摘要
以土壤团聚体、土壤裂隙以及土壤优先流特征数码图像为研究对象,介绍了ImageJ软件在土壤结构特征分析中的应用。研究结果表明:①马尾松林地表层土壤团聚体圆度大于母质层土壤颗粒的圆度;②运用图像测量方法能够快速地测定土壤裂隙几何特征以及土壤收缩曲线;③土壤优先流示踪图像分析结果显示红壤性水稻土犁底层具有显著的防渗功能,而同一土壤剖面内土壤连通性孔隙存在较大的空间分异。最后,本文还对以上研究结果和图像分析方法进行了探讨。
Based on the digital images of soil aggregates, soil cracks and soil preferential flow patterns in the paddy field, the Image J software was introduced and applied in analyzing soil structural properties in the study. The results indicated that （1） the circularity of soil aggregates in the surface horizon was higher than that of soil clods in the parent material horizon in Pinus massoniana woodland, （2） it is possible to quantify the morphological properties of soil cracks and soil shrinkage curve efficiently through image analysis, （3） dye tracing images in paddy field showed that plough-pan prevented soil preferential flow significantly, moreover, soil pore connectivity varied significantly in the same soil profile. At last the results and the methods of image analysis were discussed also in the paper.
出处
《土壤》
CAS
CSCD
北大核心
2009年第4期654-658,共5页
Soils
