On the parameters of common settling velocity models for porous sediment aggregates

TL;DR

This paper compares two settling velocity models for porous sediment aggregates, highlighting the importance of permeability in accurately predicting aggregate behavior in various flow conditions.

Contribution

It introduces a comparative analysis of models considering permeability versus neglecting it, demonstrating permeability's significance in complex sediment transport scenarios.

Findings

Both models fit experimental data well for porous aggregates.

Permeability affects settling dynamics in dense and stratified flows.

Considering permeability improves model accuracy in complex environments.

Abstract

The settling behavior of sediment aggregates is a critical factor influencing the transport of fine-grained sediments in riverine and marine environments. Due to the small size and fragile structure of cohesive sediment aggregates, direct measurement of their porosity and permeability is challenging. While porosity is often estimated using settling velocity relations, permeability is frequently overlooked. This study examines the impact of considering non-negligible permeability on the properties of flocs. We compare aggregate properties by calibrating experimental data to two settling models in a dilute regime: one assumes a fractal structure of aggregates and neglects permeability, while the other assumes constant porosity and permeability. Our results demonstrate that both models describe the experimental data of highly porous aggregates with similar accuracy. We further investigate aggregate dynamics in more complex flow conditions using numerical simulations employing a volume penalization method to geometrically resolve flocs. We compare the behavior of permeable and impermeable flocs in dense suspension regimes and during dilute settling in density-stratified environments. Our findings reveal that permeability significantly influences settling dynamics in complex scenarios and should be considered when determining aggregate properties.