring studies should help to clarify how RF-EMF exposure levels change over time and allow identifying areas with critical exposure values. These studies may contribute to a better understanding of potential adverse health effects. Global research efforts are highly needed to translate findings in public policies. In the light udof current uncertainties regarding potential adverse health effects due to long-term low-dose exposure levels, minimizing exposure might be reasonable and requested.
机译:简介和目标: ud在过去的二十年中,新的电信设备得到了实质性的发展和不断的引入。如今,移动通信无​​处不在,2013年移动蜂窝用户数量达到约68亿,几乎与全球总人数一样多。移动电信的这种广泛使用要求网络的扩展以满足新的技术要求和最终用户的需求。同时,可以看到从文本消息传递和呼叫向通过移动设备的移动Internet访问的转变将继续强劲增长。所有这些事态发展导致射频电磁场(RF-EMF)暴露情况发生了重大变化,并引起了人们对健康潜在不利影响的担忧。因此,各国开始引入预防性接触限值,以减少人口的接触。但是,到目前为止,尚无研究仔细研究这种预防性限制对室外暴露水平的影响。世界卫生组织(WHO)的研究议程将EMF研究列为研究重点。允许量化个人RF-EMF暴露的测量设备仅在几年前才可用。因此,已经使用个人测量设备(曝光计)进行了一些研究。但是,此类测量通常是通过允许新招募的研究参与者进行测量来进行的。如果您有兴趣区分自己手机的暴露程度和他人手机的暴露程度,则可能会限制数据解释。但是,对于我们日常生活中的暴露情况以及RF-EMF暴露随时间的变化知之甚少。由于RF-EMF的高度时空变异性,暴露评估变得具有挑战性,质疑可重复的个人暴露测量结果如何。 ud ud目标: ud在本论文的框架内,研究了方法论和针对特定问题的问题。从方法论的角度来看,我们旨在研究自己的手机对个人测量的影响。由于我们的测量基于在定义的时间范围内并以预定的测量序列进行的重复数据收集程序,因此我们使用曝光计研究了随时间推移个人RF-EMF测量的可重复性。此外,我们旨在检查移动站网络如何影响室外区域的暴露情况。 ud针对特定问题的研究问题集中于典型日常环境中RF-EMF暴露水平的表征以及暴露随时间的变化。 ud ud方法: ud在几种环境下,在3周至1年的不同时间段内进行了测量,遍布多个欧洲城市,例如巴塞尔(瑞士),阿姆斯特丹(荷兰),根特和布鲁塞尔(比利时)。我们使用了EME Spy 120型的光度计来量化从FM(频率调制,88 MHz)到WLAN(无线局域网,2.5 GHz)等不同频段的RF-EMF暴露,包括所有电信信号:GSM 900(全球移动通信系统),GSM 1800和UMTS(通用移动电信系统)的上行(UL,从手机到基站的通信)和下行链路(DL,从基站到手机的通信)业务。我们在室外区域,公共交通和室内环境中纳入了不同的典型日常环境。 ud ud结果: ud从根本上讲,方法论问题的结果表明,与处于关机状态的手机相比,处于待机状态的本机手机的暴露水平最高可达100倍。无论是在公共交通工具上,还是在汽车上,这些结果都更加明显,因为背景暴露,尤其是在火车上,背景暴露相对较高。方差分析(ANOVA)表明,尽管空间变异性很高,但最好的解释是城市地区的类型(30%)和城市的类型(50%),室外城市地区的移动电话基站暴露是高度可重现的。欧洲不同城市在室外城市区域(所有类型的室外城市区域总和)中典型的移动电话基站暴露水平在巴塞尔的0.22 V / m和阿姆斯特丹的0.43 V / m之间。第95个百分位数的峰值暴露水平达到0.82 V / m(阿姆斯特丹),最高暴露百分数(第99个百分位数)显示介于0.81 V / m(巴塞尔)和1.20 V / m(布鲁塞尔)之间的值。 ud与特定问题相关的分析在所有测量过程中一致显示,最高平均RF-EMF平均水平发生在暴露水平介于0.83 V / m(根特)和1.06 V / m(布鲁塞尔)的火车以及市区:0.32 V / m(根特)至0.58 V / m(布鲁塞尔)。在2011年4月至2012年3月的一年研究期内,在所有室外区域中,根特的RF-EMF总暴露量增加了20%,布鲁塞尔增加了38%,巴塞尔增加了57%。 ud ud用个人光度计表征RF-EMF暴露已显示出量化暴露水平和研究时间趋势的可行性。它们使您可以轻松收集大量数据,并支持各种不同的环境。此外,我们的研究表明,在室外城市地区,移动电话基站的暴露具有高度可重复性,这在计划基于重复测量的暴露评估研究时具有优势。但是,在进行测量时,建议关闭自己的手机,因为我们的结果表明,自己的手机对个人测量有相当大的影响。对RF-EMF总暴露的贡献主要受电信技术的影响,即移动电话和移动电话基站,代表室外区域,公共交通和室内环境中最重要的暴露源。所有暴露水平均远低于国际非电离辐射防护委员会(ICNIRP)提议的频率相关参考水​​平(41–61 V / m),并且低于不同国家/地区实施的国家施加的预防性限值(平均比ICNIRP水平低十倍)。此外,我们的研究没有发现任何迹象表明降低监管限制会导致迄今为止更高的移动电话基站暴露水平。但是,仍需要进一步研究,包括更多具有不同监管限制的城市。如今,对RF-EMF的暴露进行监视非常重要,尤其是随着新技术的引入和扩展以及移动电信使用的增加。监测研究应有助于阐明RF-EMF暴露水平如何随时间变化,并允许确定具有关键暴露值的区域。这些研究可能有助于更好地了解潜在的不良健康影响。迫切需要全球研究来转化公共政策中的发现。鉴于当前由于长期低剂量暴露水平而对潜在的不利健康影响的不确定性,将暴露量降至最低可能是合理且有要求的。

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    Urbinello Damiano;

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  • 年度 2015
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