| Abstrakt: |
Understanding travel times of rain and snowmelt inputs transported through the subsurface environment to recipient surface waters is critical in many hydrological and biogeochemical investigations. In this study, a particle tracking model approach in Mike SHE was used to investigating the travel time of stream groundwater input to 14 partly nested, long-term monitored boreal sub-catchments. Based on previous studies in the area, we hypothesized that the main factor controlling groundwater travel times was catchment size. The modeled mean travel time (MTT) in the different sub-catchments ranged between 0.5 years and 3.6 years. Estimated MTTs were tested against the observed long-term winter isotopic signature (S2H, S18O) and chemistry (base cation concentration and pH) of the stream water. The underlying assumption was that older water would have an isotopic signature that resembles the long-term average precipitation input, while seasonal variations would be more apparent in catchments with younger water. Similarly, it was assumed that older water would be more affected by weathering, resulting in higher concentrations of base cations and higher pH. 10-year average winter values for stream chemistry were used for each sub-catchment. We found significant correlations between the estimated travel times and average water isotope signature (r=0.80, p<0.001 for S18O; r=0.81, p<0.001 for S2H). We also found a strong correlation between MTT and base cation concentration (r=0.77, p<0.001) and pH of the streams (r=0.54, p<0.01), which strengthened the credibility ofthe model. There was no statistical correlation between catchment size and MTT of groundwater, hence refuting our hypothesis. Instead, one landscape characteristic, low conductive sediments, were found to be most influential. Its areal proportion was found to positively affect MTT. [ABSTRACT FROM AUTHOR] |
