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Using wind run to predict sand drift
Earth Surface Processes and Landforms ( IF 3.3 ) Pub Date : 2020-03-13 , DOI: 10.1002/esp.4848
Andreas C.W. Baas 1 , Derek W.T. Jackson 2 , Irene Delgado‐Fernandez 3 , Kevin Lynch 4 , J. Andrew G. Cooper 2
Affiliation  

Conventional aeolian sand transport models relate mass transport rate to wind speed or shear velocity, usually expressed and empirically tested on a 1‐s time scale. Projections of total sand delivery over long time scales based on these models are highly sensitive to any small bias arising from statistical fitting on empirical data. We analysed time series of wind speed and sand transport rate collected at 14 independent measurement stations on a beach during a prior field experiment. The results show that relating total sand drift to cumulative above‐threshold wind run yields models which are more statistically robust when fitted on empirical data, generating smaller prediction errors when projected to longer time scales. Testing of different power exponents indicates that a linear relationship between sand drift and above‐threshold wind run yields the best results. These findings inspire a speculative novel phenomenological model relating the mass flow of air in the boundary layer to the mass transport of sand over the surface. © 2020 John Wiley & Sons, Ltd.

中文翻译:

使用风道预测沙粒漂移

传统的风沙输送模型将质量输送速率与风速或剪切速度相关联,通常以1 s的时间尺度表示和经验测试。基于这些模型的长期尺度上的总输沙量预测对经验数据的统计拟合所产生的任何小偏差高度敏感。在先前的野外实验期间,我们分析了在海滩上的14个独立测量站收集的风速和砂传输速率的时间序列。结果表明,将总沙粒漂移与累积阈值以上风速相关联时,得出的模型在拟合经验数据时在统计上更加稳健,而在投影到较长的时间尺度时会产生较小的预测误差。对不同的幂指数进行测试表明,沙粒漂移与阈值以上风速之间的线性关系可产生最佳结果。这些发现激发了一种推测性的新型现象学模型,该模型将边界层中的空气质量流量与表面上沙的质量传输相关联。分级为4 +©2020 John Wiley&Sons,Ltd.
更新日期:2020-03-13
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