Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4017-2016
https://doi.org/10.5194/hess-20-4017-2016
Research article
 | 
06 Oct 2016
Research article |  | 06 Oct 2016

Prediction of biopore- and matrix-dominated flow from X-ray CT-derived macropore network characteristics

Muhammad Naveed, Per Moldrup, Marcel G. Schaap, Markus Tuller, Ramaprasad Kulkarni, Hans-Jörg Vogel, and Lis Wollesen de Jonge

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (14 Feb 2016) by Alberto Guadagnini
AR by Svenja Lange on behalf of the Authors (25 Apr 2016)  Author's response
ED: Referee Nomination & Report Request started (03 May 2016) by Alberto Guadagnini
RR by Anonymous Referee #2 (03 Jun 2016)
RR by Anonymous Referee #4 (07 Jun 2016)
ED: Reconsider after major revisions (13 Jun 2016) by Alberto Guadagnini
AR by Muhammad Naveed on behalf of the Authors (25 Jul 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Jul 2016) by Alberto Guadagnini
RR by Anonymous Referee #4 (29 Aug 2016)
ED: Publish subject to minor revisions (Editor review) (31 Aug 2016) by Alberto Guadagnini
AR by Muhammad Naveed on behalf of the Authors (15 Sep 2016)  Author's response    Manuscript
ED: Publish as is (17 Sep 2016) by Alberto Guadagnini
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Short summary
Quantification of rapid flow of water and associated transport of contaminants through large soil pores generated by earthworms or decaying plant roots is of crucial importance for sustaining both soil and water quality. Advanced visualization and analysis techniques based on state-of-the-art X-ray computed tomography have been applied to 65 soil cores extracted from an agricultural field in Silstrup, Denmark, to improve models for the prediction of fast, preferential flow processes in soils.