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