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Exploring hydrological recession dynamics through reference hydrological networks in the UK
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Exploring hydrological recession dynamics through reference hydrological networks in the UK
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Journal Article
Exploring hydrological recession dynamics through reference hydrological networks in the UK
2025
Overview
The streamflow recession analysis, always following a power law, depicts the storage-release relation in catchments. However, the understanding of hydrological recession dynamics is still insufficient. Here, a total of 80 nearly natural catchments from the reference hydrologic networks (RHNs) in the UK were selected to explore the changes and the controlling factors of recession slope curve parameters by utilizing trend analysis methods, the self-organizing map, and k-means clustering algorithms. The results demonstrated that (i) the estimation of event-scale recession parameters was sensitive to different combinations of recession extraction and fitting methods. Particularly, the combination of Brutsaert extraction and the linear regression method always obtained robust estimations of recession parameters. (ii) Changes of annual median recession parameters showed a clear spatial distribution pattern, indicating the climate-driven impact on recession processes. Up to 17 catchments in Scotland showed significant changes in recession processes, always displaying increasing trends in the recession coefficient and decreasing trends in the recession exponent. (iii) The recession exponent strongly depended on the base-flow index, rock permeability, arable area, and temporal distribution of rainfall. Additionally, the spatial patterning of recession processes further provided some insights for facilitating the understanding of the hydrological recession process.
