Contour ridge systems may lead to seepage that could result in serious soil erosion. Modeling soil erosion under seepage conditions in a contour ridge system has been overlooked in most current soil erosion models. To address the importance of seepage in soil erosion modeling, a total of 23 treatments with 3 factors, row grade, field slope and ridge height, in 5 gradients were arranged in an orthogonal rotatable central composite design. The second-order polynomial regression model for predicting the sediment yield was improved by using the measured or predicted seepage discharge as an input factor, which increased the coefficient of determination (R2) from 0.743 to 0.915 or 0.893. The improved regression models combined with the measured seepage discharge had a lower P (0.007) compared to those combined with the predicted seepage discharge (P=0.016). With the measured seepage discharge incorporated, some significant (P<0.050) effects and interactions of influential factors on sediment yield were detected, including the row grade and its interactions with the field slope, ridge height and seepage discharge, the quadratic terms of the field slope and its interactions with the row grade and seepage discharge. In the regression model with the predicted seepage discharge as an influencing factor, only the interaction between row grade and seepage discharge significantly affected the sediment yield. The regression model incorporated with predicted seepage discharge may be expressed simply and can be used effectively when measured seepage discharge data are not available.

中文翻译：

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应用渗流模型改进等高岭系统中的沉积物产量预测

等高岭系统可能会导致渗漏，从而导致严重的水土流失。大多数当前的土壤侵蚀模型都忽略了等高岭系统中渗流条件下的土壤侵蚀建模。为了解决渗流在土壤侵蚀建模中的重要性，在正交可旋转中心复合设计中排列了 5 个梯度 3 个因素、行坡度、田间坡度和脊高的 23 个处理。以实测或预测的渗流流量为输入因子，改进了预测产沙量的二阶多项式回归模型，将决定系数（R2）从0.743提高到0.915或0.893。与结合预测渗流排放的模型相比，改进的回归模型结合实测渗流排放的 P (0.007) 较低 (P = 0. 016)。结合实测渗流流量，检测到一些显着（P<0.050）影响因素对产沙量的影响和相互作用，包括行坡度及其与田间坡度、垄高和渗流流量的相互作用，田间的二次项坡度及其与行坡度和渗流排放的相互作用。在以预测渗流量为影响因素的回归模型中，只有行坡度与渗流量的交互作用对产沙量有显着影响。结合预测渗流量的回归模型表达简单，在无法获得实测渗流量数据时可以有效使用。050) 检测了对产沙影响因素的影响和相互作用，包括行坡度及其与田间坡度、垄高和渗流流量的相互作用，田间坡度的二次项及其与行坡度和渗流流量的相互作用。在以预测渗流量为影响因素的回归模型中，只有行坡度与渗流量的交互作用对产沙量有显着影响。结合预测渗流量的回归模型表达简单，在无法获得实测渗流量数据时可以有效使用。050) 检测了对产沙影响因素的影响和相互作用，包括行坡度及其与田间坡度、垄高和渗流流量的相互作用，田间坡度的二次项及其与行坡度和渗流流量的相互作用。在以预测渗流量为影响因素的回归模型中，只有行坡度与渗流量的交互作用对产沙量有显着影响。结合预测渗流量的回归模型表达简单，在无法获得实测渗流量数据时可以有效使用。场坡度的二次项及其与行坡度和渗流流量的相互作用。在以预测渗流量为影响因素的回归模型中，只有行级与渗流量的交互作用显着影响产沙量。结合预测渗流量的回归模型表达简单，在无法获得实测渗流量数据时可以有效使用。场坡度的二次项及其与行坡度和渗流流量的相互作用。在以预测渗流量为影响因素的回归模型中，只有行坡度与渗流量的交互作用对产沙量有显着影响。结合预测渗流量的回归模型表达简单，在无法获得实测渗流量数据时可以有效使用。