journal article·2023-08-03Open access

Comparative Grain Size Analysis of Modern Flood Sediments Based on Graphic and Moment Methods in the Lower Yellow River (Huang He), China

Liang Tang, Shuwei Zheng, Haijun Wang, Wentong Zhang

Applied Sciences· Volume 13· Issue 15

Abstract

Grain size analysis of flood sediments is a key method for understanding the sedimentary environments of rivers worldwide; however, there is limited knowledge of how to effectively reflect the sedimentary environment of lower Yellow River (Huang He) flood events using grain size parameters. In this study, two widely used grain size analysis methods, the graphic method (GM) and moment method (MM), were compared, and their applicability to flood sediment analysis in the lower Yellow River was evaluated. Modern flood sediments (n = 143) in the lower Yellow River featured a fine-grained texture and were classified as silty sand (4.95 ≤ Φ ≤ 5.03) characterized by an inadequate sorting ability. The grain size distribution patterns obtained using the GM and MM revealed positive and extremely positive deviations with sharp and flat peaks, respectively. A strong correlation (0.6966 ≤ R2 ≤ 0.9961) was observed between the mean grain size and the sorting coefficient obtained using the GM and MM. Thus, both methods were deemed suitable and could be used interchangeably. Our results indicate that the MM should be applied to assess skewness because it provided comprehensive information regarding flood sediments in the lower Yellow River, whereas the GM is recommended for kurtosis analysis, as it highlighted the primary sedimentary dynamics during flood events. Methods must be selected based on the sedimentary environment when analyzing grain size parameters.
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Research context

OpenAlex topics: Hydrology and Sediment Transport Processes · Hydrology and Watershed Management Studies · Landslides and related hazards

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Geography and Resources, Guizhou Education University, Guiyang 550018, China

Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University, Guiyang 550018, China

College of Geography and Environment, Shandong Normal University, Jinan 250358, China

Department of Hydrological Information, Shandong Provincial Center of Hydrology, Jinan 250014, China

Institute of Jiangsu Coastal Development, Yancheng Teachers University, Yancheng 224002, China

Funding

Science and Technology Program of Guizhou Province · Natural Science Foundation of Shandong Province · Shandong Normal University Undergraduate Fund · Doctoral Fund of Guizhou Education University

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