The role of loess weathering in arsenic mobility in groundwater from the Chaco-Pampean Plain (Argentina)
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Armengol Vall, Sandra; Ayora Ibáñez, Carlos; Manzano Arellano, María del Sol; Bea, Sergio; Martínez, SandraÁrea de conocimiento
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This work has been funded by the Autoridad de Cuenca Matanza Riachuelo (ACUMAR). S.A. The first author thanks the National Council of Scientific and Technical Research (CONICET, Argentina) for doctoral fellowship.Realizado en/con
Instituto de Hidrología de Llanuras, CONICET, Argentina; Instituto de Diagnóstico Ambiental y Estudios del Agua, CSIC; Barcelona; Autoridad de Cuenca Matanza-Riachuelo, ArgentinaFecha de publicación
2020-08Editorial
ElsevierCita bibliográfica
Armengol, S.; Ayora, C.; Manzano, M.; Bea, S.; Martínez, S. 2020. The role of loess weathering in arsenic mobility in groundwater from the Chaco-Pampean Plain (Argentina). Journal of Hydrology, 587 (2020) 124984. https://doi.org/10.1016/j.jhydrol.2020.124984Revisión por pares
siPalabras clave
LoessGeochemical modeling
Dissolution kinetics
Cation exchange
Volcanic glass
Arsenic
Localización
Resumen
The Chaco-Pampean Plain (CPP), Argentina, is one of the most extensive loess areas in the world, higlhly
productive in terms of agriculture and livestock and with a generalized groundwater signature of Na-HCO3 water type. High As concentrations have been often reported in aquifers throughout the entire CPP related to higher pH and alkalinity values. The processes leading to the groundwater from the humid Matanza-Riachuelo Aquifer System (MRAS) to acquire its alkalinity and pH have been investigated by means of detailed sampling of water and solid phases and geochemical modeling (Phreeqc code). The model has also been applied to two extra areas of the CPP with different climates: the semi-arid Río Dulce Alluvial Aquifer (RDA), and the arid Northern area of the La Pampa province (NLP). The analyses of groundwater from the three different regions (from humid to arid) confirm the positive correlation between arsenic and the high pH and HCO3 concentrations. The model has offered insights ...
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