Analysis of Measured, Predicted, and Estimated Hydraulic Conductivity Using the RETC Computer Program
Analysis of Measured, Predicted, and Estimated Hydraulic Conductivity Using the RETC Computer Program
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使用 RETC 计算机程序分析测量、预测和估计的水力传导率
DOI：
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发表时间：
1992
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影响因子：
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通讯作者：
A. Warrick
中科院分区：
文献类型：
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作者：
S. Yates;M. Genuchten;F. Leij;A. Warrick
一个非线性最小二乘优化程序，RETC，它使用的经验关系描述的保水曲线和预测模型表征的非饱和导水率的关系被用来分析36个非饱和导水率分布从文献中获得的23种不同的土壤。通过比较测量，预测和估计的相对电导率组的数据，这种方法的效率和准确性，表征土壤水力特性。该分析包括使用三种预测方法和两种同时方法（包括已知的电导率值）比较测量、预测和估计的电导率。结果表明，对于这组数据，最好的方法来确定模型参数，将准确地描述了水分保持和非饱和导水率的关系是使用一个同时的方法，无论是五个或六个参数。有人还发现，预测方法引入了偏见的估计不饱和导水率和预测方法与缩放并没有显着提高不饱和导水率的估计。要查看完整的文章，请插入光盘5，然后单击按钮8
A nonlinear least-squares optimization program, RETC, which uses empirical relationships for describing the water-retention curve and predictive models for characterizing the unsaturated hydraulic conductivity relationship was used to analyze 36 unsaturated hydraulic conductivity distributions obtained from the literature for 23 different soils. By comparing the measured, predicted, and estimated relative conductivity for the group of data, the efficiency and accuracy of this approach for characterizing the soil hydraulic properties was determined. The analysis consisted of comparing measured, predicted, and estimated conductivities using three predictive methods and two simultaneous methods (which include known values of the conductivity). The results indicate that for this group of data, the best method for determining the model parameters that will accurately describe both the water retention and unsaturated hydraulic conductivity relationships is to use a simultaneous approach with either five or six parameters. It was also found that the predictive approach introduces a bias into the estimates of the unsaturated hydraulic conductivity and a predictive approach with scaling did not significantly improve the estimates of the unsaturated hydraulic conductivity. View complete article To view this complete article, insert Disc 5 then click button8