Prediction of Near Saturated Soil Water Retention Curve Using CT Images and Random Network Model
LV Fei
LIU Jian-li
ZHANG Jia-bao
ZHANG Jun-hua
LI Hui-xia
Abstract：In this paper,digital images of sequential soil sections were obtained by computerized tomography (CT) and pore-size distribution were determined by digital image analysis.A spatially-random network model by using measured pore morphology was then set up to simulate the pore scale flow processes,and to predict the soil water retention curve near saturation.Results indicate that,to adjust the parameters,the random network model can agree well with water retention curve measured on laboratory samples,this method can be used as a fast detection.
Keywords：CTimage analysisrandom network modelsoil water retention curve
Publication Date：2009-01-01
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：4( 18-21 )