In an era of increasing water scarcity, understanding the recession flow dynamics of karst aquifers is critical for conserving the water supplies on which millions rely. We use the coefficient k from the power-law connection between and discharge at time (with fixed exponent α) to generate effective solutions for real-world water difficulties. This study provides a comprehensive evaluation of recession flow dynamics across Croatian karst basins, utilizing an innovative dual-method framework that combines: (1) basin-specific parameter derivation using the Brutsaert-Nieber constant time step method, and (2) systematic assessment of universal recession constants' predictive performance under anthropogenic influences. Our findings show three key facts that have significant significance for karst water management. First, the Brutsaert-Nieber technique excels at capturing the distinctive dual-drainage behavior of karst systems, accurately reflecting both rapid conduit flow and slower matrix drainage processes. Second, a comparative study reveals that universal parameters are useful and valid for theoretical benchmarking but have major limitations in anthropogenically modified basins, where water withdrawals and land-use changes disrupt natural recession patterns. Third, the analysis identifies different indications of human effect on recession curves, with managed systems consistently deviating from theoretical assumptions at multiple temporal scales. Overall, these findings are particularly important for karst systems under increasing anthropogenic stress, and the scientific methodology has transferable relevance for similar ecosystems worldwide.
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Recession Flow Dynamics in Karst Basins: Comparing Basin-Specific and Universal Approaches Under Anthropogenic Influences
Published:
06 November 2025
by MDPI
in The 9th International Electronic Conference on Water Sciences
session Hydrological Processes and Modelling
Abstract:
Keywords: karst hydrology, recession analysis, Brutsaert-Nieber method, universal parameters, anthropogenic impacts, water management, discharge prediction