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

Viewed

Total article views: 1,676 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,246 364 66 1,676 23 56 74
  • HTML: 1,246
  • PDF: 364
  • XML: 66
  • Total: 1,676
  • Supplement: 23
  • BibTeX: 56
  • EndNote: 74
Views and downloads (calculated since 26 Mar 2025)
Cumulative views and downloads (calculated since 26 Mar 2025)

Viewed (geographical distribution)

Total article views: 1,676 (including HTML, PDF, and XML) Thereof 1,670 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jan 2026
Download
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.
Share