Literature DB >> 27364986

Prediction of RF-EMF exposure levels in large outdoor areas through car-mounted measurements on the enveloping roads.

Sam Aerts1, Wout Joseph2, Myron Maslanyj3, Darren Addison3, Terry Mee3, Loek Colussi4, Jos Kamer4, John Bolte5.   

Abstract

Knowledge of spatial and temporal trends in the environmental exposure to radiofrequency electromagnetic fields (RF-EMF) is a key prerequisite for RF-EMF risk assessment studies attempting to establish a link between RF-EMF and potential effects on human health as well as on fauna and flora. In this paper, we determined the validity of RF exposure modelling based on inner-area kriging interpolation of measurements on the surrounding streets. The results vary depending on area size and shape and structural factors; a Spearman coefficient of 0.8 and a relative error of less than 3.5dB are achieved on a data set featuring a closed measurement ring around a decently sized area (1km(2), with an average minimum distance of the encircled area to the ring of less than 100m), containing mainly low, detached buildings. In larger areas, additional inner-area sampling is advised, lowering the average minimum distance between sampled and interpolated locations to 100m, to achieve the same level of accuracy.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Environmental exposure; Epidemiology; Kriging; Mobile measurements; RF-EMF; Radiofrequency electromagnetic fields

Mesh:

Year:  2016        PMID: 27364986     DOI: 10.1016/j.envint.2016.06.006

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  1 in total

1.  Lessons Learned from a Distributed RF-EMF Sensor Network.

Authors:  Sam Aerts; Günter Vermeeren; Matthias Van den Bossche; Reza Aminzadeh; Leen Verloock; Arno Thielens; Philip Leroux; Johan Bergs; Bart Braem; Astrid Philippron; Luc Martens; Wout Joseph
Journal:  Sensors (Basel)       Date:  2022-02-22       Impact factor: 3.576

  1 in total

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