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首页> 外文期刊>European Journal of Soil Science >Estimation of soil water retention function based on asymmetry between particle- and pore-size distributions.
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Estimation of soil water retention function based on asymmetry between particle- and pore-size distributions.

机译:基于颗粒和孔径分布之间的不对称性估算土壤保水功能。

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By examining the symmetry between the distributions of particle-size (PSD) and pore-size (POD) in a soil, as hypothesized by early pore-solid fractal (PSF) models, we found significant discrepancies in fractal dimensions between the PSD and the water retention curve (WRC) of a soil. Therefore, we developed an asymmetry-based PSF model to estimate better the WRC directly from the PSD data of a soil. To do so, we adopted the concept of a microscopic arrangement of different-sized particles to address such asymmetry, and evaluated the performance of the modified PSF model on five soil textural classes (coarse-, moderately coarse-, medium-, moderately fine- and fine-textured soils) using experimental PSD and WRC data from the UNSODA database (159 undisturbed soils for model calibration and 70 undisturbed soils for model validation). The fit of the symmetry-based PSF model to the calibration dataset showed that the fractal dimension of the WRC (Dp) was slightly larger than that of cumulative mass distribution of particles (Ds) for most soils. The asymmetry-based PSF model performed better than the symmetry-based PSF model. In addition, the asymmetry-based PSF model reduced the tendency to under estimate soil water content for a given matric head and the performance of the asymmetry-based model was consistent irrespective of soil texture, indicating that the adoption of asymmetry between the PSD and the POD was adequate in predicting the WRC of a porous, particulate system such as soil.Digital Object Identifier http://dx.doi.org/10.1111/j.1365-2389.2010.01347.x
机译:通过检查土壤中粒径(PSD)和孔径(POD)的分布之间的对称性(如早期的孔固分形(PSF)模型所假设的),我们发现PSD与颗粒之间的分形维数存在显着差异土壤的保水曲线(WRC)。因此,我们开发了一种基于不对称性的PSF模型,可以直接根据土壤的PSD数据更好地估算WRC。为此,我们采用了微细颗粒大小的微观排列的概念来解决这种不对称问题,并在五种土壤质地类别(粗,中,粗,中,中,细,和质地细密的土壤),使用UNSODA数据库中的PSD和WRC实验数据(用于模型校准的159种未扰动土壤和用于模型验证的70种未扰动土壤)。基于对称性的PSF模型与校准数据集的拟合表明,WRC的分形维数( D p )略大于颗粒的累积质量分布。 ( D s )对于大多数土壤。基于不对称的PSF模型的性能优于基于对称的PSF模型。此外,基于不对称性的PSF模型减少了给定矩阵头土壤水分含量估计不足的趋势,并且基于不对称性的模型的性能与土壤质地无关,这表明PSD和土壤之间采用了不对称性。 POD足以预测多孔的颗粒系统(例如土壤)的WRC。数字对象标识符http://dx.doi.org/10.1111/j.1365-2389.2010.01347.x

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