Vreugdenhil, M., Széles, B., Salinas Illarena, J. L., Strauß, P., Oismueller, M., Hogan, P., Wagner, W., Parajka, J., & Blöschl, G. (2022). Non‐linearity in event runoff generation in a small agricultural catchment. Hydrological Processes, 36(8), Article e14667. https://doi.org/10.1002/hyp.14667
Understanding the role of soil moisture and other controls in runoff generation is important for predicting runoff across scales. This paper aims to identify the degree of non-linearity of the relationship between event peak runoff and potential controls for different runoff generation mechanisms in a small agricultural catchment. The study is set in the 66 ha Hydrological Open Air Laboratory, Austria, where discharge was measured at the catchment outlet and for 11 sub-catchments or hillslopes with different runoff generation mechanisms. Peak runoff of 73 events was related to three potential controls: event precipitation, soil moisture and groundwater levels. The results suggest that the hillslopes dominated by ephemeral overland flow exhibit the most non-linear runoff generation behaviour for its controls; runoff is only generated above a threshold of 95% of the maximum soil moisture. Runoff generation through tile drains and in wetlands is more linear. The largest winter and spring events at the catchment outlet are caused by runoff from hillslopes with shallow flow paths (ephemeral overland flow and tile drainage mechanisms), while the largest summer events are caused by other hillslopes, those with deeper flow paths or with saturation areas throughout the year. Therefore, the response of the entire catchment is a mix of the various mechanisms, and the groundwater contribution makes the response more linear. The implications for hydrological modelling are discussed.
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Projekttitel:
Doktoratskolleg Wasserwirtschaftliche Systeme: W01219 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF))
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Projekt (extern):
European Union’s Horizon 2020
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Projektnummer:
773903-1
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Forschungsschwerpunkte:
Environmental Monitoring and Climate Adaptation: 100%