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基于CT图像的土壤孔隙结构三维重建及水力学性质预测
引用本文:程亚南,刘建立,吕 菲,张佳宝.基于CT图像的土壤孔隙结构三维重建及水力学性质预测[J].农业工程学报,2012,28(22):115-122.
作者姓名:程亚南  刘建立  吕 菲  张佳宝
作者单位:1. 中国科学院南京土壤研究所,南京 210008
2. 中国科学院大学,北京 100049
基金项目:国家自然科学基金项目(41001127);国家自然科学基金项目(40871105);973计划课题(2011CB100506)
摘    要:为了更好地了解土壤孔隙结构对水分运动过程的影响机制,该文利用黄淮海平原原状潮土CT扫描图像,通过数字图像分析和计算机重建技术对孔隙结构进行三维重建,根据图像分析获得的孔隙大小分布和连通性等形态学参数建立了用于描述孔隙尺度结构特征对水分运动影响机制的网络模型,据此预测了样本尺度(样本体积为385.84cm3)的土壤水力学性质。结果表明,模型预测的水力学性质和实测值基本吻合,变化趋势基本一致,二者的决定系数达0.94以上。结果表明相关网络模型可以较好地模拟孔隙尺度的水分运动过程,可用于预测土壤的非饱和水力学性质。

关 键 词:土壤  核磁共振  水力学  CT  孔隙结构  三维重建
收稿时间:2012/1/10 0:00:00
修稿时间:2012/9/12 0:00:00

Three-dimensional reconstruction of soil pore structure and prediction of soil hydraulic properties based on CT images
Cheng Ya′nan,Liu Jianli,Lü Fei,Zhang Jiabao.Three-dimensional reconstruction of soil pore structure and prediction of soil hydraulic properties based on CT images[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(22):115-122.
Authors:Cheng Ya′nan  Liu Jianli  Lü Fei  Zhang Jiabao
Institution:1 (1. Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China)
Abstract:In order to better understand the effects of soil pore structure on water movement, the three-dimensional structure of soil pore was constructed using CT images of fluvor-aquic soil in Huang-Huai-Hai Plain. Pore size distribution and connectivity parameters were determined by digital image analysis. A spatially-correlated network model was set up to describe the effects of pore-scale structure on water flow in soils, and predict the hydraulic properties of soil samples. The results showed that the predicted hydraulic properties agreed well with the measured values and the correlation coefficients were above 0.94. It indicated that correlated network model could simulate pore-scale water movement process, which provides reference for predicting the unsaturated hydraulic properties of soil.
Keywords:soils  nuclear magnetic resonance  hydraulics  computed tomography  pore structure  three-dimensional reconstruction
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