Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4621-2018
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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Latest update: 28 Mar 2024
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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.