基于分形理论的土壤粗糙指数与孔隙率映射规律研究
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金资助项目(30871454、30671715);中德科学中心资助中德联合研究小组项目(GZ494);中国农业大学基本科研业务专项资金资助项目(15059201)


Relationship between Soil Surface Porosity and Roughness Indices Based on Fractal Theory
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为建立土壤表层孔隙率与表面粗糙程度之间的关系,提出了一种采用立体表面积对土壤表面粗糙性状进行覆盖的分形分析方法。该方法结合地面激光扫描仪快速测得的地表原始不平度数据,可直接测定出土壤表面分维值D∈[2,3)。为进一步探讨地表粗糙的细节信息,将立体表面积法引入到多重分形分析中,计算了各多重分形的谱参数。分析结果表明,单一分形维数Dl、Dr,多重分形谱参数α|fmax、Δα均能够有效地反映地表粗糙程度,在忽略耕作方式影响的前提下,α|fmax与表层土壤孔隙率的线性相关性最高(R2=0.7014)。因此利用土壤表层粗糙程度的分形参数进行土壤表层孔隙率的预测是可行的。

    Abstract:

    With the aim to establish the relationship between soil surface porosity and surface roughness,a fractal analysis procedure based on 3-D surface area calculation was proposed, which applied a surface unit to cover the soil roughness characteristics. Using the soil surface unevenness data measured by a laser profiler, the method could derive the fractal dimension of soil surface directly (D∈[ 2,3)). Furthermore, 3-D surface area method was also introduced into multi-fractal spectrum analysis for investigating fine scale information. The statistical analysis demonstrates that fractal dimension Dl, Dr, and multi-fractal parameters α|fmax, Δα can reflect the change process of soil surface roughness effectively regardless the influence of different tillage types. In this case, α|fmax fitted a linear relation to porosity with the value of R2= 0.7014, which showed potential to be a meaningful indictor for surface porosity estimation.

    参考文献
    相似文献
    引证文献
引用本文

王聪颖,张慧娟,孙宇瑞,林剑辉.基于分形理论的土壤粗糙指数与孔隙率映射规律研究[J].农业机械学报,2011,42(11):32-38.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期:
  • 出版日期: