Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 14
Articles | Volume 26, issue 14
https://doi.org/10.5194/hess-26-3805-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-3805-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 14
Research article
 | 
19 Jul 2022
Research article |  | 19 Jul 2022

On the similarity of hillslope hydrologic function: a clustering approach based on groundwater changes

Fadji Z. Maina, Haruko M. Wainwright, Peter James Dennedy-Frank, and Erica R. Siirila-Woodburn

Viewed

Total article views: 2,110 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,541 510 59 2,110 40 38
  • HTML: 1,541
  • PDF: 510
  • XML: 59
  • Total: 2,110
  • BibTeX: 40
  • EndNote: 38
Views and downloads (calculated since 26 Oct 2021)
Cumulative views and downloads (calculated since 26 Oct 2021)

Viewed (geographical distribution)

Total article views: 2,110 (including HTML, PDF, and XML) Thereof 2,006 with geography defined and 104 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Nov 2024
Download
Short summary
We propose a hillslope clustering approach based on the seasonal changes in groundwater levels and test its performance by comparing it to several common clustering approaches (aridity index, topographic wetness index, elevation, land cover, and machine-learning clustering). The proposed approach is robust as it reasonably categorizes hillslopes with similar elevation, land cover, hydroclimate, land surface processes, and subsurface hydrodynamics, hence a similar hydrologic function.
Read more