Laboratory study of gravel-bed cluster formation and disintegration

• Published in: Water resources research 2014-03, Vol.50 (3), p.2227-2241
• Main Authors: Heays, K. G., Friedrich, H., Melville, B. W.
• Format: Article
• Language: English
• Subjects: Aquatic organisms; cluster identification tool (CIT); digital particle tracking (DPT); Gravel; image analysis; Laboratories; Natural environment; Photogrammetry; Sediment transport; Upstream
• ISSN: 0043-1397; 1944-7973
• DOI: 10.1002/2013WR014208

Increased knowledge of clusters is essential for the understanding of sediment transport behavior and the monitoring and protection of aquatic life. A physical study using graded river gravels is conducted in a laboratory environment. Using photogrammetry and painted gravels, a cluster identification tool (CIT) is developed based on image subtraction between subsequent frames, allowing identification of any stable areas and groups of particles on the bed. This is combined with digital particle tracking (DPT) to present a novel approach for monitoring the formation and disintegration of clusters. Clusters from graded gravels are formed successfully during the experimental stage, allowing investigation into the complex dynamic behavior of cluster formation and disintegration in a simulated natural environment. Various anchor stone arrangements are used in the experiments. However, only about one fifth of the potential anchor stones on the bed surface enable cluster formation. In general, clusters classified as “typical” and “heap” are most common. Inspection of temporal cluster coverage of the test‐bed surface shows that the proportion of clusters present on the surface tends to grow with time. Maximum cluster surface coverage of between 5% and 34% is observed. In addition, particles entering and departing from clusters are monitored. Most commonly, particles enter from directly upstream of the cluster, however >20% of particles approach from a direction >20 deg from the streamwise direction. Approximately 35% of all particles directly upstream of a cluster bypass the cluster. Key Points The formation and disintegration of clusters are observed during multiple laboratory experiments A cluster identification tool (CIT) is developed using data obtained through photogrammetry CIT is used to investigate the physical properties of clusters