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Applying Pedo-transfer Functions to Simulate Spatial Heterogeneity of Cinnamon Soil Water Retention Characteristics in Western Liaoning Province

机译:应用Pedo传递函数模拟辽西肉桂土壤水分保持特征的空间异质性

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摘要

In this study, by measuring soil water retention characteristics and fitting them to van Genuchten Equation, three types of pedo-transfer functions (PTFs) were estimated using linear regression (MLR3) and nonlinear regression (ENR3) based on three textural classifications, and using linear regression (MLR7) based on seven textural classification. And their abilities to quantify soil water retention characteristics and spatial heterogeneity in field scale were evaluated as well. By comparisons between fitted and PTFs-estimated parameters, the parameters from MLR7 and ENR3 were closer to fitted values than ones from MLR3. The results showed that some complex mathematical approaches such as nonlinear regression, and detailed soil classification may obtain more accurate PTFs. The analysis on spatial heterogeneity of retention characteristics using geostatistics indicated that PTFs-estimated parameters' semivariances were fitted a spherical model. Great autocorrelation range and proportion of structural variance for MLR3 and MLR7 shows linear regression could express suitably the spatial heterogeneity, but detailed soil textual classification didn't improve structure of variability.
机译:在这项研究中,通过测量土壤保水特性并将其拟合到van Genuchten方程,使用线性回归(MLR3)和非线性回归(ENR3)基于三种质地分类,并使用三种方法估算了三种类型的踏板传递函数(PTF)。基于七个纹理分类的线性回归(MLR7)。并评估了它们在田间尺度上量化土壤保水特征和空间异质性的能力。通过拟合参数和PTFs估计参数之间的比较,来自MLR7和ENR3的参数比来自MLR3的参数更接近拟合值。结果表明,一些复杂的数学方法(例如非线性回归和详细的土壤分类)可以获得更准确的PTF。利用地统计学分析保留特征的空间异质性表明,PTF估计参数的半方差拟合为球形模型。 MLR3和MLR7的较大的自相关范围和结构变异的比例表明线性回归可以适当地表达空间异质性,但是详细的土壤文本分类并不能改善变异性结构。

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