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首页> 外文期刊>European Journal of Soil Science >Estimation of saturated hydraulic conductivity from double-ring infiltrometer measurements
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Estimation of saturated hydraulic conductivity from double-ring infiltrometer measurements

机译:根据双环渗透仪测量结果估算饱和导水率

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This research aims to determine soil vertical saturated hydraulic conductivity (K-s) in situ from the measured steady infiltration rate (I), initial soil properties and double-ring infiltrometer (DRI) test data. Characterizing the effects of these variables on the measured steady infiltration rate will enable more accurate prediction of K-s. We measured the effects of the ring diameter, head of ponding, ring depth, initial effective saturation and soil macroscopic capillary length on measured steady infiltration rates. We did this by simulating 864 DRI tests with the finite element program HYDRUS-2D and by conducting 39 full-scale in situ DRI tests, 30 Mini-Disk infiltrometer experiments and four Guelph Permeameter tests. The M5' model trees and genetic programming (GP) methods were applied to the data to establish formulae to predict the K-s of sandy to sandy-clay soils. The nine field DRI tests were used to verify the computer models. We determined the accuracy of the methods with 30% of the simulated DRI data to compare I/K-s values of the finite element models with estimates from the suggested formulae. We also used the suggested formulae to predict the K-s values of 30 field DRI experiments and compared them with values measured by Guelph Permeameter tests. Compared with the GP method, the M5' model was better at predicting K-S, with a correlation coefficient of 0.862 and root mean square error (RMSE) of 0.282 cm s(-1). In addition, the latter method estimated K-s values of the field experiments more accurately, with an RMSE of 0.00346 cm s(-1).
机译:这项研究的目的是从测得的稳态渗透率(I),初始土壤性质和双环渗透计(DRI)测试数据中确定土壤的垂直饱和水导率(K-s)。表征这些变量对测得的稳定渗透率的影响将使K-s的预测更加准确。我们测量了环直径,沉头,环深度,初始有效饱和度和土壤宏观毛细管长度对测得的稳定渗透率的影响。我们通过使用有限元程序HYDRUS-2D模拟864个DRI测试,并进行39个全比例原位DRI测试,30个微型磁盘渗透仪实验和四个Guelph渗透仪测试,从而实现了这一目的。将M5'模型树和遗传规划(GP)方法应用于数据,以建立公式来预测沙质至沙质粘土的K-s。九项现场DRI测试用于验证计算机模型。我们用30%的模拟DRI数据确定了方法的准确性,以将有限元模型的I / K-s值与建议公式的估算值进行比较。我们还使用建议的公式来预测30个场DRI实验的K-s值,并将它们与通过Guelph渗透仪测试测得的值进行比较。与GP方法相比,M5'模型在预测K-S方面更好,相关系数为0.862,均方根误差(RMSE)为0.282 cm s(-1)。此外,后一种方法可以更精确地估计野外实验的K-s值,RMSE为0.00346 cm s(-1)。

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