Preprints
https://doi.org/10.5194/egusphere-2025-244
https://doi.org/10.5194/egusphere-2025-244
26 Mar 2025
 | 26 Mar 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

Abstract. This study investigates the performance of baseflow separation methods in a small rural catchment, emphasizing the calibration of three Recursive Digital Filters (RDFs): Eckhardt, Lyne and Hollick (LH), and Chapman and Maxwell (CM). By integrating dissolved silica concentration as a reference tracer, the study refines the parameterization of BFImax in the Eckhardt’s filter and Beta in the LH filter. An innovative event-specific calibration methodology was applied, where rainfall events were categorized by intensity to tailor filter parameters accordingly. Results indicate that the Eckhardt’s filter, when calibrated dynamically per event magnitude, yields the most accurate baseflow estimates, closely aligning with observed data. The event-based calibration significantly enhanced accuracy, particularly for the Eckhardt’s and LH filters, compared to a general calibration method. The CM filter, despite generating reasonable hydrograph shapes, consistently underestimated baseflow due to its fixed parameters. These findings highlight the necessity of customized calibration strategies for improved baseflow separation and underscore the superior performance of the Eckhardt’s filter when integrated with event-specific calibrations. This research offers practical insights for hydrologists aiming to optimize baseflow modeling in rural catchments, contributing to improved water resource management and conservation.

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

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-244', Anonymous Referee #1, 28 Apr 2025
    • AC1: 'Reply on RC1', Fernanda Helfer, 29 Apr 2025
  • RC2: 'Comment on egusphere-2025-244', Anonymous Referee #2, 05 May 2025
    • AC2: 'Reply on RC2', Fernanda Helfer, 08 May 2025
  • AC3: 'Comment on egusphere-2025-244', Fernanda Helfer, 13 May 2025

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-244', Anonymous Referee #1, 28 Apr 2025
    • AC1: 'Reply on RC1', Fernanda Helfer, 29 Apr 2025
  • RC2: 'Comment on egusphere-2025-244', Anonymous Referee #2, 05 May 2025
    • AC2: 'Reply on RC2', Fernanda Helfer, 08 May 2025
  • AC3: 'Comment on egusphere-2025-244', Fernanda Helfer, 13 May 2025
Fernanda Helfer, Felipe Bernardi, Claudia Alessandra Peixoto de Barros, Daniel Gustavo Allasia, Jean Paolo Gomes Minella, Rutinéia Tassi, and Néverton Scariot
Fernanda Helfer, Felipe Bernardi, Claudia Alessandra Peixoto de Barros, Daniel Gustavo Allasia, Jean Paolo Gomes Minella, Rutinéia Tassi, and Néverton Scariot

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Short summary
We explored how water flows in small rural streams to improve tools for better managing water resources. Using a new method, we adjusted existing models to consider the size of rainfall events, showing that water movement patterns change depending on the rain’s intensity. This approach makes predictions more accurate and helps scientists and managers understand water availability and protect ecosystems.
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