Design of an Integrated Platform for Mapping Residential Exposure to Rf-Emf Sources

Bibliographic Data

ID15510348
AuthorsCorentin Regrain (0000-0003-2910-5714, Centre National de la Recherche Scientifique, corresponding author), Julien Caudeville (0000-0001-8939-9369, Institut national de l'environnement industriel et des risques), René de Sèze (0000-0002-7978-798X, Institut national de l'environnement industriel et des risques), M Guedda (0000-0002-6570-7475, Centre National de la Recherche Scientifique), Amirreza Chobineh (0000-0002-2111-2031, Télécom Paris), Philippe De Doncker (Université Libre de Bruxelles), Luca Petrillo (0000-0001-8992-6253, Université Libre de Bruxelles), Emma Chiaramello (0000-0003-2503-4779, Institute of Electronics, Computer and Telecommunication Engineering), Marta Parazzini (0000-0001-9008-7530, Institute of Electronics, Computer and Telecommunication Engineering), Wout Joseph (0000-0002-8807-0673, Ghent University), Sam Aerts (0000-0002-7444-4312, Ghent University), Anke Huss (0000-0001-9268-1867, Utrecht University), Joe Wiart (0000-0002-8902-5778, Télécom Paris)
Year2020
Volume17
Issue15
Pages5339-5339
Publication date2020-07-24
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17155339
PMID32722208
OpenAlexW3044116447
LanguageEN
Citations received1
References cited59

Nowadays, information and communication technologies (mobile phones, connected objects) strongly occupy our daily life. The increasing use of these technologies and the complexity of network infrastructures raise issues about radiofrequency electromagnetic fields (Rf-Emf) exposure. Most previous studies have assessed individual exposure to Rf-Emf, and the next level is to assess populational exposure. In our study, we designed a statistical tool for Rf-Emf populational exposure assessment and mapping. This tool integrates geographic databases and surrogate models to characterize spatiotemporal exposure from outdoor sources, indoor sources, and mobile phones. A case study was conducted on a 100 × 100 m grid covering the 14th district of Paris to illustrate the functionalities of the tool. Whole-body specific absorption rate (SAR) values are 2.7 times higher than those for the whole brain. The mapping of whole-body and whole-brain SAR values shows a dichotomy between built-up and non-built-up areas, with the former displaying higher values. Maximum SAR values do not exceed 3.5 and 3.9 mW/kg for the whole body and the whole brain, respectively, thus they are significantly below International Commission on Non-Ionizing Radiation Protection (ICNIRP) recommendations. Indoor sources are the main contributor to populational exposure, followed by outdoor sources and mobile phones, which generally represents less than 1% of total exposure

Bioelectromagnetics · Business · Electromagnetic field · Environmental health · European commission · European union · Exposure assessment · Geography · Physics · Radiation exposure · Remote sensing · Specific absorption rate · Telecommunications · Air Quality and Health Impacts · Computer Science · Electromagnetic Fields and Biological Effects · Environmental Science · Medicine · Noise Effects and Management

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