Аннотация
In Slovenia, precautionary legislation regarding electromagnetic fields (EMF) in the natural and living
environment was adopted in 1996. To assess the environmental siting acceptability for new and
reconstructed electric power facilities it must be checked that the compulsory EMF limit values are not
exceeded. The compulsory EMF limit values are usually converted into distances obtained by
calculation modelling, the precision of which depends on its complexity and data availability.
Due to the rapid development of information technology, it is possible to obtain more accurate spatial
information in a digital format that can serve as input data for the calculation of E and B. This enables
the improvement of the approach for calculating and visualising of EMF, since the calculation aims to
achieve more accurate predictive assessment of E and B. Good visualisation of the field on appropriate
spatial data layers is also important for the presentation of results.
The following paper presents the calculation assessment and graphical presentation of electric and
magnetic field for overhead electric power lines with the integration of detailed spatial data by using
commercially available software. It is not very reasonable to carry out such a detailed analysis for the
complete line. A detailed analysis is implemented only on micro locations. These micro location
analyses are made for plots and buildings with higher non-ionising radiation protection level in the
approximate corridor. The approximate corridor's width is determined on the basis of general
calculations of EMF for the "worst case" scenario and it defines the area of potential excesses of the
EMF limit values. The completion of the general calculations of EMF for "worst case" scenarios with
calculations of EMF on micro locations, including all available spatial data, reduces the area of the
potential excesses to a smaller area which is closer to the area of actual excesses.
The purpose of involving more detailed spatial data is achieving greater calculation precision, faster
automation of processes and lower possibility of errors generation during data entry and data
processing, as well as a more plastic visualisation of fields on micro locations. The results of such a
detailed visualisation can also be used for public presentations.
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