**6. Conclusions**

This paper presents a new hybrid method to estimate and map the magnetic flux density produced by overhead power lines in a large region beneath the OPL and for a long period of time using a minimized number of spot measurements and a long-term survey of B. The method is based on the correlation of data from a transversal profile and those from a longitudinal profile of B, obtained by successive measurements made in a short time interval, with the data from the long-term survey, both sets of data being obtained with instruments developed by the authors.

In order to validate the results of the estimations, simulations are carried out based on the analytical and numerical methods for magnetic field determination. The relative difference between the estimation and simulation results is under 5.5%.

All the measured, estimated and calculated values in the analyzed case are below the threshold imposed by international regulations for human exposure to magnetic fields. It is to be mentioned, however, that there are reports suggesting that long time exposure of children to magnetic fields in the ELF domain must be limited to much lower values than those recommended by international regulating organizations, this being a subject of ongoing research.

Thus, the need for estimating and mapping the magnetic field produced by OPL (an important source of magnetic fields) and characterizing the human field exposure to complex fields is a topic of major interest that relates to public health concerns.

**Author Contributions:** Conceptualization, V.D.; methodology, V.D., C.P. and I.P.; software, C.P.; validation, I.P., C.P. and V.D.; formal analysis, I.P. and C.P.; investigation, I.P.; resources, I.P. and E.L.; writing—original draft preparation, V.D. and C.P.; writing—review and editing, C.P.; visualization, C.P. and I.P.; supervision, V.D. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Data Availability Statement:** Not applicable.

**Acknowledgments:** This work was achieved through the Advanced Research postdoctoral program within IOSUD-TUIASI: "Performance and Excellence in postdoctoral Research—2022". The first author would like to thank for the support obtained through the project "Network of excellence in applied research and innovation for doctoral and postdoctoral programs"/InoHubDoc, a project co-funded by the European Social Fund.

**Conflicts of Interest:** The authors declare no conflict of interest.

## **Nomenclature**

