کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8911220 1638095 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantitative, SEM-based shape analysis of sediment particles in the Yellow River
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات ژئوشیمی و پترولوژی
پیش نمایش صفحه اول مقاله
Quantitative, SEM-based shape analysis of sediment particles in the Yellow River
چکیده انگلیسی
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 coefficient (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 WSQAM for sediment statistical analysis, and the results were found to be accurate.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Sediment Research - Volume 31, Issue 4, December 2016, Pages 341-350
نویسندگان
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