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首页> 外文期刊>Soil Science >Presence and prediction of fractal behavior in particle-size distributions as affected by the sample pretreatment and soil properties.
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Presence and prediction of fractal behavior in particle-size distributions as affected by the sample pretreatment and soil properties.

机译:分形行为的存在和预测,受样品预处理和土壤性质的影响。

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摘要

The fragmentation fractal dimension has been used to characterize soil particle and aggregate-size distributions. Deviations from strict self-similarity were often reported. In particle-size distribution determination, different dispersion and pretreatment methods can create different fragmentation. The objectives of this work were (i) to investigate fractal behavior of soil as influenced by the presence of the fragmentation-enhancing pretreatment before particle-size distribution determination and (ii) to predict the presence/absence of the fractal behavior from soil chemical and physical properties by applying discriminant analysis and classification trees and comparing the efficiency of the two methods. Paired particle-size distribution determinations with and without removal of organic and inorganic binding agents were conducted for 85 samples of soils from various genetic and textural classes found in southern Italy. A total of 20 chemical and physical properties of soil were measured in the same samples. Discriminant analysis and classification trees were applied to predict the presence or absence of the fractal scaling in particle-size distribution from soil basic properties. Only 31 samples displayed strict fractal behavior after pretreatment, whereas 44 did when the aggregating agents were not removed. Classification trees rendered better prediction of the presence of the strict fractal behavior of soil particle-size distributions for each of the determination methods when compared with the discriminant analysis. The presence of the strict fractal behavior was primarily defined by fine silt content and influenced by contents of coarse silt, coarse sand, and exchangeable calcium content..
机译:碎片的分形维数已用于表征土壤颗粒和聚集体的大小分布。经常报道与严格的自我相似性存在偏差。在粒度分布测定中,不同的分散和预处理方法会产生不同的碎片。这项工作的目的是(i)在确定粒度分布之前,研究受碎片增强预处理的存在影响的土壤分形行为,以及(ii)从土壤化学和化学性质预测分形行为的存在/不存在。通过应用判别分析树和分类树并比较两种方法的效率来获得物理特性。对意大利南部发现的各种遗传和质地类别的85种土壤样品进行了成对的粒径分布测定,有无有机和无机结合剂。在同一样品中总共测量了20种土壤的化学和物理性质。判别分析和分类树用于根据土壤的基本特性预测粒度分布中分形结垢的存在与否。预处理后,只有31个样品显示出严格的分形行为,而没有去除聚集剂时,则显示了44个。与判别分析相比,分类树可以更好地预测每种测定方法对土壤粒度分布的严格分形行为的影响。严格的分形行为的存在主要由细粉砂含量决定,并受粗粉砂,粗砂和可交换钙含量的影响。

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