@chkokalis

Using a Geographical Information System for Estimating Distance to Power Lines in a French Epidemiological Study

, , and . (2013)

Abstract

An epidemiological study of childhood leukaemia in relation with various environmental factors is currently being carried out in France. One of the investigated factors is the proximity of children residence to high voltage overhead lines ( 63 to 400 kV). This possible association between power lines and childhood leukaemia is studied following two criteria, namely "distance to power lines", and "calculated residential exposure to ELFMF''. Whereas the first classification is based on a distance evaluation, the second one requires taking into account the characteristics of the lines in order to make a precise assessment of the residential exposures due to the power lines. This exposure assessment is critically dependent on the distance assessment as the MF level can vary significantly within distances of tens of meters. Therefore a particular attention must be drawn on the locating of the residences with regard to the power lines, going up to the particular locating with regards to the towers, in order to take into account the exact height of conductors to the ground. This paper describes RTE's Geographical Information System (GIS) used in this French epidemiological study. The tools and methods are described with a particular attention to the uncertainties resulting from the GIS locating process, also in relation to the particularities of the epidemiological study currently ongoing in France.

Links and resources

Tags

community

  • @chkokalis
  • @ceps
@chkokalis's tags highlighted