Articles | Volume 22, issue 9
Hydrol. Earth Syst. Sci., 22, 4621–4632, 2018
https://doi.org/10.5194/hess-22-4621-2018
Hydrol. Earth Syst. Sci., 22, 4621–4632, 2018
https://doi.org/10.5194/hess-22-4621-2018

Research article 04 Sep 2018

Research article | 04 Sep 2018

Predicting the soil water retention curve from the particle size distribution based on a pore space geometry containing slit-shaped spaces

Chen-Chao Chang and Dong-Hui Cheng

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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 (further review by editor and referees) (08 May 2018) by Roberto Greco
AR by Donghui Cheng on behalf of the Authors (27 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Jun 2018) by Roberto Greco
RR by Fatemeh Meskini-Vishkaee (01 Jul 2018)
RR by Anonymous Referee #2 (02 Jul 2018)
ED: Publish subject to minor revisions (review by editor) (10 Jul 2018) by Roberto Greco
AR by Donghui Cheng on behalf of the Authors (27 Jul 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (08 Aug 2018) by Roberto Greco
AR by Donghui Cheng on behalf of the Authors (12 Aug 2018)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Donghui Cheng on behalf of the Authors (27 Aug 2018)   Author's adjustment   Manuscript
EA: Adjustments approved (02 Sep 2018) by Roberto Greco
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Short summary
The soil water retention curve (SWRC) is fundamental to researching water flow and chemical transport in unsaturated media. However, the traditional prediction models underestimate the water content in the dry range of the SWRC. A method was therefore proposed to improve the estimation of the SWRC using a pore model containing slit-shaped spaces. The results show that the predicted SWRCs using the improved method reasonably approximated the measured SWRCs.