Analytical Lagrangian Model of Sediment Oxygen Demand and Reaeration Flux Coevolution in Streams

Waterman, David M.; Liu, Xiaofeng; Motta, Davide; García, Marcelo H.

doi:10.1061/(asce)ee.1943-7870.0001095

Cited by 6 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To improve restoration efforts under multiscale environmental changes (such as sea level rise, landscape evolution, and anthropogenic pollution), it is necessary to improve understanding of the underlying mechanisms of sediment transport (Paola et al, 2011;Syvitski et al, 2009;Weston, 2014). In particular, we need to better understand how water, sediment, and vegetation interact in regions with vegetation, to accurately predict suspended sediment concentration (SSC), the evolution of vegetated landscapes, and water quality (e.g., sediment oxygen demand; O 'Connor & Hondzo, 2008;Waterman et al, 2016). Sediment transport has long been an important issue for hydraulic and environmental engineers, which has been widely studied in open-channels (e.g., Garcia, 2008, and references therein).…”

Section: Introductionmentioning

confidence: 99%

A Two‐Layer Turbulence‐Based Model to Predict Suspended Sediment Concentration in Flows With Aquatic Vegetation

Tseng

Tinoco

2021

Geophysical Research Letters

View full text Add to dashboard Cite

Traditional bed shear stress‐based models (e.g., Rouse model) derived from the classic parabolic profile of eddy viscosity in open‐channel flows fail to accurately predict suspended sediment concentration (SSC) in flows with aquatic vegetation. We developed a two‐layer, turbulence‐based model to predict SSC profiles in emergent vegetated flows. Turbulence generated from vegetation, bed, and coherent structures caused by stem‐bed‐flow interaction are considered into the near‐bed turbulent kinetic energy (TKE) to calculate the effective bed shear velocity, ubeff*. The model, validated by experimental data, further showed that the thickness height of the near‐bed layer (effective bottom boundary layer), Hb, varies with flow velocity and canopy density. Two additional models are provided to estimate Hb and ubeff*. The model is expected to provide critical information to future studies on sediment transport, landscape evolution, and water quality management in vegetated streams, wetlands, and estuaries.

show abstract

Section: Introductionmentioning

confidence: 99%

A Two‐Layer Turbulence‐Based Model to Predict Suspended Sediment Concentration in Flows With Aquatic Vegetation

Tseng

Tinoco

2021

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…In low flow rate conditions, bio‐chemical consumption is significant. The diffusible reductant, such as Fe ++ and Mn ++ , existing in the organic sediment consumes DO in the sediment layer at a constant rate (Bouldin, 1968), which balances the physical diffusion rate when there is no suspended sediment in a dynamic equilibrium (e.g., Waterman et al., 2016). In high flow rate conditions, bio‐chemical consumption can be ignored due to its relatively longer reaction time scale compared to the physical diffusion process.…”

Section: Introductionmentioning

confidence: 99%

From Substrate to Surface: A Turbulence‐Based Model for Gas Transfer Across Sediment‐Water‐Air Interfaces in Vegetated Streams

Tseng

Tinoco

2021

Water Resources Research

View full text Add to dashboard Cite

Dissolved Oxygen (DO) is an important indicator for water quality in natural water environments (Kannel et al., 2007;Rudolf et al., 2002;Sanchez et al., 2006). It shows the amount of oxygen available to living aquatic organisms and thus has significant impacts on aquatic ecosystems (Kramer, 1987). DO fluxes at the air-water and sediment-water interfaces (AWI and SWI) govern the DO level in water. For example, in water quality management, surface aeration systems can be installed to enhance the surface gas transfer rate to keep the aquatic system well-aerated and prevent excessive algal blooms. This approach has been widely applied to lakes and rivers with high biological oxygen demand (BOD) by environmental engineers to maintain sufficient water quality to support a functional aquatic ecosystem. On the other hand, DO flux transferring from water to the sediment bed is controlled by the mass transfer and the biochemical uptake in the hyporheic zone, where surface water and shallow ground water mix and exchange nutrients (Boano et al., 2014;Harvey & Gooseff, 2015;Krause et al., 2017). The transfer process controls the biochemical composition of both surface water and ground water systems, which closely depends on the hydrodynamics conditions (S. Grant & Marusic, 2011;M. Heller et al., 2003; Figure 1).

show abstract

“…The dynamics of DO and BOD are described by the well-known Streeter-Phelps Model (SPM) [Streeter and Phelps, 1925;Waterman et al, 2016]. This model has been widely applied to simulate the interaction between DO and BOD in different systems [Chapra, 2008].…”

Section: Streeter-phelps Modelmentioning

confidence: 99%

Innovative framework to simulate the fate and transport of nonconservative constituents in urban combined sewer catchments

Morales

Quijano

Schmidt

et al. 2016

Water Resources Research

View full text Add to dashboard Cite

We have developed a probabilistic model to simulate the fate and transport of nonconservative constituents in urban watersheds. The approach implemented here extends previous studies that rely on the geomorphological instantaneous unit hydrograph concept to include nonconservative constituents. This is implemented with a factor χ that affects the transfer functions and therefore accounts for the loss (gain) of mass associated with the constituent as it travels through the watershed. Using this framework, we developed an analytical solution for the dynamics of dissolved oxygen (DO) and biochemical oxygen demand (BOD) in urban networks based on the Streeter and Phelps model. This model breaks down the catchment into a discreet number of possible flow paths through the system, requiring less data and implementation effort than well‐established deterministic models. Application of the model to one sewer catchment in the Chicago area with available BOD information proved its ability to predict the BOD concentration observed in the measurements. In addition, comparison of the model with a calibrated Storm Water Management Model (SWMM) of another sewer catchment from the Chicago area showed that the model predicted the BOD concentration as well as the widely accepted SWMM. The developed model proved to be a suitable alternative to simulate the fate and transport of constituents in urban catchments with limited and uncertain input data.

show abstract

Analytical Lagrangian Model of Sediment Oxygen Demand and Reaeration Flux Coevolution in Streams

Cited by 6 publications

References 30 publications

A Two‐Layer Turbulence‐Based Model to Predict Suspended Sediment Concentration in Flows With Aquatic Vegetation

A Two‐Layer Turbulence‐Based Model to Predict Suspended Sediment Concentration in Flows With Aquatic Vegetation

From Substrate to Surface: A Turbulence‐Based Model for Gas Transfer Across Sediment‐Water‐Air Interfaces in Vegetated Streams

Innovative framework to simulate the fate and transport of nonconservative constituents in urban combined sewer catchments

Contact Info

Product

Resources

About