Exposure Modelling of Extremely Low-Frequency Magnetic Fields from Overhead Power Lines and Its Validation by Measurements

International Journal of Environmental Research and Public Health

Alfred Bürgi¹  Stefan Joss²  Benjamin Struchen³  Sanjay Sagar³  Martin Röösli³ 

[1] ARIAS umwelt.forschung.beratung gmbh, Gutenbergstrasse 40B, 3011 Bern, Switzerland;Federal Office for the Environment (FOEN), 3003 Bern, Switzerland;Swiss Tropical and Public Health Institute, Department of Epidemiology and Public Health, Socinstrasse 57, 4051 Basel, Switzerland;

关键词: high-voltage power lines;    magnetic fields;    extremely low frequency;    exposure model;    measurement;   

DOI  :  10.3390/ijerph14090949

来源: DOAJ

【 摘 要 】

A three-dimensional model for calculating long term exposure to extremely low-frequency magnetic fields from high-voltage overhead power lines is presented, as well as its validation by measurements. For the validation, the model was applied to two different high-voltage overhead power lines in Iffwil and Wiler (Switzerland). In order to capture the daily and seasonal variations, each measurement was taken for 48 h and the measurements were carried out six times at each site, at intervals of approximately two months, between January and December 2015. During each measurement, a lateral transect of the magnetic flux density was determined in the middle of a span from nine measurement points in the range of ±80 m. The technical data of both the lines as well as the load flow data during the measurement periods were provided by the grid operators. These data were used to calculate 48 h averages of the absolute value of the magnetic flux density and compared with modelled values. The highest 48 h average was 1.66 µT (centre of the line in Iffwil); the lowest 48 h average was 22 nT (80 m distance from the centre line in Iffwil). On average, the magnetic flux density was overestimated by 2% (standard deviation: 9%) in Iffwil and underestimated by 1% (8%) in Wiler. Sensitivity analyses showed that the uncertainty is mainly driven by errors in the coordinates and height data. In particular, for predictions near the centre of the line, an accurate digital terrain model is critical.

【 授权许可】

Unknown