Disentangling scatter in long-term concentration–discharge relationships: the role of event types

Saavedra, Felipe A.; Musolff, Andreas; von Freyberg, Jana; Merz, Ralf; Basso, Stefano; Tarasova, Larisa

doi:https://doi.org/10.5194/hess-26-6227-2022

Articles | Volume 26, issue 23

https://doi.org/10.5194/hess-26-6227-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-26-6227-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 23

Research article

|

12 Dec 2022

Research article |

| 12 Dec 2022

Disentangling scatter in long-term concentration–discharge relationships: the role of event types

Felipe A. Saavedra, Andreas Musolff, Jana von Freyberg, Ralf Merz, Stefano Basso, and Larisa Tarasova

Supplement

https://doi.org/10.5194/hess-26-6227-2022-supplement

Data sets

WQQDB - water quality and quantity data base Germany A. Musolff https://doi.org/10.4211/hs.a42addcbd59a466a9aa56472dfef8721

CCDB - catchment characteristics data base Germany Ebeling, P., R. Kumar, and A. Musolff https://doi.org/10.4211/hs.82f8094dd61e449a826afdef820a2c19

Classified runoff events L. Tarasova https://doi.org/10.5281/zenodo.3575024

Short summary

Nitrate contamination of rivers from agricultural sources is a challenge for water quality management. During runoff events, different transport paths within the catchment might be activated, generating a variety of responses in nitrate concentration in stream water. Using nitrate samples from 184 German catchments and a runoff event classification, we show that hydrologic connectivity during runoff events is a key control of nitrate transport from catchments to streams in our study domain.