摘要
通过对连续土壤切片CT图像的分析,定量获取了土壤孔隙的大小分布情况。在此基础上建立了基于土壤孔隙形态学特征的随机网络模型,在孔隙尺度模拟了土壤中的水分运动过程,并预测了近饱和土壤水分特征曲线。结果表明,通过选取合适的模型参数,基于土壤孔隙形态学特征建立的随机网络模型可以模拟出与土壤样本实测值非常接近的水分特征曲线,可以作为一种快速测量的方法。
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.
出处
《灌溉排水学报》
CSCD
北大核心
2009年第6期18-21,共4页
Journal of Irrigation and Drainage
基金
国家863计划课题(2006AA10Z208)
国家自然科学基金项目(40401027
40871105
40571069)
中国科学院南京土壤研究所知识创新工程领域前沿项目(ISSASIP0719)
