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Statistical characterization of sedimentation velocity of natural particles
Aeolian Research ( IF 3.3 ) Pub Date : 2020-03-21 , DOI: 10.1016/j.aeolia.2020.100593
Lorenzo Raffaele , Luca Bruno , Douglas J. Sherman

Aeolian sediment transport has major repercussions for global climatic variations, air quality, human health, agricultural areas, air and ground transportation, civil structures and infrastructures. This led to the development of models to understand the involved physical process, and to predict the dynamics of aeolian sediment transport. The sedimentation velocity is one of the key model parameters characterizing sediment behavior. It allows the prediction of the mode of transport, the distribution of particles above the ground, and the sediment transport rate. Despite its importance, there is substantial discrepancy among the sedimentation velocity laws for natural particles, also due to the large dispersion of experimental data. This study proposes the statistical characterization of the experimental measurements of sedimentation velocity available from the literature. 1812 experimental measurements were recovered from 11 studies. Their variability was discussed, providing an aerodynamic reading. Nonlinear regression was carried out on the consolidated dataset in order to assess the average value. Two well-known laws initially conceived for spheres were refitted to natural particles providing high coefficients of determination equal to 0.90 and 0.93. Then, copula-based regression was performed in order to seize the variability of sedimentation velocity. Finally, the results from the two approaches were compared and critically discussed.



中文翻译:

天然颗粒沉降速度的统计表征

风沙沉积物运输对全球气候变化,空气质量,人类健康,农业地区,空中和地面运输,土木结构和基础设施具有重大影响。这导致模型的开发,以了解所涉及的物理过程,并预测风沙沉积物的动力学。沉积速度是表征沉积物行为的关键模型参数之一。它可以预测运输方式,地面以上颗粒的分布以及沉积物的运输速度。尽管它很重要,但由于实验数据的分散,天然颗粒的沉降速度定律之间还是存在很大差异。这项研究提出了从文献中可获得的沉降速度实验测量值的统计特征。从11项研究中回收了1812个实验测量值。讨论了它们的可变性,提供了空气动力学的读数。为了评估平均值,对合并后的数据集进行了非线性回归。最初针对球体构想的两个著名定律被重新拟合为自然粒子,提供了等于0.90和0.93的高确定系数。然后,进行基于copula的回归以抓住沉积速度的变化。最后,对两种方法的结果进行了比较和严格讨论。提供空气动力学的读数。为了评估平均值,对合并的数据集进行了非线性回归。最初针对球体构想的两个著名定律被重新拟合为自然粒子,提供了等于0.90和0.93的高确定系数。然后,进行基于copula的回归以抓住沉降速度的变化。最后,对两种方法的结果进行了比较和严格讨论。提供空气动力学读数。为了评估平均值,对合并的数据集进行了非线性回归。最初针对球体构想的两个著名定律被重新拟合为自然粒子,提供了等于0.90和0.93的高确定系数。然后,进行基于copula的回归以抓住沉积速度的变化。最后,对两种方法的结果进行了比较和严格讨论。为了抓住沉降速度的变化性,进行了基于copula的回归。最后,对两种方法的结果进行了比较和严格讨论。为了抓住沉降速度的变化性,进行了基于copula的回归。最后,对两种方法的结果进行了比较和严格讨论。

更新日期:2020-03-21
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