A state indicator on regional scale for high-voltage power lines: defining a priority for in situ inspections (Articolo in rivista)

Type
Label
  • A state indicator on regional scale for high-voltage power lines: defining a priority for in situ inspections (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • Comelli M., Colonna N., Martini L. and Licitra G. (2009)
    A state indicator on regional scale for high-voltage power lines: defining a priority for in situ inspections
    in Radiation protection dosimetry
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Comelli M., Colonna N., Martini L. and Licitra G. (literal)
Pagina inizio
  • 223 (literal)
Pagina fine
  • 226 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 137 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Comelli M., Colonna N., Martini L. and Licitra G.: \"A state indicator on regional scale for high-voltage power lines: defining a priority for in situ inspections\", Radiation Protection Dosimetry, Vol.137, N.3-4, December 2009, pp.223-226; doi:10.1093/rpd/ncp223. (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IFAC-CNR, ARPAT (literal)
Titolo
  • A state indicator on regional scale for high-voltage power lines: defining a priority for in situ inspections (literal)
Abstract
  • An integrated system to evaluate the magnetic field generated by power lines exposure has been developed using a specific simulation model (PLEIA-EMF). This is part of a software toolset, subjected to internal suitability verifications and in-field validations. A state indicator related to each span has been determined using the data extracted from digital cartography, the magnetic field calculated by PLEIA and the number of people living in the nearest buildings. In this way, it is possible to determine eventual criticalities in the considered area, focusing attention on those cases with more considerable exposure levels and involving a higher number of people. A campaign of inspections has been planned using PLEIA simulations. The reliability of stored technical data and the real population exposure levels have been evaluated in critical cases, individuated through the following described methodology. The procedures leading to the indicator determination and the modalities of in situ inspections are here presented. (literal)
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