Comparison Between Broadband and Personal Exposimeter Measurements for EMF Exposure Map Development Using Evolutionary Programming

Authors: Nájera A, Sánchez-Montero R, González-Rubio J, Guillén-Pina J, Chocano-del-Cerro R, López-Espí P-L

Year: 2025

Category: Environmental Health Physics

Journal: Applied Sciences

DOI: 10.3390/app15137471

URL: https://www.mdpi.com/2076-3417/15/13/7471

Abstract

Overview

This study provides a detailed comparison of radiofrequency electromagnetic field (RF-EMF) exposure level maps using two measurement methodologies: a broadband meter (NARDA EMR-300, 100 kHz–3 GHz) and a Personal Exposimeter (Satimo EME Spy 140, 88 MHz–5.8 GHz). The primary aim is to determine necessary corrections to personal exposimeter measurements to achieve equivalence with broadband meter exposure maps.

Findings

  • Analyzed datasets from both methods, exploring single and double correction factors, especially in relation to line of sight (LOS) to base stations.
  • Reduction of error between devices was a focus for improving the equivalence of measurements.
  • A genetic algorithm further optimized the proportionality factors depending on LOS versus non-line of sight (NLOS) scenarios, and spatial exposure maps were generated using kriging interpolation.

Conclusions

  • Spot measurements with either device can serve as practical proxies for assessing personal RF-EMF exposure.
  • Application of LOS/NLOS-specific correction factors considerably improves PEM measurement accuracy, addressing underestimation in LOS situations due to body shielding effects.
  • Genetic algorithms add precision and enable more reliable urban RF-EMF exposure mapping, making large-scale studies using PEMs both feasible and cost-effective.
  • Further validation is necessary in different environments to enhance these correction models, with suggestions for future refinements involving urban infrastructure and signal interference factors.

Conclusion: This methodology represents a significant advancement for EMF exposure assessment, supporting scalable and flexible generation of consistent EMF exposure maps crucial for public safety and ongoing EMF risk evaluation.

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