Quantifying the impact of melting alpine glaciers on mountain groundwater systems is a new frontier in the study of alpine glaciers1. Our fundamental understanding of the importance of alpine glacial meltwater on mountain-block recharge (MBR) and groundwater processes beyond the glacial catchment continues to evolve, but large uncertainties remain2,3,4,5. For example, it remains unclear how glacial ice loss is impacting baseflow generation in streams and perennial flow from alpine springs. The hydrology and hydrogeology of glaciated alpine catchments have changed dramatically since the 1960s due to increased rates of glacial retreat1,6. Thus, it's imperative that these knowledge gaps be addressed quickly since many alpine glaciers are rapidly retreating. Baseflow is defined as that portion of streamflow that is supported by delayed sources of water7 and it is especially critical in maintaining flow in streams during dry months or droughts. In alpine catchments, delayed sources of water may include water stored in soil, shallow aquifers in unconsolidated glacial sediment such as till and talus, and deep aquifers in bedrock5,8,9,10,11. During the summer melt season, streamflow is an integration of different sources of water from different runoff mechanisms including surface runoff (overland flow) from glacial melt, shallow subsurface flow through soil, and groundwater. During the remainder of the year, baseflow becomes increasingly important at maintaining flow in the stream2,3,4.
As alpine glaciers retreat, the volume of surface runoff from meltwater increases until the catchment reaches a state known as peak water12. The peak-water conceptual model states that freshwater withdrawals can continue in a renewable fashion so long as withdrawals do not exceed recharge rates or replenishment rates13. As applied to glacial catchments, the volume of surface runoff must decrease after reaching the peak-water tipping point12,14,15 since glacial ice is not being replenished. The volume of surface runoff from meltwater in a post-peak water state will be much lower than it was prior to the onset of glacier retreat or pre-peak water state12. However, it’s unknown to what extent or how long baseflow will support streamflow from these catchments as the catchment transitions to an ice-free state.
The terms resistant and resilient are traditionally used in ecological studies16,17, but they are also useful in assessing the responses of hydrological/hydrogeological systems to climate change18. Resistant implies that the system does not change due to stressors16,17. In a hydrological context, resistant means that the system does not change due to stressors such as reductions in recharge or a loss of recharge associated with climate change18. Resilient, in comparison, implies that the system may change in response to a disturbance, but it will return to a state in which it has approximately the same function as it had in the pre-disturbance state17. Hydrological systems rarely show resistance to stressors, but they often show wide variability in resilience. The alpine glacio-hydrological system is no exception; it is not resistant to the effects of losing ice and it’s unknown to what extent these systems are resilient to the same stressors. Despite recent advances in quantifying recharge from alpine glacial meltwater2,3,4,5,19, the baseflow response to deglaciation in alpine catchments remains largely unknown because there have been few studies focused on changes in baseflow as the glaciers retreat3,4 and the peak-water conceptual model does not explicitly account for changes in baseflow12. Consequently, we do not know what processes or which reservoirs of water provide resiliency in high-alpine catchments or how long these catchments may show resiliency.
Identifying the baseflow component in streamflow from alpine glacial catchments is complicated because there may be several reservoirs of delayed flow present in the catchment5,8,9,10,11. Each reservoir has a characteristic hydraulic response time that is defined as the time it takes for discharge from the aquifer to respond to a disturbance20,21, for example, a change in recharge. Groundwater responses always lag the disturbance. Lag-times can range from a few days to several decades or longer. Shallow aquifers typically have shorter response times than deep aquifers and/or bedrock aquifers although there are exceptions. The “true” hydraulic response time of the catchment is a multiplexed signal of the different response times20. In this study, we investigate the groundwater response to alpine glacial melt by comparing changes in post-peak baseflow to pre-peak baseflow.
One hypothesis is that recharge from glacial meltwater is insignificant (except to shallow aquifers), therefore groundwater does not provide substantial resilience in a post-peak water state. Recent research shows that the amount of recharge attributed to glacial meltwater is highly variable and may be greatest near the runoff channel2,3,4. However, other research shows that a substantial fraction of MBR is sourced from glacial meltwater and it supports flow within the mountain block5,22. We test a competing hypothesis based on the latter which states that groundwater recharge from glacial meltwater is not insignificant, consequently baseflow provides short-term resilience to the alpine catchment in a post-peak water state. We test the hypothesis using the delayed-flow index (DFI) method23 since it can, in principle, identify the different groundwater reservoirs in the catchment without the aid of additional field measurements used to identify the exact locations of groundwater stores24. The DFI method is based on the local minimum method25,26 where an algorithm checks a specific day of a hydrograph to see if it contains the lowest discharge in a pre-determined window size including adjacent days on either side of the specific day (see SM). The window then moves on to the next day in the hydrograph and repeats the calculation. DFI values are calculated for increasing window sizes, also called block length numbers (BLEN; reported in days)23. When the BLEN is small (BLEN < approximately 10 days), the algorithm selects minimum discharge points over very short windows of time. These minimum values tend to be associated with larger and more variable discharge values with short delays representing groundwater from aquifers with perhaps limited storage, e.g., shallow aquifers in glacial sediment. When the BLEN is large (BLEN > approximately 40 days), the algorithm selects the lowest discharge point occurring over a much larger window in time, thereby excluding higher minimum discharge values and ignoring large fluctuations in minimum discharge23. As a consequence, the delayed flow time series is much lower and less variable than the original streamflow time series and usually represents contributions of groundwater from aquifers with greater storage, e.g., bedrock aquifers with very long delays. Therefore, DFI values should decrease with increasing BLEN because larger BLENs are associated with reservoirs having increasingly attenuated event-scale responses.
Characteristic delay curves (CDCs) and breakpoints (BPs) identify different reservoirs (components) of delayed water that contribute to streamflow23. The CDC is created by plotting the DFI (ranging from 0 to 1.0) against the BLEN23. BPs are natural inflection points that are present in the CDC. The areas between consecutive BPs define the different delay classes of water. For example, the area between DFI0 (BLEN = 0) and DFI1 is called a short delay class of water, DFI1 and DFI2 is called the intermediate delay class, DFI2 and DFI3 is called the long delay class, and DFI3 + is called the baseline delay class23. The baseline delay class is associated with the largest BLEN and is likely representative of groundwater from deeper aquifers. We calculate a DFI for each BP which represents the proportion of discharge associated with that delay class divided by the total discharge. Therefore, the DFI at each BP ranges from 0 to 1; the sum of DFI for all BPs equals total discharge. If DFI for a given BP increases post-peak as compared to pre-peak water, then this indicates that more baseflow is contributing to the stream post-peak water. If our competing hypothesis is true, then we expect to see an increase in the proportion of baseflow in a post-peak water state.
After rigorously screening 800 global glacial catchments (SM and Fig. S1), three catchments in the Swiss Alps were selected for this study: Glatt Firn, Rottengletscher (Rhone Glacier), and Roseggletscher (Fig. 1). The glaciers in these catchments have retreated considerably since the 1950s; Rottengletscher catchment (39.33 km2) lost 8.71 km2 of ice, Roseggletscher catchment (66.19 km2) lost 13.5 km2, and Glatt Firn catchment (20.96 km2) lost 3.84 km2, representing 22%, 20%, and 18% of ice cover from 1850 to the early 2000s, respectively (Table S1). The geology of the catchments, change in glacial cover through time, and types of geological material that the streams cross in the catchments are provided in Figs. S3, S4, and S5. The peak-water year was calculated for each of the three catchments by plotting annual discharge through time and then applying an 11-year moving average of annual discharge to rule out long-term atmospheric oscillations8. The peak-water year was then used to divide the stream discharge, temperature, and precipitation time series into pre-peak water and post-peak water states (Fig. 2).