| 利用CT数字图像和网络模型预测近饱和土壤水力学性质 |
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| 引用本文： | 吕 菲,刘建立,何 娟.利用CT数字图像和网络模型预测近饱和土壤水力学性质[J].农业工程学报,2008,24(5):10-14. |
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| 作者姓名： | 吕 菲 刘建立 何 娟 |
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| 作者单位： | 中国科学院南京土壤研究所,南京,210008 |
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| 基金项目： | 国家自然科学基金
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国家高技术研究发展计划(863计划)
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南京土壤所知识创新工程领域前沿项目 |
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| 摘 要： | 在近饱和状态下,土壤的有效水力学性质主要取决于较大孔隙的结构特征,而这又决定了土壤中的优势流通道以及溶质的运移.基于孔隙形态学特征的网络模型可以很好的表现出较大孔隙的几何形态与拓扑特征对有效水力学性质的影响.本文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以及连通性参数.在此基础上建立了相关网络模型,在孔隙尺度上模拟了土壤中的水分运动过程并预测了近饱和土壤水力学性质.实验结果表明,虽然随机网络模型对室内填装土样本水力学性质的预测结果要优于相关网络模型,但是结合了实测孔隙形态特征的相关网络模型能够表现出田间原状土样本的双重孔隙度结构,其预测结果更符合实际的土壤结构特征.
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| 关 键 词： | CT 图像分析 网络模型 土壤水力学性质 |
| 收稿时间： | 2/8/2007 12:00:00 AM |
| 修稿时间： | 2007/9/10 0:00:00 |
Prediction of near saturated soil hydraulic properties by using CT images and network model |
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| Lu Fei,Liu Jianli,He Juan.Prediction of near saturated soil hydraulic properties by using CT images and network model[J].Transactions of the Chinese Society of Agricultural Engineering,2008,24(5):10-14. |
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| Authors: | Lu Fei Liu Jianli He Juan |
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| Abstract: | Near-saturated soil hydraulic properties mainly depend on the presence of structural macropores, which in turn, determine the preferential pathways of water flow and solute flux in soil. To characterize the effect of macropore geometry and topology on effective hydraulic properties, a pore-scale network model was constructed by using measured pore morphology. Digital images of sequential soil sections were obtained by computerized tomography (CT) and pore-size distribution and connectivity parameters were determined by digital image analysis. A spatially-correlated network model was then set up to simulate the pore scale water retention and flow processes, and to predict the hydraulic properties near saturation. Result indicate that, although random network agrees well with hydraulic properties measured on laboratory repacked samples, the dual-porosity nature of undisturbed soil can only be realistically reproduced by the correlated network. |
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| Keywords: | CT image analysis network model soil hydraulic properties |
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