Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment

Schuetz, Tobias; Gascuel-Odoux, Chantal; Durand, Patrick; Weiler, Markus

doi:https://doi.org/10.5194/hess-20-843-2016

Articles | Volume 20, issue 2

https://doi.org/10.5194/hess-20-843-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-843-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 2

Research article

|

23 Feb 2016

Research article |

| 23 Feb 2016

Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment

Tobias Schuetz, Chantal Gascuel-Odoux, Patrick Durand, and Markus Weiler

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Final revised paper (published on 23 Feb 2016)
Preprint (discussion started on 31 Aug 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C4353: 'Comments on Schuetz et al ‘Nitrate sinks and sources . . . .’ (hess-2015-347)', Anonymous Referee #1, 21 Oct 2015
- AC C5683: 'Response to Referee #1', Tobias Schuetz, 18 Dec 2015
RC C4417: 'A few suggested word changes', Anonymous Referee #1, 26 Oct 2015
- AC C5686: 'Response 2 to Referee #1', Tobias Schuetz, 18 Dec 2015
RC C4465: 'HESS 2015-347', Anonymous Referee #2, 26 Oct 2015
- AC C5687: 'Response to Referee #2', Tobias Schuetz, 18 Dec 2015
RC C4882: 'Review', Anonymous Referee #3, 16 Nov 2015
- AC C5691: 'Response to Referee #3', Tobias Schuetz, 18 Dec 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (08 Jan 2016) by Alison D. Reeves

AR by Tobias Schuetz on behalf of the Authors (07 Feb 2016) Author's response Manuscript

Short summary

We quantify the spatio-temporal impact of distinct nitrate sinks and sources on stream network nitrate dynamics in an agricultural headwater. By applying a data-driven modelling approach, we are able to fully distinguish between mixing and dilution processes, and biogeochemical in-stream removal processes along the stream network. In-stream nitrate removal is estimated by applying a novel transfer coefficient based on energy availability.