| 利用随机网络模型和CT数字图像预测近饱和土壤水分特征曲线 |
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| 引用本文： | 吕菲,刘建立,张佳宝,张均华,李慧霞.利用随机网络模型和CT数字图像预测近饱和土壤水分特征曲线[J].灌溉排水学报,2009(6). |
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| 作者姓名： | 吕菲 刘建立 张佳宝 张均华 李慧霞 |
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| 作者单位： | 中国科学院研究生院;中国科学院南京土壤研究所; |
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| 基金项目： | 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) |
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| 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。
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| 关 键 词： | CT 图像分析 随机网络模型 土壤水分特征曲线 |
Prediction of Near Saturated Soil Water Retention Curve Using CT Images and Random Network Model |
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| LV Fei,LIU Jian-li,ZHANG Jia-bao,ZHANG Jun-hua,LI Hui-xia.Prediction of Near Saturated Soil Water Retention Curve Using CT Images and Random Network Model[J].Journal of Irrigation and Drainage,2009(6). |
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| Authors: | LV Fei LIU Jian-li ZHANG Jia-bao ZHANG Jun-hua LI Hui-xia |
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| Institution: | LV Fei1,2,LIU Jian-li2,ZHANG Jia-bao2,ZHANG Jun-hua1,LI Hui-xia1,2 (1.Graduate University of Chinese Academy of Sciences,Beijing 100049,China 2.Institute of Soil Science,Chinese Academy of Sciences,Nanjing 210008,China) |
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| 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 meth... |
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| Keywords: | CT image analysis random network model soil water retention curve |
| 本文献已被 CNKI 等数据库收录！ |
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