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Quantitative, SEM-based shape analysis of sediment particles in the Yellow River

ISSN号：1001-6279
期刊名称：《国际泥沙研究：英文版》
时间：0
分类：TP317.4[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] X131.2[环境科学与工程—环境科学]
作者机构：[1]State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China, [2]Civil Engineering, The University of Adelaide, Adelaide 5005, Austriia
相关基金：This work was supported in part by National Natural Science Foundation of China （Grant No. 51079095） and the Science Fund for Creative Research Groups of the National Natural Science Foundation of China （Grant No. 51021004）.

作者： Daming Li[1], Yangyang Li[1], Zhichao Wang[1], Xiao Wang[1], Yanqing Li[1,2]

关键词：黄河沉积物, 定量分析方法, 泥沙颗粒, 形态分析, FORTRAN编程, 扫描电子显微镜, 颗粒形状, 统计分析, Hydraulics Sediment transport mechanics Sediment particle shape analysis SEM image Yellow River

中文摘要：

一个沉积粒子的形状能揭示粒子交通历史的部分并且是在沉积运输力学的一个重要变量。测量沉积形状是一项困难、费时间的任务。一个整个样品沉积粒子形状定量分析方法(WSQAM ) 为沉积在这研究被使用统计分析。形状参数用球状和圆描述符被发现：三件样品在不同深度从黄河的中间的活动范围被收集。扫描电子显微镜学(SEM ) 被用来获得沉积粒子图象。球状和圆描述符被粒子方面比率(AR ) 和 Fourier 形状系数(FSC ) 代表。Fourier 系列近似匹配粒子轮廓。从整个沉积粒子的统计结果取样，基于数字图象处理由 WSQAM 数了有光滑的表面的好沉积粒子观察沉积粒子占了约 80% 所有。为沉积粒子的多数， AR 比 0.3 大， FSC 是不到 0.1。当 AR 比 0.5 大时， FSC 指数地与 AR 腐烂了。当 AR 是不到 0.5 时，二个参数， AR 和 FSC，应该被联合描述沉积粒子形状。这二个参数的联合使用能为未来提供一本参考书沉积相关的计算。沉积粒子形状分析模型，在 Fortran 规划了，快速、灵活。统计分析，和结果被发现精确，为沉积对使用 WSQAM 证明有效。

英文摘要：

The shape of a sediment particle can reveal part of the particle＇s transportation history and is a significant variable in sediment transport mechanics. Measuring sediment shapes is a difficult and time-consuming task. A whole sample sediment particle shape quantitative analysis method （WSQAM） was applied in this research for sediment statistical analysis. The shape parameter was found using sphericity and roundness descriptors： three samples were collected from the middle reach of the Yellow River at different depths. Scanning electron microscopy （SEM） was used to obtain sediment particles images. The sphericity and roundness descriptors were represented by the particle aspect ratio （AR） and the Fourier shape coeffi- cient （FSC）. The Fourier series approximation matched the particle outlines. From the statistical results of the whole sediment particle sample, as counted by WSQAM based on digital image processing, fine sediment particles with smooth surfaces accounted for approximately 80% of all of the observed sediment particles. For the majority of sediment particles, AR was greater than 0.3 and FSC was less than 0.1. When AR was greater than 0.5, FSC exponentially decayed with AR. When AR was less than 0.5, the two parameters, AR and FSC, should be combined to describe the sediment particle shape. The combined use of these two parameters can provide a reference for future sediment-related calculations. The sediment particle shape analysis model, programmed in Fortran, was rapid and flexible. It proved efficient to use WSOAM for sediment statistical analysis, and the results were found to be accurate.