Artículo
Variability of 222Rn in the sandy aquifer of Buenos Aires coast
Fecha de publicación:
02/2021
Editorial:
Springer Science and Business Media Deutschland GmbH
Revista:
Environmental Earth Sciences
ISSN:
1866-6280
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
222Rn is widely used as a tracer to detect and calculate submarine groundwater discharge in coastal zones, rivers and lakes. Relatively few investigations, however, have used this element for other applications in hydrogeology. We analyze the relationship between 222Rn activity in groundwater and variations in the water cycle in the sandy aquifer of Buenos Aires coast, Argentina. Groundwater levels, electrical conductivity and 222Rn activity were measured in situ in wells in March 2016 and November 2018, representing two different hydrological conditions. Groundwater flow maps were drawn, hydrological gradients and flux velocities were calculated. An inverse correlation between 222Rn activity and recharge conditions was found. Lower water surplus shows higher 222Rn activity and vice versa, potentially due to dilution of high 222Rn activity water with ‘newer’ lower activity recent recharge. A variability in 222Rn spatial distribution was identified along the sand dune barrier. A correlation between 222Rn and groundwater electrical conductivity was not observed.
Palabras clave:
BUENOS AIRES
,
HYDROLOGICAL CYCLE
,
RADON
,
SAND DUNE BARRIER
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - LA PLATA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - LA PLATA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - LA PLATA
Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Articulos de SEDE CENTRAL
Citación
Carretero, Silvina Claudia; Rapaglia, John; Rodrigues Capitulo, Leandro; Kruse, Eduardo Emilio; Variability of 222Rn in the sandy aquifer of Buenos Aires coast; Springer Science and Business Media Deutschland GmbH; Environmental Earth Sciences; 80; 3; 2-2021; 1-14
Compartir
Altmétricas
Items relacionados
Mostrando titulos relacionados por título, autor y tema.
-
Datos de investigación Serie de precipitaciones mensuales Pinamar: Período 2017-2022Rodrigues Capitulo, Leandro (2023)