Articles | Volume 26, issue 21
Hydrol. Earth Syst. Sci., 26, 5431–5447, 2022
Hydrol. Earth Syst. Sci., 26, 5431–5447, 2022
Research article
01 Nov 2022
Research article | 01 Nov 2022

Karst spring recession and classification: efficient, automated methods for both fast- and slow-flow components

Tunde Olarinoye et al.

Data sets

Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater T. Olarinoye, T. Gleeson, V. Marx, S. Seeger, R. Adinehvand, A. Hartmann, et al.

Model code and software

KarstHub/Karst-recession GitHub

Short summary
Analysis of karst spring recession is essential for management of groundwater. In karst, recession is dominated by slow and fast components; separating these components is by manual and subjective approaches. In our study, we tested the applicability of automated streamflow recession extraction procedures for a karst spring. Results showed that, by simple modification, streamflow extraction methods can identify slow and fast components: derived recession parameters are within reasonable ranges.