摘要
孔隙轮廓线分形维数是用来描述孔隙本身所具有的分形特征,它反映了土壤孔隙与固体颗粒接触界限的不规则性。该文采用数字图像处理技术研究了中国科学院封丘农业生态实验站内3种不同质地土壤样本图像的孔隙轮廓线分形特征。结果表明:土壤孔隙轮廓线分形特征与土壤质地之间存在着一定的相关关系,即土壤质地越细(黏粒含量越高)分形维数取值越大。同时,根据这3种土壤的孔隙轮廓线分形维数,结合不同分形方法分别预测了它们的水分特征曲线,并与实测的土壤水分特征曲线进行了比较。
The pore profile fractal dimension depicts tractat geometry characteristics of soil pores,which reflects the irregular and rugged boundaries between soil pores and particles. Using digital images processing technique,the authors investigated pore profile fractal characteristics of digital images of three different types of soil, which were collected from the Fengqiu Ecology-Agro Station of the Chinese Academy of Sciences. The results showed that the obvious correlativity existed between fractal properties and soil texture. The soil texture was finer （clay content is higher）, the value of fractal dimension was higher. Then, based on the pore profile fractal dimensions,different fractal methods were applied to ascertain water retention characteristics, and the comparisons with measured data were conducted.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2005年第7期6-10,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金课题(No.49971041
No.40271059)资助
关键词
土壤
图像处理
孔隙轮廓线
分形维数
分形模型
水分特征曲线
soil
digital image processing
pore profile
fractal dimension
fractal models
water retention characteristics
