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Comparison of Moving Average-Based, S Growth-Based, and AUF Rainfall-Induced Soil Erosion Area Models

机译:基于平均的基于生长的基于寿命,AUF降雨诱导的土壤侵蚀区域模型的比较

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This paper gives the comparison of the moving average, S growth and adaptive updating forecasting (AUF) models based on the rainfall-induced soil erosion area experiment. The results show that (1) the average relative error of the moving average method is 5.7%-12.1%, while S growth model has an error of 3%-9.7% and average relative error of adaptive updating model is between 3.4%-9.6%. (2) the moving average method is easy to be constructed; the S growth model owns good physical meaning; (3) the AUF model is very reliable since it combines two models.
机译:本文基于降雨诱导的土壤侵蚀区实验,提供了移动平均,S生长和自适应更新预测(AUF)模型的比较。结果表明,(1)移动平均方法的平均相对误差为5.7%-12.1%,而S生长模型的误差为3%-9.7%,适应性更新模型的平均相对误差为3.4%-9.6之间%。 (2)易于构建的移动平均方法; S生长模式拥有良好的身体意义; (3)AUF模型非常可靠,因为它结合了两个模型。

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