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

Journal metrics

Journal metrics

  • IF value: 5.153 IF 5.153
  • IF 5-year value: 5.460 IF 5-year
    5.460
  • CiteScore value: 7.8 CiteScore
    7.8
  • SNIP value: 1.623 SNIP 1.623
  • IPP value: 4.91 IPP 4.91
  • SJR value: 2.092 SJR 2.092
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 123 Scimago H
    index 123
  • h5-index value: 65 h5-index 65
Preprints
https://doi.org/10.5194/hess-2020-228
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-228
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 Jul 2020

02 Jul 2020

Review status
This preprint is currently under review for the journal HESS.

Pesticide peak concentration reduction in a small vegetated treatment system controlled by chemograph shape

Jan Greiwe1, Oliver Olsson2, Klaus Kümmerer2, and Jens Lange1 Jan Greiwe et al.
  • 1Hydrology, University of Freiburg, Fahnenbergplatz, 79098 Freiburg, Germany
  • 2Institute of Sustainable and Environmental Chemistry, Leuphana Universityof Lueneburg, Scharnhorststr. 1, 21335 Lueneburg, Germany

Abstract. Pesticides may impact aquatic organisms when entering water bodies. Measures for mitigation against pesticide inputs include vegetated treatment systems (VTS). Some of these systems have very short hydraulic retention time (< 1 h) but nevertheless manage to effectively reduce peak concentrations of contaminants. We hypothesize that this is not solely the result of contaminant and VTS properties but also related to the shape of the contaminants input chemograph, i.e. its sensitivity to dispersion. In order to test this hypothesis we performed a cluster analysis on the chemographs of contaminants mobilized in response to rainfall events in a viticultural catchment and derived a measure for dispersion sensitivity which we included into multiple linear regression analysis. The resulting measure was then incorporated into multiple linear regression models for description of contaminant mitigation in a VTS located at the catchment outlet. We found that the mobilization clusters reflected the source areas of the contaminants and that dispersion sensitivity was the dominant explanatory variable for the reduction of contaminant peak concentration. These findings imply that mitigation of the toxicological risk in VTS may be stronger for compounds with pronounced peaks than for those abundantly available in a catchment.

Jan Greiwe et al.

Interactive discussion

Status: open (until 27 Aug 2020)
Status: open (until 27 Aug 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Jan Greiwe et al.

Viewed

Total article views: 206 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
139 52 15 206 17 12 10
  • HTML: 139
  • PDF: 52
  • XML: 15
  • Total: 206
  • Supplement: 17
  • BibTeX: 12
  • EndNote: 10
Views and downloads (calculated since 02 Jul 2020)
Cumulative views and downloads (calculated since 02 Jul 2020)

Viewed (geographical distribution)

Total article views: 105 (including HTML, PDF, and XML) Thereof 105 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 07 Aug 2020
Publications Copernicus
Download
Short summary
Measures for mitigation of harmful pesticide inputs to water bodies include vegetated treatment systems. We found that such systems perform better in terms of reducing pesticide peak concentration, if a pronounced peak is present in the input concentration signal which makes the signal susceptible to dispersion.
Measures for mitigation of harmful pesticide inputs to water bodies include vegetated treatment...
Citation