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Approaches for estimating unsaturated soil hydraulic conductivities at various bulk densities with the extended Mualem-van Genuchten model

机译:用延长的Mualem-Van Genuchten模型估算不同散装密度的不饱和土水力传导的方法

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摘要

The Mualem-van Genuchten model has been widely used for estimating unsaturated soil hydraulic conductivity (K-u) from measured saturated hydraulic conductivity (K-s) and fitted water retention curve (WRC) parameters. Soil bulk density (p(b)) variations affect the accuracy of K-u estimates. In this study, we extend the Mualem-van Genuchten model to account for the p(b) effect with p(b)-related WRC and K-s models. We apply two functions (A and B) that relate the van Genuchten WRC model to p(b) and two models (1 and 2) that estimate K-s with various p(b). By combining the p(b)-related WRC functions and K-s models, we develop four integrated approaches (i.e., A1, A2, B1, and B2) for estimating K-u at various p(b). K-u measurements made on five soils with various textures and p(b) are used to evaluate the accuracy of the four approaches. The results show that all approaches produce reasonable K-u estimates, with average root mean square errors (RMSEs) less than 0.35 (expressed in dimensionless unit because logarithmic K-u values are used). Approach A2, with an average RMSE of 0.25, agrees better with K-u measurements than does Approach A1 that has an average RMSE of 0.28. This is because Model 2 accounts for the WRC shape effect near saturation. Approaches A1 and A2 give more accurate K-u estimates than do Approaches B1 and B2 which both have average RMSEs of 0.35, because Function A performs better in estimating WRCs than does Function B. The proposed approaches could be incorporated into simulation models for improved prediction of water, solute, and gas transport in soils.
机译:Mualem-Van Genuchten模型已广泛用于估计不饱和土水力电导率(K-U)从测得的饱和液压导电(K-S)和装配水保持曲线(WRC)参数。土壤堆积密度(P(b))变化会影响K-U估计的准确性。在这项研究中,我们扩展了Mualem-Van Genuchten模型,以占P(b)效应的p(b) - 相关的WRC和K-S型号。我们应用两个功能(A和B),将Van Genuchten WRC模型与P(b)和两个型号(1和2)相关,这些模型(1和2)估计K-s,具有各种p(b)。通过组合P(B)的Reled WRC功能和K-S模型,我们开发四种集成方法(即,A1,A2,B1和B2),用于估计k-u(b)。在五种土壤中进行的K-U测量用于各种纹理和P(B)来评估四种方法的准确性。结果表明,所有方法都会产生合理的K-U估计,平均根均方误差(RMSE)小于0.35(以无量纲单位表示,因为使用了对数k-U值)。接近A2,平均RMSE为0.25,与K-U测量相一致,比接近A1的平均RMSE为0.28。这是因为模型2占WRC形状效应靠近饱和度。接近A1和A2提供比接近B1和B2的更精确的KU估计,所述B1和B2都具有0.35的平均RMS,因为函数A在估计WRC时比功能B更好地执行。所提出的方法可以纳入仿真模型,以改善水的预测,溶质和土壤中的气体运输。

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