Articles | Volume 30, issue 11
https://doi.org/10.5194/hess-30-3425-2026
https://doi.org/10.5194/hess-30-3425-2026
Research article
 | 
03 Jun 2026
Research article |  | 03 Jun 2026

Symbolic regression-based regionalization of baseflow separation parameter using catchment-scale characteristics

Yongen Lin, Dagang Wang, Yiwen Mei, Jinxin Zhu, Huan Wu, Shuo Wang, Zhonghou Xu, Asaad Y. Shamseldin, and Emmanouil N. Anagnostou

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Short summary
Understanding how baseflow contributes to river flow is essential for managing water resources. We studied a widely used method for separating baseflow and found that a key parameter was often estimated too simply. Using symbolic regression and data from 855 catchments, we uncovered new formulas that greatly improve accuracy and reveal how soil, snow, and catchment size jointly influence baseflow estimation.
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