Flood Suspended Sediment Transport: Combined Modelling from Dilute to Hyper-Concentrated Flow

Abstract

During flooding, the suspended sediment transport usually experiences a wide-range of dilute to hyper-concentrated suspended sediment transport depending on the local flow and ground conditions. This paper assesses the distribution of sediment for a variety of hyper-concentrated and dilute flows. Due to the differences between hyper-concentrated and dilute flows, a linear-power coupled model is proposed to integrate these considerations. A parameterised method combining the sediment size, Rouse number, mean concentration, and flow depth parameters has been used for modelling the sediment profile. The accuracy of the proposed model has been verified against the reported laboratory measurements and comparison with other published analytical methods. The proposed method has been shown to effectively compute the concentration profile for a wide range of suspended sediment conditions from hyper-concentrated to dilute flows. Detailed comparisons reveal that the proposed model calculates the dilute profile with good correspondence to the measured data and other modelling results from literature. For the hyper-concentrated profile, a clear division of lower (bed-load) to upper layer (suspended-load) transport can be observed in the measured data. Using the proposed model, the transitional point from this lower to upper layer transport can be calculated precisely.

Experimental Study on the Characteristics of Sediment Transport and Sorting in Pressurized Pipes

“…From the perspective of solid-liquid two-phase flow, some authors have established a two-phase flow model to explore the characteristics of water-sediment movement and analyze the distribution law of the sediment concentration profile [19]. For example, Pu et al [20] proposed a linear-power couple model combining the sediment size, Rouse number, mean concentration and flow depth parameters to model the sediment profile due to the differences between hyperconcentrated and dilute flows. Liang et al [21] proposed a mixture model for sediment-laden flows based on Eulerian-Eulerian two-phase flow theory, and the calculation speed can be effectively improved while maintaining the calculation accuracy.…”

Numerical investigation of flow field around T-shaped spur dyke in a reverse-meandering channel

“…The flow in a river bend or meandering channel is highly turbulent and stormy due to continuous change in curvature of banks and high topography irregularities (Pu et al 2020(Pu et al , 2021. The flow pattern in a curved channel consists of spiral flow between river bed and water surface, transverse rotational flow generated by the centrifugal force in bend, secondary flow, and so on (Pandey et al 2018a, 2018b, Singh et al 2019.…”

Multi-station artificial intelligence based ensemble modeling of suspended sediment load

“…2009) which are usually categorized into three main groups including, physical-based, conceptual, and black-box models (Nourani & Mano 2007). Conceptual and physical models deal with equations and rules involved in the phenomenon and could be beneficial in gaining knowledge of the process but they have their limitations and complexities (Li 1979;Asselman 1999;Xu 2002;John et al 2021;Pu et al 2021). The main obstacle for physical-based and conceptual models is that these models require high-resolution and high-quality data of flow and sediment which are not often accessible (Sivakumar 2006) and in case of direct measurement of these data, aside from its high expenses, any subtle error may affect the modeling results.…”