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针对双峰土壤推导的土壤水力函数的经验模型、半经验模型和基于物理的模型的比较。

Comparison of empirical, semi-empirical and physically based models of soil hydraulic functions derived for bi-modal soils.

作者信息

Kutílek M, Jendele L, Krejca M

出版信息

J Contam Hydrol. 2009 Feb 16;104(1-4):84-9. doi: 10.1016/j.jconhyd.2008.10.007. Epub 2008 Nov 5.

Abstract

The accelerated flow in soil pores is responsible for a rapid transport of pollutants from the soil surface to deeper layers up to groundwater. The term preferential flow is used for this type of transport. Our study was aimed at the preferential flow realized in the structural porous domain in bi-modal soils. We compared equations describing the soil water retention function h(theta) and unsaturated hydraulic conductivity K(h), eventually K(theta) modified for bi-modal soils, where theta is the soil water content and h is the pressure head. The analytical description of a curve passing experimental data sets of the soil hydraulic function is typical for the empirical equation characterized by fitting parameters only. If the measured data are described by the equation derived by the physical model without using fitting parameters, we speak about a physically based model. There exist several transitional subtypes between empirical and physically based models. They are denoted as semi-empirical, or semi-physical. We tested 3 models of soil water retention function and 3 models of unsaturated conductivity using experimental data sets of sand, silt, silt loam and loam. All used soils are typical by their bi-modality of the soil porous system. The model efficiency was estimated by RMSE (Root mean square error) and by RSE (Relative square error). The semi-empirical equation of the soil water retention function had the lowest values of RMSE and RSE and was qualified as "optimal" for the formal description of the shape of the water retention function. With this equation, the fit of the modelled data to experiments was the closest one. The fitting parameters smoothed the difference between the model and the physical reality of the soil porous media. The physical equation based upon the model of the pore size distribution did not allow exact fitting of the modelled data to the experimental data due to the rigidity and simplicity of the physical model when compared to the real soil porous system. On the other hand, the "optimal" unsaturated conductivity equation was obtained for a model based on the pore size distribution where the additional fitting parameters allowed a good agreement between the model and the reality of the measured data. We denoted this equation as semi-physical.

摘要

土壤孔隙中的加速水流导致污染物从土壤表面快速传输至更深层直至地下水。这种传输类型被称为优先流。我们的研究旨在探讨双峰土壤结构多孔域中实现的优先流。我们比较了描述土壤水分保持函数h(θ)和非饱和导水率K(h)(最终是针对双峰土壤修正的K(θ))的方程,其中θ为土壤含水量,h为压力水头。通过拟合参数来表征的经验方程的典型特征是对通过土壤水力函数实验数据集的曲线进行解析描述。如果测量数据由物理模型推导的方程描述而不使用拟合参数,我们就称其为基于物理的模型。在经验模型和基于物理的模型之间存在几种过渡子类型。它们被称为半经验或半物理模型。我们使用砂土、粉土、粉壤土和壤土的实验数据集测试了3种土壤水分保持函数模型和3种非饱和导水率模型。所有使用的土壤因其土壤孔隙系统的双峰性而具有典型性。模型效率通过均方根误差(RMSE)和相对平方误差(RSE)进行评估。土壤水分保持函数的半经验方程具有最低的RMSE和RSE值,并且被认定为对水分保持函数形状进行形式化描述的“最优”方程。使用该方程时,模拟数据与实验的拟合最为接近。拟合参数平滑了模型与土壤多孔介质物理现实之间的差异。基于孔径分布模型的物理方程由于与实际土壤多孔系统相比物理模型的刚性和简单性,不允许模拟数据与实验数据进行精确拟合。另一方面,基于孔径分布的模型获得了“最优”的非饱和导水率方程,其中额外拟合参数使得模型与测量数据的实际情况达成了良好的一致性。我们将该方程称为半物理方程。

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