Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 8
Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4401-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-4401-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 8
Research article
 | 
21 Aug 2018
Research article |  | 21 Aug 2018

Detecting dominant changes in irregularly sampled multivariate water quality data sets

Christian Lehr, Ralf Dannowski, Thomas Kalettka, Christoph Merz, Boris Schröder, Jörg Steidl, and Gunnar Lischeid

Viewed

Total article views: 3,533 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,223 1,173 137 3,533 434 76 85
  • HTML: 2,223
  • PDF: 1,173
  • XML: 137
  • Total: 3,533
  • Supplement: 434
  • BibTeX: 76
  • EndNote: 85
Views and downloads (calculated since 16 Feb 2018)
Cumulative views and downloads (calculated since 16 Feb 2018)

Viewed (geographical distribution)

Total article views: 3,533 (including HTML, PDF, and XML) Thereof 3,246 with geography defined and 287 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
We suggested and tested an exploratory approach for the detection of dominant changes in multivariate water quality data sets with irregular sampling in space and time. The approach is especially recommended for the exploratory assessment of existing long-term low-frequency multivariate water quality monitoring data.
Read more