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The use of electrical conductivity measurements in the prediction of hydraulic conductivity of unsaturated soils

机译:电导率测量在非饱和土水导率预测中的应用

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摘要

Statistical models have been widely used in soil science, hydrogeology and geotechnical engineering to predict the hydraulic conductivity of unsaturated soils. However, no effective method is available yet for the determination of the associated model parameters such as the tortuosity factor q. Considering the analogy between water flow and electrical current flow in a porous medium, in this study, we proposed to improve the predictive capability of statistical models by determining the tortuosity factor q using electrical conductivity (EC) measurements. We first developed a theoretical hydraulic-electrical conductivity (K-EC) relationship for unsaturated soils based on the bundle of capillary tubes model. This K-EC relationship was then used to form a new unsaturated soil EC model, which was verified using published experimental data. The tortuosity factor q can then be determined by fitting the new EC model to soil EC measurements. Experimental data of six soils were used to test the effectiveness of this method and it was shown that the prediction was significantly improved when compared with the one using the commonly suggested value q = 0.5. The associated root-mean-square-deviation (RMSD) between measurements and predictions is only 0.28 when q is obtained by using our proposed method. In contrast, the RMSD is 0.97 when q is simply assumed as 0.5. (C) 2015 Elsevier B.V. All rights reserved.
机译:统计模型已广泛用于土壤科学,水文地质和岩土工程中,以预测非饱和土壤的水力传导率。但是,尚无有效方法可用于确定相关模型参数(例如曲折系数q)。考虑到多孔介质中水流与电流之间的类比,在本研究中,我们建议通过使用电导率(EC)测量确定曲折系数q来提高统计模型的预测能力。我们首先基于毛细管束模型开发了非饱和土壤的理论水电导率(K-EC)关系。然后将这种K-EC关系用于形成新的非饱和土壤EC模型,并使用已发布的实验数据对其进行了验证。然后可以通过将新的EC模型拟合到土壤EC测量值来确定曲折因子q。使用六种土壤的实验数据测试了该方法的有效性,结果表明,与使用通常建议值q = 0.5的土壤相比,预测得到了显着改善。当使用我们提出的方法获得q时,测量值和预测值之间的关联均方根偏差(RMSD)仅为0.28。相反,当简单地假设q为0.5时,RMSD为0.97。 (C)2015 Elsevier B.V.保留所有权利。

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