Caracterización de materia orgánica natural en un río serrano de Córdoba y su relevancia en el proceso de potabilización
; Ledesma, Ana Estela
; Herrera, Elisa Gabriela
; León, José Gabriel 
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Fecha
12/2024
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Universidad Nacional de Catamarca
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Investigaciones en Facultades de Ingeniería del NOA
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1853-6662
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La caracterización de la materia orgánica natural (MON) en fuentes de agua potable es clave para optimizar su remoción mediante coagulación química, reduciendo la formación de subproductos de desinfección (SPDs) potencialmente perjudiciales. En este estudio, se analizó la composición de la MON en muestras de agua del río Icho Cruz, provincia de Córdoba, Argentina, tomadas durante un episodio de incremento repentino de caudal (creciente) en el verano 2022-2023. Se midieron temperatura (14,5 ± 1,5 °C), color verdadero (52 ± 9 UC), color aparente (126 ± 48 UC), alcalinidad (7 ± 4 mg CaCO₃/L), turbidez (5,2 ± 2,0 UNT), pH (6,8 ± 0,3), conductividad (27 ± 9 µS/cm) y carbono orgánico disuelto (COD 6,1 ± 1,9 mg C/L). El cálculo del índice SUVA₂₅₄ (3,7 ± 1,0) indica MON hidrofóbica, aromática y de alto peso molecular, con alto potencial de formar SPDs. En coincidencia, los índices obtenidos mediante espectroscopía de fluorescencia revelaron una alta humificación (HIX > 4) y material degradado (BIX < 0,6). Mediante espectroscopia raman, se identificaron señales de ácido fúlvico y sustancias húmicas utilizando diferentes tratamientos. Estos resultados aportan conocimiento sobre la MON en Argentina y brindan información útil para optimizar la potabilización del agua en la región.
The characterization of natural organic matter (NOM) in drinking water sources is key to optimizing its removal through chemical coagulation, reducing the formation of potentially harmful disinfection byproducts (DBPs). In this study, the composition of NOM was analyzed in water samples from the Icho Cruz River, located in Córdoba Province, Argentina, collected during a sudden flow increase event (flood) in the summer of 2022-2023. The following parameters were measured: temperature (14.5 ± 1.5 °C), true color (52 ± 9 UC), apparent color (126 ± 48 UC), alkalinity (7 ± 4 mg CaCO₃/L), turbidity (5.2 ± 2.0 NTU), pH (6.8 ± 0.3), conductivity (27 ± 9 µS/cm), and dissolved organic carbon (DOC 6.1 ± 1.9 mg C/L). The SUVA₂₅₄ index (3.7 ± 1.0) indicates that the river water contains hydrophobic, aromatic, high-molecularweight NOM, which has a high potential for DBPs formation. Consistently, indices obtained through fluorescence spectroscopy reveal high humification (HIX > 4) and a high content of degraded material (BIX < 0.6). Raman spectroscopy identified fulvic acid and humic substances using different treatments. This study contributes to the understanding of NOM composition in Argentina and provides valuable information for optimizing drinking water treatment management in the region.
The characterization of natural organic matter (NOM) in drinking water sources is key to optimizing its removal through chemical coagulation, reducing the formation of potentially harmful disinfection byproducts (DBPs). In this study, the composition of NOM was analyzed in water samples from the Icho Cruz River, located in Córdoba Province, Argentina, collected during a sudden flow increase event (flood) in the summer of 2022-2023. The following parameters were measured: temperature (14.5 ± 1.5 °C), true color (52 ± 9 UC), apparent color (126 ± 48 UC), alkalinity (7 ± 4 mg CaCO₃/L), turbidity (5.2 ± 2.0 NTU), pH (6.8 ± 0.3), conductivity (27 ± 9 µS/cm), and dissolved organic carbon (DOC 6.1 ± 1.9 mg C/L). The SUVA₂₅₄ index (3.7 ± 1.0) indicates that the river water contains hydrophobic, aromatic, high-molecularweight NOM, which has a high potential for DBPs formation. Consistently, indices obtained through fluorescence spectroscopy reveal high humification (HIX > 4) and a high content of degraded material (BIX < 0.6). Raman spectroscopy identified fulvic acid and humic substances using different treatments. This study contributes to the understanding of NOM composition in Argentina and provides valuable information for optimizing drinking water treatment management in the region.
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