Articles | Volume 27, issue 7
Research article
 | Highlight paper
17 Apr 2023
Research article | Highlight paper |  | 17 Apr 2023

Prediction of the absolute hydraulic conductivity function from soil water retention data

Andre Peters, Tobias L. Hohenbrink, Sascha C. Iden, Martinus Th. van Genuchten, and Wolfgang Durner


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-431', Gerrit H. de Rooij, 16 Jan 2023
    • AC1: 'Reply on RC1', Andre Peters, 02 Mar 2023
  • RC2: 'Comment on hess-2022-431', John R. Nimmo, 18 Feb 2023
    • AC2: 'Reply on RC2', Andre Peters, 02 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (further review by editor) (17 Mar 2023) by Erwin Zehe
AR by Andre Peters on behalf of the Authors (20 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Mar 2023) by Erwin Zehe
AR by Andre Peters on behalf of the Authors (21 Mar 2023)
Executive editor
The study proposes a new approach to characterize soil hydraulic functions. The novel approach strongly improves simulation results. This is a significant advancement of vadose zone hydrology.
Short summary
The soil hydraulic conductivity function is usually predicted from the water retention curve (WRC) with the requirement of at least one measured conductivity data point for scaling the function. We propose a new scheme of absolute hydraulic conductivity prediction from the WRC without the need of measured conductivity data. Testing the new prediction with independent data shows good results. This scheme can be used when insufficient or no conductivity data are available.