Study on the motion characteristics of bedload sediment particles under different sediment transport intensities

Author:

Liu Chunjing123ORCID,Zhang Lingfeng123,Zhang Yu123,Jiang Xiaopeng123,Liu Fei123,Gu Leilei123,Lu Jing123

Affiliation:

1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin Beijing China

2. Key Laboratory of Sediment Science and Northern River Training of Ministry of Water Resources Beijing China

3. China Institute of Water Resources and Hydropower Research Beijing China

Abstract

AbstractBedload studies at the particle scale may help grasp the essence of the problem. Existing studies suffer from short filming durations, limited data volume, and a narrow range of sediment transport intensity variations. This paper employs the high‐speed photography technology and conducts experimental studies on bedload particle motion under 8 different sediment transport intensities. Using the latest image processing technology, over 6 million sediment particle coordinate points and nearly 400,000 particle motion trajectory curves were automatically obtained and used to compare the motion characteristics of bedload particles under different sediment transport intensities. The results show that under low sediment transport intensity, both the number of moving particles and particle motion velocity contribute to the bedload sediment transport rate, while under high‐intensity conditions, the transport rate mainly depends on the number of moving particles. The probability density distribution of sediment transport rate is concentrated and varies within a small range under low‐intensity conditions, exhibiting a tailing phenomenon. In contrast, under high‐intensity conditions, the range of sediment transport rate values increases, and the probability density curve tends to be symmetric, more closely approximating a normal distribution. Additionally, the paper compares the longitudinal and transverse motion velocities of particles and the coefficient of variation of the bedload sediment transport rate.

Funder

National Natural Science Foundation of China

China Institute of Water Resources and Hydropower Research

Publisher

Wiley

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