Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 8
Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-1977-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1977-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 8
Research article
 | 
22 Apr 2022
Research article |  | 22 Apr 2022

A data-driven method for estimating the composition of end-members from stream water chemistry time series

Esther Xu Fei and Ciaran Joseph Harman

Viewed

Total article views: 1,746 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,241 465 40 1,746 44 37
  • HTML: 1,241
  • PDF: 465
  • XML: 40
  • Total: 1,746
  • BibTeX: 44
  • EndNote: 37
Views and downloads (calculated since 15 Jun 2020)
Cumulative views and downloads (calculated since 15 Jun 2020)

Viewed (geographical distribution)

Total article views: 1,746 (including HTML, PDF, and XML) Thereof 1,578 with geography defined and 168 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Mar 2023
Download
Short summary
Water in streams is a mixture of water from many sources. It is sometimes possible to identify the chemical fingerprint of each source and track the time-varying contribution of that source to the total flow rate. But what if you do not know the chemical fingerprint of each source? Can you simultaneously identify the sources (called end-members), and separate the water into contributions from each, using only samples of water from the stream? Here we suggest a method for doing just that.
Read more