To develop an effective strategy for controlling wind erosion and soil degradation, it is necessary to identify the regions with the greatest wind erosion potential. In this regard, many wind erosion models are available that can be used to estimate the rate of wind erosion, allowing erosion control strategies to be assessed. A major factor in all wind erosion models is the inherent erodibility of soil. As it has been proven that the wind erodible fraction of soil (EF) is closely related to its erodibility, this parameter is of importance and used in many wind erosion models such as WEQ, RWEQ, EPIC, and APEX. To evaluate the effect of key soil parameters such as contents of sand, silt, clay, organic matter, and calcium carbonate on the EF, a dataset consisting of 293 samples was compiled from peer-reviewed studies. Initially, to evaluate the relationship between main soil parameters and the EF, Pearson correlation coefficients were calculated for the soil parameters. The results indicate that soil texture has a more significant impact on the EF than the contents of organic matter and calcium carbonate. Moreover, a total of six equations have been identified within the existing body of the literature for the purpose of predicting the soil EF. Through an evaluation of the performance of the existing equations, it was observed that their accuracy varies, often overestimating or underestimating the EF of soil, indicating their overall unsatisfactory performance. To address this issue, regression analysis was employed to propose an equation based on the compiled dataset, which provides satisfactory accuracy in EF prediction.

中文翻译：

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评估风引起的土壤侵蚀部分的数据驱动方法

为了制定控制风蚀和土壤退化的有效策略，有必要确定风蚀潜力最大的区域。在这方面，有许多风蚀模型可用于估计风蚀速率，从而可以评估侵蚀控制策略。所有风蚀模型的一个主要因素是土壤固有的可蚀性。由于已经证明土壤的风蚀分数（EF）与其可蚀性密切相关，因此该参数非常重要，并在许多风蚀模型中使用，例如WEQ、RWEQ、EPIC和APEX。为了评估关键土壤参数（例如沙子、淤泥、粘土、有机质和碳酸钙的含量）对 EF 的影响，根据同行评审的研究编制了包含 293 个样本的数据集。最初，为了评估主要土壤参数与 EF 之间的关系，计算了土壤参数的皮尔逊相关系数。结果表明，土壤质地对EF的影响比有机质和碳酸钙含量的影响更显着。此外，现有文献中总共确定了六个方程用于预测土壤 EF。通过对现有方程性能的评估，发现它们的精度各不相同，经常高估或低估土壤的 EF，表明它们的总体性能不令人满意。为了解决这个问题，采用回归分析提出了一个基于编译数据集的方程，该方程在 EF 预测中提供了令人满意的准确性。