2021
DOI: 10.1029/2020wr028598
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Assessing Streamflow Sensitivity to Precipitation Variability in Karst‐Influenced Catchments With Unclosed Water Balances

Abstract: Karst water resources are estimated to provide drinking water to 10%-25% of the world's population (Ford & Williams, 2007; Stevanović, 2019). In some countries and regions, for example, Austria and Slovenia, karst water resources account for approximately half of the total water supply (Hartmann, Goldscheider, et al., 2014; Stevanović, 2019). Chemical weathering of carbonate rock results in a strong subsurface heterogeneity in karstic areas, which leads to groundwater recharge and storage behavior substantiall… Show more

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Cited by 19 publications
(12 citation statements)
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References 86 publications
(117 reference statements)
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“…However, comparing flow metrics directly rather than runoff ratios assumes uniform recharge depths, which may be unreasonable in mountain watersheds spanning a large elevation range. Variations in Q N over the baseflow period may be attributed to piracy routes feeding water either into (elevated baseflow) or out of (reduced baseflow) each subcatchment (Hartmann et al, 2014; Liu et al, 2021) or to different conduits engaging at different times. Outlet‐normalized median baseflow magnitude can help highlight systems with basinwide gains or losses, but this response is also influenced by aquifer connectivity and storage (see below).…”
Section: Discussionmentioning
confidence: 99%
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“…However, comparing flow metrics directly rather than runoff ratios assumes uniform recharge depths, which may be unreasonable in mountain watersheds spanning a large elevation range. Variations in Q N over the baseflow period may be attributed to piracy routes feeding water either into (elevated baseflow) or out of (reduced baseflow) each subcatchment (Hartmann et al, 2014; Liu et al, 2021) or to different conduits engaging at different times. Outlet‐normalized median baseflow magnitude can help highlight systems with basinwide gains or losses, but this response is also influenced by aquifer connectivity and storage (see below).…”
Section: Discussionmentioning
confidence: 99%
“…Assessing streamflow sensitivity to snowmelt variability via improved understanding of groundwater controls in these hydrologic systems is critical (Godsey et al, 2014;Liu et al, 2021;Tague & Grant, 2009).…”
Section: Limitations and Next Stepsmentioning
confidence: 99%
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“…In cases where snowmelt represents a controlling factor in the water balance of karst areas, Doummar et al (2018) showed that groundwater recharge estimations are most sensitive to temperature variations. That is mainly due to the importance temperature has for the timing of snow accumulation and melt and the resulting control on a spring's discharge behavior (Liu et al 2021).…”
Section: Introductionmentioning
confidence: 99%