中国农业科学Issue(13)：2591-2601,11.DOI:10.3864/j.issn.0578-1752.2014.13.011
基于分形理论和地质统计学的表层土壤颗粒大小分布变化特征
Characterizing Variation of Topsoil Particle Size Distribution Based on Fractal Theory and Geostatistics
摘要
Abstract
Objective This study aimed to explore the methodology which can help fully reveal the characteristics of soil particle size distribution (PSD) on multi-angle and multi-scale, and to find more simple and comprehensive means of quantitative analysis and evaluation of soil quality and its evolution. [Method] The study calculated the volume fractal dimension (Dv) and analyzed the variation characteristics of soil particle size distribution based on fractal theory, traditional statistics, separated soil particles Dv log-log graph and geostatistics from point and regional scale.[Result]Cumulative volume percentage of soil particles with diameter<10 μm showed a significant positive correlation with Dv while that of soil particles with diameter>50 μm was negatively related to Dv. The smaller soil particles Dv was, the coarser soil texture was. The end portions of log-log scatter plot for the maximum and minimum Dv bent downward with the fitting straight lines close to major changes, the value of R2 are above 0.9, and the fitting results are ideal. The separation of Dv contained the entire soil particle size distribution (PSD) of the degree of change. There were some differences of soil particles Dv between different groups of soil organic matter content, and soil particles Dv was able to objectively characterize the changes of soil quality of a farmland. With elevation increasing, the performance of soil particles Dv was relatively complex. The mean value of soil particles Dv for cinnamon soil was maximum, mean was minimum for fluvo-aquic soil. The results of variance analysis showed that the difference in Dv values between grain field, garden land and vegetable land was not obvious. Prediction results with regression kriging were more accurate based on the analysis results about the relationship between soil particle Dv and environmental variables. Spatial distribution pattern of the regional and sampling Dv was consistent, and objectively reflected the variation characteristics of PSD. [Conclusion] Methodology established in the study can reflect the characteristics of PSD from multi-angle and multi-scale. The study results matched the actuality, and soil particles Dv can be used as a means to characterize and evaluate the soil quality and its changing process.关键词
体积分形维数/分形理论/土壤颗粒大小分布/地质统计学Key words
fractal dimensions/fractal theory/soil particle size distribution/geostatistics引用本文复制引用
张世文,张立平,袁君,沈重阳,陈孝杨,叶回春,黄元仿..基于分形理论和地质统计学的表层土壤颗粒大小分布变化特征[J].中国农业科学,2014,(13):2591-2601,11.基金项目
国家公益性行业（农业）科研专项（201103005-01-01）、农业部科研杰出人才及创新团队资助项目（2012）、安徽理工大学青年教师科学研究基金 （）
