Estimating soil water retention characteristics from particle size distribution, organic matter percent, and bulk density

1979 ◽  
Vol 15 (6) ◽  
pp. 1633-1635 ◽  
Author(s):  
S. C. Gupta ◽  
W. E. Larson
2014 ◽  
Vol 177 (5) ◽  
pp. 803-813 ◽  
Author(s):  
Krzysztof Lamorski ◽  
Andrzej Bieganowski ◽  
Magdalena Ryżak ◽  
Agata Sochan ◽  
Cezary Sławiński ◽  
...  

Soil Science ◽  
2012 ◽  
Vol 177 (5) ◽  
pp. 321-326 ◽  
Author(s):  
Behzad Ghanbarian-Alavijeh ◽  
Allen G. Hunt

Soil Science ◽  
1996 ◽  
Vol 161 (12) ◽  
pp. 832-845 ◽  
Author(s):  
Kálmán Rajkai ◽  
Sándor Kabos ◽  
M. Th. Van Genuchten ◽  
Per-Erik Jansson

2009 ◽  
Vol 374 (3-4) ◽  
pp. 223-234 ◽  
Author(s):  
Paolo Nasta ◽  
Tamir Kamai ◽  
Giovanni B. Chirico ◽  
Jan W. Hopmans ◽  
Nunzio Romano

2018 ◽  
Vol 22 (9) ◽  
pp. 4621-4632
Author(s):  
Chen-Chao Chang ◽  
Dong-Hui Cheng

Abstract. 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.


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