Quantitative Analysis of Grain Orientation as a Proxy for Historical Flow Dynamics

IF 3.5 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Journal of Geophysical Research: Earth Surface Pub Date : 2024-05-14 DOI:10.1029/2023JF007480
Jie Qin, Qiran Li, Teng Wu, Huimin Ding
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Abstract

The spatial arrangement of grains in gravel-bed rivers significantly influences sediment transport, flow resistance, and ecological conditions. Inferring historical flow information from spatial grain arrangements has garnered considerable interest among researchers. This study presents a robust and feasible method for such inference, focusing on quantitative approaches to estimate grain arrangement through inclination analysis. Two parameters based on inclination analysis are proposed for estimating grain arrangement. Quantitative relationships between these parameters and grain arrangements are established using artificially generated grain surfaces with predefined grain features. Additionally, the degree of imbrication, represented by the standard deviation of inclination curves, is examined using these generated surfaces. At the macroscopic level, the irregular inclination curve of a riverbed arises from the spatial variability of local hydrodynamic processes, leading to different local grain arrangements. Leveraging this feature at the microscopic level, the spatial distribution of grain orientation, or the grain azimuth field, is obtained using the proposed quantitative relationship. To explore the relationship between this grain azimuth field and flow velocity directions, a three-dimensional turbulent model based on Detached Eddy Simulation is deployed to simulate the detailed flow field near a gravel bed surface. Comparisons between the grain azimuth field and the flow velocity field highlight similarities, affirming that historical flow direction can be inferred from grain arrangement information. This study contributes to advancing the understanding of the intricate connections between grain arrangements and historical flow dynamics in gravel-bed rivers.

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定量分析作为历史流动动力学替代物的晶粒取向
砾石河床河流中颗粒的空间排列对泥沙输运、流动阻力和生态条件有重大影响。从空间颗粒排列推断历史流动信息已引起研究人员的极大兴趣。本研究提出了一种稳健可行的推断方法,重点关注通过倾角分析估算颗粒排列的定量方法。提出了两个基于倾角分析的参数,用于估算谷物排列。利用人工生成的具有预定义晶粒特征的晶粒表面,建立了这些参数与晶粒排列之间的定量关系。此外,还利用这些生成的表面检测了以倾斜曲线标准偏差表示的嵌合程度。在宏观层面上,河床的不规则倾斜曲线源于局部水动力过程的空间变化,从而导致不同的局部颗粒排列。利用微观层面上的这一特征,利用所提出的定量关系,可以获得颗粒方位的空间分布,即颗粒方位场。为了探索晶粒方位场与流速方向之间的关系,采用了基于分离涡模拟的三维湍流模型来模拟砾石床表面附近的详细流场。谷物方位角场与流速场之间的比较凸显了两者之间的相似性,从而证实了可以通过谷物排列信息推断出历史流向。这项研究有助于加深对砾石床河流中颗粒排列与历史流动动力学之间错综复杂联系的理解。
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来源期刊
Journal of Geophysical Research: Earth Surface
Journal of Geophysical Research: Earth Surface Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
6.30
自引率
10.30%
发文量
162
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