Design of an integrated platform for mapping residential exposure to Rf-Emf sources
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 stu...
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creator | Regrain, Corentin Caudeville, Julien de Seze, René Guedda, Mohammed Chobineh, Amirreza de Doncker, Philippe Petrillo, Luca Chiaramello, Emma Parazzini, Marta Joseph, Wout Aerts, Sam Huss, Anke Wiart, Joe |
description | 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 x 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. |
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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 x 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. 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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 x 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.</description><subject>assessment</subject><subject>BASE STATION EXPOSURE</subject><subject>BUILDINGS</subject><subject>CHILDREN</subject><subject>data fusion</subject><subject>ELECTROMAGNETIC-FIELD EXPOSURE</subject><subject>ENVIRONMENTS</subject><subject>EXPOSURE</subject><subject>Monte Carlo approach</subject><subject>POPULATION</subject><subject>radiofrequency electromagnetic fields</subject><subject>spatiotemporal exposure</subject><subject>SURROGATE</subject><subject>Technology and Engineering</subject><subject>YOUNG-PEOPLE</subject><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ADGLB</sourceid><recordid>eNqdi0sOgjAURTvQRPzs4W2AhF8KjhXjWJ03D3gtNdCSthiXLyauwMm5g3PPikUp50lc8CTdsK33zyTJq4IfI3Y_k9fKgJWABrQJpBwG6mAaMEjrRlgAI06TNgrccu7IBI0D0HuyfnYEwcJNxvUowdvZteT3bC1x8HT47Y5ll_pxusaqX1ox6MZRi0FY1AJd2-sXiVl9VUOi4mWZ8Sz_K_oAiBNMeA</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Regrain, Corentin</creator><creator>Caudeville, Julien</creator><creator>de Seze, René</creator><creator>Guedda, Mohammed</creator><creator>Chobineh, Amirreza</creator><creator>de Doncker, Philippe</creator><creator>Petrillo, Luca</creator><creator>Chiaramello, Emma</creator><creator>Parazzini, Marta</creator><creator>Joseph, Wout</creator><creator>Aerts, Sam</creator><creator>Huss, Anke</creator><creator>Wiart, Joe</creator><scope>ADGLB</scope></search><sort><creationdate>2020</creationdate><title>Design of an integrated platform for mapping residential exposure to Rf-Emf sources</title><author>Regrain, Corentin ; Caudeville, Julien ; de Seze, René ; Guedda, Mohammed ; Chobineh, Amirreza ; de Doncker, Philippe ; Petrillo, Luca ; Chiaramello, Emma ; Parazzini, Marta ; Joseph, Wout ; Aerts, Sam ; Huss, Anke ; Wiart, Joe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ghent_librecat_oai_archive_ugent_be_86772623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>assessment</topic><topic>BASE STATION EXPOSURE</topic><topic>BUILDINGS</topic><topic>CHILDREN</topic><topic>data fusion</topic><topic>ELECTROMAGNETIC-FIELD EXPOSURE</topic><topic>ENVIRONMENTS</topic><topic>EXPOSURE</topic><topic>Monte Carlo approach</topic><topic>POPULATION</topic><topic>radiofrequency electromagnetic fields</topic><topic>spatiotemporal exposure</topic><topic>SURROGATE</topic><topic>Technology and Engineering</topic><topic>YOUNG-PEOPLE</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Regrain, Corentin</creatorcontrib><creatorcontrib>Caudeville, Julien</creatorcontrib><creatorcontrib>de Seze, René</creatorcontrib><creatorcontrib>Guedda, Mohammed</creatorcontrib><creatorcontrib>Chobineh, Amirreza</creatorcontrib><creatorcontrib>de Doncker, Philippe</creatorcontrib><creatorcontrib>Petrillo, Luca</creatorcontrib><creatorcontrib>Chiaramello, Emma</creatorcontrib><creatorcontrib>Parazzini, Marta</creatorcontrib><creatorcontrib>Joseph, Wout</creatorcontrib><creatorcontrib>Aerts, Sam</creatorcontrib><creatorcontrib>Huss, Anke</creatorcontrib><creatorcontrib>Wiart, Joe</creatorcontrib><collection>Ghent University Academic Bibliography</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Regrain, Corentin</au><au>Caudeville, Julien</au><au>de Seze, René</au><au>Guedda, Mohammed</au><au>Chobineh, Amirreza</au><au>de Doncker, Philippe</au><au>Petrillo, Luca</au><au>Chiaramello, Emma</au><au>Parazzini, Marta</au><au>Joseph, Wout</au><au>Aerts, Sam</au><au>Huss, Anke</au><au>Wiart, Joe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of an integrated platform for mapping residential exposure to Rf-Emf sources</atitle><date>2020</date><risdate>2020</risdate><issn>1660-4601</issn><abstract>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 x 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.</abstract><oa>free_for_read</oa></addata></record> |
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source | MDPI - Multidisciplinary Digital Publishing Institute; Ghent University Academic Bibliography; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; PubMed Central Open Access |
subjects | assessment BASE STATION EXPOSURE BUILDINGS CHILDREN data fusion ELECTROMAGNETIC-FIELD EXPOSURE ENVIRONMENTS EXPOSURE Monte Carlo approach POPULATION radiofrequency electromagnetic fields spatiotemporal exposure SURROGATE Technology and Engineering YOUNG-PEOPLE |
title | Design of an integrated platform for mapping residential exposure to Rf-Emf sources |
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