Successful application of the Taguchi method to simulated soil erosion experiments at the slope scale under various conditions
Successful application of the Taguchi method to simulated soil erosion experiments at the slope scale under various conditions
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田口法在不同条件下坡度尺度土壤侵蚀模拟实验中的成功应用
DOI：
10.1016/j.catena.2020.104835
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发表时间：
2021
期刊：
影响因子：
6.2
通讯作者：
Yang Mingyi
中科院分区：
文献类型：
--
作者：
Zhang Fengbao;Wang Min;Yang Mingyi
田口方法的好处已经在各个领域得到了证明。然而，它的适用性土壤侵蚀实验在不同条件下的坡面尺度还不清楚。为验证田口法在不同条件下坡面尺度土壤侵蚀模拟试验中的适用性，采用6个已发表的因变量（侵蚀率D、径流率R、含沙量C、流速V和输沙量Tc）数据集，对全因子设计法、田口法和正交设计法的试验结果进行了比较。对于所有因变量，正交设计和田口法的因变量统计参数与全因子设计的因变量统计参数非常接近。在全因子设计和田口法的45组中，有35组的主效应在不同因子水平上的变化趋势一致，而在正交设计的27组中，主效应的变化趋势一致。田口设计法和正交设计法的10个和7个因变量（共14个）的最佳条件分别与全因子设计相同。此外，田口和正交设计方法的13个和8个因变量（共14个）分别与全因子设计方法具有相同的因子秩次贡献百分比。通过单因素方差分析，以决定系数、Nash-Sutcliffe效率、相对均方根误差、平均绝对百分误差和Thiel不等系数等指标评价预测能力，结果表明，田口法预测效果优于正交设计预测效果。总体而言，田口法在坡面尺度上比正交设计法能得到更可靠的土壤侵蚀结论。这些结果表明，田口方法可以成功地应用于土壤侵蚀试验，可以更好地取代全因子设计方法相比，正交设计方法在坡度尺度。
The benefits of the Taguchi method have been demonstrated in diverse fields. However, its applicability to soil erosion experiments at the slope scale under various conditions remains unclear. Using 6 published datasets that included the dependent variables of erosion rate (D), runoff rate (R), sediment concentration (C), flow velocity (V) and transport capacity (Tc), we compared the results from the full-factorial design method with those from the Taguchi and orthogonal design methods to validate the applicability of the Taguchi method to simulated soil erosion experiments at the slope scale under different conditions. The statistical parameters of the dependent variables from the orthogonal design and Taguchi method were very close to those from the full-factorial design for all dependent variables. The trends of the main effects based on different factor levels were consistent for 35 out of 45 sets from the full-factorial design and Taguchi method and for 27 sets from the orthogonal design. The optimum conditions for 10 and 7 dependent variables (out of 14) for the Taguchi and orthogonal design methods were the same as those for the full-factorial design, respectively. In addition, 13 and 8 dependent variables (out of 14) for the Taguchi and orthogonal design methods had the same factor rank order of percentage contributions as the full-factorial design method, respectively. Based on a univariate analysis of variance, the evaluating indicators for predictive power, including the determination coefficient, Nash-Sutcliffe efficiency, relative root mean squared error, mean absolute percentage error and Thiel inequality coefficient, indicated that the Taguchi method predictions were better than the orthogonal design predictions. Overall, the Taguchi method could obtain more reliable conclusions for soil erosion than the orthogonal design method at the slope scale. These findings suggest that the Taguchi method could be successfully applied to soil erosion experiments and could better replace the full-factorial design method at the slope scale compared with the orthogonal design method.
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