Seasonal variability of stream water quality response to storm events captured using high-frequency and multi-parameter data

• Published in: Journal of hydrology (Amsterdam) Vol. 559; pp. 282 - 293
• Main Authors: Fovet, O., Humbert, G., Dupas, R., Gascuel-Odoux, C., Gruau, G., Jaffrezic, A., Thelusma, G., Faucheux, M., Gilliet, N., Hamon, Y., Grimaldi, C.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2018; Elsevier
• Subjects: Descriptors; Earth Sciences; High frequency data; Hydrology; Hysteresis; Rural catchment; Sciences of the Universe; Storms; Water quality; Storms; Descriptors; High frequency data; Rural catchment; Hysteresis; Water quality; Storms, Water quality, High frequency data, Hysteresis, Rural catchment
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2018.02.040

•Storms stream flow, turbidity, NO3 and DOC concentrations and groundwater levels were described.•A set of functional descriptors was proposed to identify and interpret storm patterns.•Groundwater dynamics control seasonality of storm responses via sources connectivity. The response of stream chemistry to storm is of major interest for understanding the export of dissolved and particulate species from catchments. The related challenge is the identification of active hydrological flow paths during these events and of the sources of chemical elements for which these events are hot moments of exports. An original four-year data set that combines high frequency records of stream flow, turbidity, nitrate and dissolved organic carbon concentrations, and piezometric levels was used to characterize storm responses in a headwater agricultural catchment. The data set was used to test to which extend the shallow groundwater was impacting the variability of storm responses. A total of 177 events were described using a set of quantitative and functional descriptors related to precipitation, stream and groundwater pre-event status and event dynamics, and to the relative dynamics between water quality parameters and flow via hysteresis indices. This approach led to identify different types of response for each water quality parameter which occurrence can be quantified and related to the seasonal functioning of the catchment. This study demonstrates that high-frequency records of water quality are precious tools to study/unique in their ability to emphasize the variability of catchment storm responses.