首页|陕北黄土丘陵沟壑区土壤粒径分布分形特征

陕北黄土丘陵沟壑区土壤粒径分布分形特征

扫码查看
原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
将激光衍射技术和分形分析结合,多重分形分析应用多重分形参数R(e)nyi维数谱,研究土壤粒径分布(PSD)分形特征.结果表明:土壤PSD分形维数D在2.28～2.47之间,D与土壤黏粒含量线性相关.计算黏粒、粉粒和砂粒分形维数D黏粒、D粉粒和D砂粒,三者之间存在D黏粒<DD粉粒<D砂粒的关系,分别用D黏粒、DD粉粒和D砂粒计算分裂概率,发现小团粒具有较小的分裂概率.因此,分裂概率具有尺度依赖性,并随着土壤粒径的减小而降低.多重分形分析表明,由PSD获取的R(e)nyi维数谱为反S型递减函数,与理论的多重分形R(e)nyi维数谱相似,说明土壤PSD具有多重分形特征.
Fractal Characteristics of Soil Particle Size Distributions in Gully-Hilly Regions of the Loess Plateau, North of Shaanxi, China
Fractal analysis and laser diffractometry were combined to characterize the fractal of soil particle size distribution (PSD) through R(e)nyi dimension spectra in the multifractal system. The results indicated that the monofractal dimension of soil PSD in various land-uses ranged from 2.28 to 2.47 and had a significant linear regression with the content of soil clay. Dclay,Dwilt and Dann were calculated and they were in an order of Dclay<Dailt<Daand Probability of fragmentation were calculated using Dclay, Dailt and Daand, and smaller particles always had a lower probability of fragmentation with respect to larger particles.Therefore, it appears clearly that the probability of fragmentation is scale dependent and it decreases with the decrease of particle sizes. Multifractal analyses showed R(e)yi dimensions spectra generated by PSDs were similar to those obtained for theoretical multifractal properties and PSDs had multifractal properties.

Particle size distributionFractal dimensionFragmentation probabilityR(e)nyi dimensions spectraGully-hilly regions of the Lcess Platcau

董莉丽、郑粉莉

展开 >

陕西师范大学旅游与环境学院,西安,710062

咸阳师范学院资源环境与城市科学系,陕西咸阳,712000

西北农林科技大学资源与环境学院,陕西杨凌,712100

土壤粒径分布 分形维数 分裂概率 Rényi维数谱 黄土丘陵沟壑区

中国科学院西部行动计划项目(二期)项目西北农林科技大学创新团队建设计划项目拔尖人才计划项目

KZCX2-XB2-05-030114020201140102

2010

土壤
中国科学院南京土壤研究所

土壤

CSTPCDCSCD北大核心
影响因子：1.052
ISSN：0253-9829
年,卷(期)：2010.42(2)
  • 23
  • 8