Using wind run to predict sand drift

Using wind run to predict sand drift
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利用风跑预测流沙

DOI:
10.1002/esp.4848
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发表时间:
2020
影响因子:
3.3
通讯作者:
Baas A
Baas A
中科院分区:
地球科学2区
文献类型:
--
作者:
Baas A

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传统的风沙输送模型将质量输送率与风速或剪切速度联系起来,通常在 1 秒时间尺度上进行表达和经验测试。基于这些模型的长时间尺度上的总出砂量预测对于经验数据统计拟合所产生的任何小偏差都高度敏感。我们分析了在之前的现场实验中在海滩上 14 个独立测量站收集的风速和沙子输送速率的时间序列。结果表明,将总沙流与累积的阈值以上风流联系起来产生的模型在拟合经验数据时在统计上更加稳健,当投影到更长的时间尺度时产生更小的预测误差。不同幂指数的测试表明,沙流和阈值以上风流之间的线性关系产生了最佳结果。这些发现激发了一种新颖的推测唯象模型,将边界层中的空气质量流与表面沙子的质量传输联系起来。 © 2020 约翰威利父子公司。
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.
DOI: --
发表时间: 2013
期刊:
影响因子: --
作者:
K. Lynch;I. Delgado‐Fernandez;D. Jackson;J. Cooper;A. Baas;J. Beyers
通讯作者: J. Beyers