Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Download
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.
Articles | Volume 20, issue 2
Hydrol. Earth Syst. Sci., 20, 843–857, 2016
https://doi.org/10.5194/hess-20-843-2016
Hydrol. Earth Syst. Sci., 20, 843–857, 2016
https://doi.org/10.5194/hess-20-843-2016

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 et al.

Viewed

Total article views: 2,395 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,063 819 513 2,395 71 75
  • HTML: 1,063
  • PDF: 819
  • XML: 513
  • Total: 2,395
  • BibTeX: 71
  • EndNote: 75
Views and downloads (calculated since 31 Aug 2015)
Cumulative views and downloads (calculated since 31 Aug 2015)

Cited

Saved (preprint)

Latest update: 20 Jan 2021
Publications Copernicus
Download
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.
Citation