Geochemical behavior of an acid drainage system: the case of the Amarillo River, Famatina (La Rioja, Argentina)
; Maza, Santiago
; Collo, Gilda
; Sarmiento, A. M. ; Depetris Gallino, Pedro Jose 
Otros responsables
Fecha
01/2017
Editorial
Springer Heidelberg
Revista
Environmental Science and Pollution Research
Título del libro
Nombre del evento
Fecha del evento
Institución organizadora
ISSN
0944-1344
eISSN
1614-7499
ISBN
Idioma
Inglés
Tipo del evento
Clasificación temática
Palabras clave
Resumen
The Amarillo River (Famatina range, Argentina, ~29° S and ~67° W) is unusual because acid mine drainage (AMD) is superimposed on the previously existing acid rock drainage (ARD) scenario, as a Holocene paleolake sedimentary sequence shows. In a markedly oxidizing environment, its water is currently ferrous and of the sulfate-magnesium type with high electrical conductivity (>10 mS cm−1 in uppermost catchments). At the time of sampling, the interaction of the mineralized zone with the remnants of mining labors determined an increase in some elements (e.g., Cu ~3 to ~45 mg L−1; As ~0.2 to ~0.5 mg L−1). Dissolved concentrations were controlled by pH, decreasing significantly by precipitation of neoformed minerals (jarosite and schwertmannite) and subsequent metal sorption (~700 mg kg−1 As, 320 mg kg−1 Zn). Dilution also played a significant role (i.e., by the mixing with circumneutral waters which reduces the dissolved concentration and also enhances mineral precipitation). Downstream, most metals exhibited a significant attenuation (As 100 %, Fe 100 %, Zn 99 %). PHREEQC-calculated saturation indices (SI) indicated that Fe-bearing minerals, especially schwertmannite, were supersaturated throughout the basin. All positive SI increased through the input of circumneutral water. PHREEQC inverse geochemical models showed throughout the upper and middle basin, that about 1.5 mmol L−1 of Fe-bearing minerals were precipitated. The modeling exercise of mixing different waters yielded results with a >99 % of correlation between observed and modeled data.
Colecciones
Aprobación
Revisión
Complementado por
Referenciado por
Licencia Creative Commons
Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa
