CIFICEN   24414
CENTRO DE INVESTIGACIONES EN FISICA E INGENIERIA DEL CENTRO DE LA PROVINCIA DE BUENOS AIRES
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Assessment of anthropogenic pollution in Marambio Station (Antarctica) using magnetic and geostatistical methods
Autor/es:
JOSE D. GARGIULO; MARCOS A.E. CHAPARRO
Lugar:
Merida
Reunión:
Congreso; 12th Scientific Assembly IAGA 2013; 2013
Institución organizadora:
IAGA
Resumen:
Results of mass-specific magnetic susceptibility (X) measurement in soils from Marambio Station (Antarctica) and nearby areas are presented. Environmental magnetic studies have successfully carried out in a great number of pollution studies, proving to be a very effective, fast and low cost method. However, it is mainly used for preliminary studies before applying conventional techniques. Antarctic soils are interesting to evaluate new techniques because the low number of pollutions sources allows a direct link between source pollution type and measurement in receptors. Here, continuing previous works, the spatial distribution of X was studied with the aim of describing the magnitude and extent of the anthropogenic impact in this area. A number of 278 topsoil samples were collected from 2004 in three Summer Antarctic Campaigns (SAC) 2003/2004, 2004/2005 and 2005-2006. In the laboratory, the samples were prepared and different magnetics parameters were measured. The study area was divided in zones for posterior statistical and geostatistical analysis, they were: Pristine Area (i.e. without or very low anthropogenic influence), whole Marambio Station and both Power Plant and Solid Waste Disposal inside the station. A statistic significant difference was found in X parameter, between the Pristine Area (<X>= 14.1 x10-8 m3/kg, max 19.7 x10-8 m3/kg) and whole Marambio Station (<X>=31.7 x10-8 m3/kg, max 615.9 x10-8 m3/kg). Two geostatistical data description tools were used: the Moran Index, and variograms for the same four zones. Each of these was fitted following an exponential variograms model and three fitting parameters were found: Sill, Range and Nugget effect. Hence, Kriging maps were obtained to assess the spatial distribution of magnetic carriers reflecting different pollutant sources.