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

• Published in: Hydrology and earth system sciences 2018-09, Vol.22 (9), p.4621-4632
• Main Authors: Chang, Chen-Chao, Cheng, Dong-Hui
• Format: Article
• Language: English
• Subjects: Analysis; Mathematical models; Methods; Moisture content; Particle size; Particle size distribution; Physical properties; Pore size; Pore size distribution; Porosity; Retention; Scaling; Size distribution; Soil; Soil moisture; Soil properties; Soil research; Soil structure; Soil suction; Soil water; Unsaturated soils; Water content
• ISSN: 1607-7938; 1027-5606; 1607-7938
• DOI: 10.5194/hess-22-4621-2018

Traditional models employed to predict the soil water retention curve (SWRC) from the particle size distribution (PSD) always underestimate the water content in the dry range of the SWRC. Using the measured physical parameters of 48 soil samples from the UNSODA unsaturated soil hydraulic property database, these errors were proven to originate from an inaccurate estimation of the pore size distribution. A method was therefore proposed to improve the estimation of the water content at high suction heads using a pore model comprising a circle-shaped central pore connected to slit-shaped spaces. In this model, the pore volume fraction of the minimum pore diameter range and the corresponding water content were accordingly increased. The predicted SWRCs using the improved method reasonably approximated the measured SWRCs, which were more accurate than those obtained using the traditional method and the scaling approach in the dry range of the SWRC.