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Identifying sediment transport mechanisms from grain size–shape distributions, applied to aeolian sediments

机译:识别沉积物传输机制从晶粒尺寸的分布,应用于海湾沉积物

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The way in which sediment is transported (creep, saltation, suspension), is traditionally interpreted from grain size distribution characteristics. However, the grain size range associated with transitions from one transport mode to the other is highly variable because it depends on the amount of transport energy available. In this study we present a novel methodology for determination of the sediment transport mode based on grain size and shape data from dynamic image analysis. The data are integrated into grain size–shape distributions, and primary components are determined using endmember modelling. In real-world datasets, primary components can be interpreted in terms of different transport mechanisms and/or sediment sources. Accuracy of the method is assessed using artificial datasets with known primary components that are mixed in known proportions. The results show that the proposed technique accurately identifies primary components, with the exception of those primary components that only form minor contributions to the samples (highly mixed components). The new method is tested on sediment samples from an active aeolian system in the Dutch coastal dunes. Aeolian transport processes and geomorphology of these type of systems are well known and can therefore be linked to the spatial distribution of endmembers to assess the physical significance of the method's output. The grain size–shape distributions of the aeolian dune dataset are unmixed into three primary components. The spatial distribution of these components is constrained by geomorphology and reflects the three dominant aeolian transport processes known to occur along a beach–dune transect: bedload on the beach and in notches that were dug by man through the shore-parallel foredune ridge, modified saltation on the windward and leeward slope of the intact foredune, and suspension in the vegetated hinterland. The three transport modes are characterised by distinctly different trends in grain shape with grain size: with increasing size, bedload shows a constant grain regularity, modified saltation a minor decrease in grain regularity, and suspension a strong decrease in grain regularity. These trends, or in other words, the shape of the grain size–shape distributions, can be used to determine the transport mode responsible for an aeolian sediment deposit. Results of the method are therefore less ambiguous than those of traditional grain size distribution endmember modelling, especially if multiple transport modes occur or if primary components overlap in terms of grain size but differ in grain shape.
机译:传输沉积物(蠕变,盐酸盐)的方式传统上从晶粒尺寸分布特征解释。然而,与从一个传送模式到另一个传输模式相关联的晶粒尺寸范围是高度可变的,因为它取决于可用的运输能量的量。在该研究中,我们提出了一种基于动态图像分析的晶粒尺寸和形状数据来确定沉积物传输模式的新方法。数据被集成到晶粒尺寸形状分布中,并且使用终点模型确定主要分量。在现实世界数据集中,主要组件可以根据不同的传输机制和/或沉积物来解释。使用具有已知比例混合的已知主组分的人工数据集来评估该方法的准确性。结果表明,所提出的技术准确地识别主要组件,除了那些仅形成对样品的次要贡献(高度混合的组件)的主要组件外。新方法在荷兰沿海沙丘中的活跃的Aeolian系统中测试了沉积物样本。这些类型系统的Aeolian运输过程和地貌是众所周知的,因此可以与终端的空间分布相关,以评估该方法的输出的物理意义。 Aeolian Dune数据集的晶粒尺寸形状分布解体分为三个主要组件。这些组件的空间分布受到大形态的限制,并反映了沿着海滩 - 沙丘横断的三个主要的Aeolian运输过程:海滩上的床单和人类穿过岸上觅食脊挖的缺口,改性盐化在完整造型的迎风和背风坡上,悬浮在植被的腹地中。三种运输模式的特点是晶粒形状的明显不同趋势:随着尺寸的增加,床加压显示恒定的晶粒规律,修饰盐的颗粒规律的微小降低,并悬浮晶粒规律的强烈降低。这些趋势或换句话说,晶粒尺寸形状分布的形状可用于确定负责天空沉积物沉积物的运输模式。因此,该方法的结果比传统的粒度分布终点建模不那么模糊,特别是如果发生多种传输模式或者主要成分在晶粒尺寸方面重叠但是晶粒形状不同。

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