Personal Exposure to Radio Frequency Electromagnetic Fields among Australian Adults

被引:20
作者
Zeleke, Berihun M. [1 ,2 ]
Brzozek, Christopher [1 ,2 ]
Bhatt, Chhavi Raj [2 ,3 ,4 ]
Abramson, Michael J. [1 ,2 ]
Croft, Rodney J. [5 ]
Freudenstein, Frederik [5 ]
Wiedemann, Peter [5 ]
Benke, Geza [1 ,2 ]
机构
[1] Monash Univ, Ctr Populat Hlth Res Electromagnet Energy PRESEE, Sch Publ Hlth & Prevent Med, Melbourne, Vic 3004, Australia
[2] Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, 553 St Kilda Rd, Melbourne, Vic 3004, Australia
[3] Monash Univ, Endocrine Surg Unit, Alfred Hosp, 55 Commercial Rd, Melbourne, Vic 3004, Australia
[4] Dandenong Hosp, Monash Emergency Serv, Monash Hlth, 135 David St, Melbourne, Vic 3175, Australia
[5] Univ Wollongong, Australian Ctr Electromagnet Bioeffects Res, Illawarra Hlth & Med Res Inst, Sch Psychol, Northfields Ave, Wollongong, NSW 2522, Australia
基金
英国医学研究理事会;
关键词
radiofrequency electromagnetic fields; personal exposure measurement; mobile phone base stations; downlink; uplink; PHONE BASE STATIONS; RF-EMF EXPOSURE; RADIOFREQUENCY; VARIABILITY; ENVIRONMENTS; INSTRUMENTS;
D O I
10.3390/ijerph15102234
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The measurement of personal exposure to radiofrequency electromagnetic fields (RF-EMFs) is important for epidemiological studies. RF-EMF exposure can be measured using personal exposimeters that register RF-EMFs over a wide range of frequency bands. This study aimed to measure and describe personal RF-EMF exposure levels from a wide range of frequency bands. Measurements were recorded from 63 participants over an average of 27.4 (+/- 4.5) hours. RF-EMF exposure levels were computed for each frequency band, as well as from downlink (RF from mobile phone base station), uplink (RF from mobile phone handsets), broadcast, and Wi-Fi. Participants had a mean (+/- SD) age of 36.9 +/- 12.5 years; 66.7% were women; and almost all (98.2%) from urban areas. A Wi-Fi router at home was reported by 61 participants (96.8%), with 38 (61.2%) having a Wi-Fi enabled smart TV. Overall, 26 (41.3%) participants had noticed the existence of a mobile phone base station in their neighborhood. On average, participants estimated the distance between the base station and their usual residence to be about 500 m. The median personal RF-EMF exposure was 208 mV/m. Downlink contributed 40.4% of the total RF-EMF exposure, followed by broadcast (22.4%), uplink (17.3%), and Wi-Fi (15.9%). RF-EMF exposure levels on weekdays were higher than weekends (p < 0.05). Downlink and broadcast are the main contributors to total RF-EMF personal exposure. Personal RF-EMF exposure levels vary according to day of the week and time of day.
引用
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页数:10
相关论文
共 31 条
[1]   Assessment of long-term spatio-temporal radiofrequency electromagnetic field exposure [J].
Aerts, Sam ;
Wiart, Joe ;
Martens, Luc ;
Joseph, Wout .
ENVIRONMENTAL RESEARCH, 2018, 161 :136-143
[2]   Radiofrequency-electromagnetic field exposures in kindergarten children [J].
Bhatt, Chhavi Raj ;
Redmayne, Mary ;
Billah, Baki ;
Abramson, Michael J. ;
Benke, Geza .
JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 2017, 27 (05) :497-504
[3]   Assessment of personal exposure from radiofrequency-electromagnetic fields in Australia and Belgium using on-body calibrated exposimeters [J].
Bhatt, Chhavi Raj ;
Thielens, Arno ;
Billah, Baki ;
Redmayne, Mary ;
Abramson, Michael J. ;
Sim, Malcolm R. ;
Vermeulen, Roel ;
Martens, Luc ;
Joseph, Wout ;
Benke, Geza .
ENVIRONMENTAL RESEARCH, 2016, 151 :547-563
[4]   Measuring personal exposure from 900 MHz mobile phone base stations in Australia and Belgium using a novel personal distributed exposimeter [J].
Bhatt, Chhavi Raj ;
Thielens, Arno ;
Redmayne, Mary ;
Abramson, Michael J. ;
Billah, Baki ;
Sim, Malcolm R. ;
Vermeulen, Roel ;
Martens, Luc ;
Joseph, Wout ;
Benke, Geza .
ENVIRONMENT INTERNATIONAL, 2016, 92-93 :388-397
[5]   Instruments to assess and measure personal and environmental radiofrequency-electromagnetic field exposures [J].
Bhatt, Chhavi Raj ;
Redmayne, Mary ;
Abramson, Michael J. ;
Benke, Geza .
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 2016, 39 (01) :29-42
[6]   Lessons learnt on biases and uncertainties in personal exposure measurement surveys of radiofrequency electromagnetic fields with exposimeters [J].
Bolte, John F. B. .
ENVIRONMENT INTERNATIONAL, 2016, 94 :724-735
[7]   Personal radiofrequency electromagnetic field measurements in the Netherlands: Exposure level and variability for everyday activities, times of day and types of area [J].
Bolte, John F. B. ;
Eikelboom, Tessa .
ENVIRONMENT INTERNATIONAL, 2012, 48 :133-142
[8]   A Technical Approach to the Evaluation of Radiofrequency Radiation Emissions from Mobile Telephony Base Stations [J].
Buckus, Raimondas ;
Strukcinskiene, Birute ;
Raistenskis, Juozas ;
Stukas, Rimantas ;
Sidlauskiene, Aurelija ;
Cerkauskiene, Rimante ;
Isopescu, Dorina Nicolina ;
Stabryla, Jan ;
Cretescu, Igor .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2017, 14 (03)
[9]   Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band [J].
de Miguel-Bilbao, Silvia ;
Blas, Juan ;
Ramos, Victoria .
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2018, (135)
[10]   Responses to comments on assessment of polarization dependence of body shadow effect on dosimetry measurements in the 2.4GHz band [J].
de Miguel-Bilbao, Silvia ;
Ramos, Victoria ;
Blas, Juan .
BIOELECTROMAGNETICS, 2017, 38 (08) :650-652