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预测土壤水力性质的形态学网络模型应用研究
引用本文:刘建立,徐绍辉,刘慧,郭飞.预测土壤水力性质的形态学网络模型应用研究[J].土壤学报,2004,41(2):218-224.
作者姓名:刘建立  徐绍辉  刘慧  郭飞
作者单位:1. 中国科学院南京土壤研究所,南京,210008
2. 南京大学地球科学系,南京,210093
基金项目:国家自然科学基金课题(No.49971041)和国家重点基础研究发展规划项目(G1999011803)资助
摘    要:土壤水力性质是研究非饱和带中水分和溶质运移的重要参数 ,可以用孔隙网络模型进行预测。通常采用的网络模型中的参数是任意指定的 ,无法真实反映土壤孔隙空间的形态特征。本文采用了一种基于孔隙形态学的网络模型来预测土壤的水力性质 ,即通过图像分析来直接测定孔隙的大小分布及其连通性 ,并将其结合到网络模型中 ,最大程度地再现了三维的土壤孔隙结构。本文根据河南封丘地区采集的砂壤土样本图像分析结果 ,采用形态学网络模型预测了其水力性质 ,同时也进一步评价了这种模型的优缺点及其应用前景。

关 键 词:土壤水力性质  网络模型  形态学  图像分析
收稿时间:2003/1/20 0:00:00
修稿时间:7/7/2003 12:00:00 AM

DETERMINATION OF SOIL HYDRAULIC PROPERTIES USING A MORPHOLOGY-BASED PORE SCALE NETWORK MODEL
Liu Jianli,Xu Shaohui,Liu Hui and Guo Fei.DETERMINATION OF SOIL HYDRAULIC PROPERTIES USING A MORPHOLOGY-BASED PORE SCALE NETWORK MODEL[J].Acta Pedologica Sinica,2004,41(2):218-224.
Authors:Liu Jianli  Xu Shaohui  Liu Hui and Guo Fei
Affiliation:Liu Jianli 1 Xu Shaohui 1 Liu Hui 2 Guo Fei 2
Abstract:Soil hydraulic properties are the key information required in quantitatively modeling water flow and solute transport in the vadose zone, which can be predicted using pore scale network models. However, some important parameters in network model, e.g., pore size distribution and pore geometry, are often assigned arbitrarily. Thus, the resulted network model cannot fully reflect the pore structure within a real soil. In the present study, a morphologically based network model is employed to more accurately characterize the pore structure, which provides the physical basis for predicting soil hydraulic properties. The pore size distribution and pore connectivity are directly measured on digital images of sequential sample sections based on mathematical morphology technique, and then integrated into the construction of network model. In theory, the morphologically based network model resembles the measured characteristics of pore structure, and should produce much better results for soil hydraulic properties. The advantages and disadvantages are then analyzed through a case study with samples collected at Fengqiu Experimental Station, Chinese Academy of Sciences.
Keywords:Soil hydraulic properties  Network model  Morphology  Image analysis  
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