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Luna Azul

versión impresa ISSN 1909-2474

Resumen

GALLEGO SERNA, Lina María; TORRES OSORIO, Javier Ignacio  y  CASTANEDA SALAZAR, Jorge Abel. METHODS FOR THE DIAGNOSIS OF URBAN AREAS WITH HIGH EXPOSURE TO ELECTROMAGNETIC RADIATION EMITTED BY MOBILE PHONE BASE STATIONS. Luna Azul [online]. 2014, n.38, pp.171-190. ISSN 1909-2474.

The uncontrolled proliferation of mobile phone base stations (MPBS) in urban centers and especially in areas with facilities considered vulnerable to non-ionizing radiation (NIR) in relation to the type of people they are home to has generated concerns about the potential adverse health effects that may occur in the population, because of the exposure to electromagnetic radiation emitted by this type of equipment. To address this situation from a technical and environmental approach, a methodology to diagnose areas exposed to NIR issued by MPBS was designed and implemented, which takes into account threatening and vulnerable factors of this potential risk scenario. This methodology is structured through the development of an MPBS inventory, a zoning of the areas exposed to high NIR emitted by these radio-electric sources, and the implementation of a multicriteria matrix. With the interaction of these three elements, a risk map is generated by exposure to NIR emitted by MPBS, which facilitates the location and visualization of areas with high exposure at the territorial level, thus considering the areas of greatest vulnerability. Finally, based on these results a diagnosis of the risk scenario is obtained by the MPBS positioning, being possible to identify critical or high risk areas, which are considered as sensitive areas where NIR emission and immision measurements must be done as a priority and determine the accomplishment of defined limits. The validation of this methodology was made in the municipality of Cartago (Valle del Cauca), where areas highly exposed to NIR emitted by EBTM were diagnosed and high-risk areas were identified.

Palabras clave : Non-ionizing electromagnetic radiations; mobile phone base stations; risk scenario; risk map.

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