Explaining the Variability in High-Frequency Nitrate Export Patterns
Using Long-Term Hydrological Event Classification
Abstract
Runoff events play an important role for nitrate export from catchments,
but the variability of nutrient export patterns between events and
catchments is high and the dominant drivers remain difficult to
disentangle. Here, we rigorously asses if detailed knowledge on runoff
event characteristics can help to explain this variability. To this end,
we conducted a long-term (1955 - 2018) event classification using
hydro-meteorological data, including soil moisture, snowmelt and the
temporal organization of rainfall, in six neighboring mesoscale
catchments with contrasting land use types. We related these event
characteristics to nitrate export patterns from high-frequency nitrate
concentration monitoring (2013 - 2017) using concentration-discharge
relationships. Our results show that small rainfall-induced events with
dry antecedent conditions exported lowest nitrate concentrations and
loads but exhibited highly variable concentration-discharge
relationships. We explain this by a low fraction of active flow paths,
revealing the spatial heterogeneity of nitrate sources within the
catchments and by an increased impact of biogeochemical retention
processes. In contrast, large rainfall or snowmelt-induced events
exported highest nitrate concentrations and loads and converged to
similar chemostatic export patterns across all catchments, without
exhibiting source limitation. We explain these homogenous export
patterns by high catchment wetness that activated a high number of flow
paths. Long-term hydro-meteorological data indicated an increase of
events with dry antecedent conditions in summer and decreased
snow-influenced events. These trends will likely continue and lead to an
increased nitrate concentration variability during low-flow seasons and
to changes in the timing of largest nitrate export peaks during
high-flow seasons.