Articles | Volume 29, issue 23
https://doi.org/10.5194/hess-29-6959-2025
https://doi.org/10.5194/hess-29-6959-2025
Research article
 | 
03 Dec 2025
Research article |  | 03 Dec 2025

Enhanced baseflow separation in rural catchments: event-specific calibration of recursive digital filters with tracer-derived data

Fernanda Helfer, Felipe Bernardi, Claudia Alessandra Peixoto de Barros, Daniel Gustavo Allasia, Jean Paolo Gomes Minella, Rutinéia Tassi, and Néverton Scariot

Cited articles

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Arnold, J. G. and Allen, P. M.: Automated methods for estimating baseflow and groundwater recharge from streamflow records, J. Am. Water Resour. Assoc., 35, 411–424, https://doi.org/10.1111/j.1752-1688.1999.tb03599.x, 1999. 
Arnold, J. G., Allen, P. M., Muttiah, R., and Bernhardt, G.: Automated base-flow separation and recession analysis techniques, Ground Water, 33, 1010–1018, https://doi.org/10.1111/j.1745-6584.1995.tb00046.x, 1995. 
Asano, Y., Uchida, T., and Ohte, N.: Hydrologic and geochemical influences on the dissolved silica concentration in natural water in a steep headwater catchment, Geochim. Cosmochim. Ac., 67, 1973–1989, https://doi.org/10.1016/S0016-7037(02)01342-X, 2003. 
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Short summary
This study improves how we measure the slow, steady flow of water in rivers, known as baseflow, which is vital for ecosystems and water supply. By combining chemical tracers with data-filtering techniques, the research offers a more accurate way to separate baseflow from fast runoff. This approach helps scientists better track water movement and manage water resources, especially during dry seasons and in changing climates.
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