Monitoring the Time-Variability of Electromagnetic Exposure due to Mobile Radio Communication Emissions using Narrow-Bandwidths Data Loggers

Analyzing measurements performed by equipment, differing in sensitivity and sample recording rates, belongs to key problems in long duration monitoring of electromagnetic exposure. Parameters of descriptive statistics, Weibull distribution and Poincaré maps, were applied to the relevant databases of electric field strength values recorded simultaneously in the same microenvironment (in fast train cars, with dominating exposure from travelers’ terminals for mobile communication, i.e. GSM 900 and LTE 1800 up link emissions) by three types of data loggers operating at various sample recording rates. Analyzed case of exposure to uplink emissions significantly differs from down link cases in the majority of environmental studies. The combination of used analytical tools provided comprehensive parameterizing and comparing the results from various data loggers, which were found to be insignificantly different (over particular range of percentiles) when measurements were performed in the same microenvironment. It confirmed reliability of used equipment for comparative monitoring electromagnetic exposure (despite differences in sensitivity and recording rate). The study's methodology and findings provide a solid foundation for on-going research and monitoring efforts into better understanding of electromagnetic exposure in specific microenvironments and required monitoring strategies.