Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 1
Articles | Volume 26, issue 1
https://doi.org/10.5194/hess-26-1-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-26-1-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 1
Research article
 | 
03 Jan 2022
Research article |  | 03 Jan 2022

Synthesizing the impacts of baseflow contribution on concentration–discharge (C–Q) relationships across Australia using a Bayesian hierarchical model

Danlu Guo, Camille Minaudo, Anna Lintern, Ulrike Bende-Michl, Shuci Liu, Kefeng Zhang, and Clément Duvert

Viewed

Total article views: 2,502 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,866 587 49 2,502 219 26 34
  • HTML: 1,866
  • PDF: 587
  • XML: 49
  • Total: 2,502
  • Supplement: 219
  • BibTeX: 26
  • EndNote: 34
Views and downloads (calculated since 08 Jul 2021)
Cumulative views and downloads (calculated since 08 Jul 2021)

Viewed (geographical distribution)

Total article views: 2,502 (including HTML, PDF, and XML) Thereof 2,308 with geography defined and 194 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Sep 2023
Download
Short summary
We investigate the impact of baseflow contribution on concentration–flow (C–Q) relationships across the Australian continent. We developed a novel Bayesian hierarchical model for six water quality variables across 157 catchments that span five climate zones. For sediments and nutrients, the C–Q slope is generally steeper for catchments with a higher median and a greater variability of baseflow contribution, highlighting the key role of variable flow pathways in particulate and solute export.
Read more
Special issue
Frontiers in the application of Bayesian approaches in water...