首页> 外文期刊>Geoderma: An International Journal of Soil Science >Assessing soil particle-size distribution on experimental plots with similar texture under different management systems using multifractal parameters.
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Assessing soil particle-size distribution on experimental plots with similar texture under different management systems using multifractal parameters.

机译:使用多重分形参数,评估在不同管理系统下具有相似质地的实验地块上的土壤粒径分布。

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Soil particle-size distribution (PSD) is a fundamental soil physical attribute with dominant influence on many other soil properties. Laser diffraction combined with multifractal analyses have proven to be useful to obtain precise information from PSDs. The aim of this work was to assess similitude or difference of PSDs sampled on plots of an experimental field and belonging to the same textural class using multifractal parameters. The field experiment consisted of two tillage treatments and two cropping systems. It was conducted following a randomized complete split-block design with four replications on a Humic Dystrudept. Tillage treatments were conventional tillage (CT) and no tillage (NT) while crop rotations were ryegrass-sorghum (RS) and ryegrass-corn (RC). Particle-size distribution analysis by the sieve-pipette and by laser diffraction corroborate that all the samples were assigned to the same textural class. Singularity spectra f( alpha ) and Renyi spectra, Dq, showed that multifractal distribution was a suitable model for PSDs obtained by laser diffraction. However, in the range of moments - 10 < q < 10, the r2 values for the linear fits leading to a Renyi spectrum, Dq, were higher than those for the singularity spectrum, suggesting the former was better defined than the latter. No significant differences in multifractal parameters were found between plots with contrasted crop rotation, RS and RC. In contrast, Holder exponent of order zero ( alpha 0) and several parameters derived from the left branch of both, the f( alpha ) and the Dq spectra, were significantly different between CT and NT treatments. No effects of mixing by cultivation were detected in our work, so that differences in PSDs between no-tilled and conventionally-tilled plots were simply attributed to patchiness and variation on the experimental field. Multifractal analysis of PSDs measured by laser diffraction provides further insight in verifying patterns of between plot soil texture variations (i.e. randomness or trends) in completely randomized block designs.Digital Object Identifier http://dx.doi.org/10.1016/j.geoderma.2010.02.002
机译:土壤粒径分布(PSD)是土壤的基本物理属性,对许多其他土壤属性具有主要影响。激光衍射结合多分形分析已被证明可用于从PSD获得精确信息。这项工作的目的是评估使用多重分形参数在实验场的样地上采样的,属于同一质地类别的PSD的相似性或差异。田间试验由两种耕作处理和两种耕作系统组成。它是根据Humic Dystrudept上的四次重复进行的随机完全拆分块设计进行的。耕作处理为常规耕作(CT)和无耕种(NT),而轮作则以黑麦草-高粱(RS)和黑麦草-玉米(RC)进行。通过筛移液管和激光衍射进行的粒度分布分析证实了所有样品均被归为同一质地类别。奇异光谱 f (alpha)和Renyi光谱 D q 表明,多重分形分布是用于通过激光衍射获得的PSD。但是,在矩量范围-10 i> q <10中,线性拟合的 r 2 值会导致Renyi光谱< i> D q 高于奇异谱,表明前者的定义要好于后者。在对比作物轮作,RS和RC的样地之间,在多重分形参数方面没有发现显着差异。相比之下,零阶Holder指数(alpha 0 )以及从两个左分支衍生的几个参数 f (alpha)和 D q 光谱在CT和NT处理之间存在显着差异。在我们的工作中,没有检测到耕作混合的影响,因此,未耕地和常规耕地之间的PSD差异仅归因于实验场的斑驳和变化。通过激光衍射测量的PSD的多重分形分析为进一步验证完全随机区组设计中样地土壤质地变化(即随机性或趋势)之间的模式提供了参考。数字对象标识符http://dx.doi.org/10.1016/j.geoderma .2010.02.002

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