An integrated model for three-dimensional cohesive sediment transport in storm event and its application on Lianyungang Harbor, China

Yang, Xiaochen; Zhang, Qinghe; Zhang, Jinfeng; Tan, Feng; Wu, Yuru; Zhang, Na; Yang, Hua; Pang, Qixiu

doi:10.1007/s10236-014-0806-6

Cited by 9 publications

(4 citation statements)

References 28 publications

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“…In addition to enabling in situ monitoring of sediment characteristics these data enabled us to infer bottom turbulent shear velocities based on the slope of the concentration and bb700 profiles combined with fall velocities from the mean particle size. These measurements and analyses will be particularly useful in calibrating sediment resuspension and transport models and their associated parameterizations, such as the Community Sediment Transport Model coupled to ROMS (Warner et al 2010;Wu et al 2011), which have been regularly used to study stormdriven sediment resuspension and transport (Warner et al 2008;Ralston et al 2013;Yang et al 2015;Warner et al 2017).…”

Section: Discussionmentioning

confidence: 99%

Sediment resuspension and transport from a glider integrated Laser In Situ Scattering and Transmissometry (LISST) particle analyzer

Miles

Slade

Glenn

2021

Journal of Atmospheric and Oceanic Technology

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Suspended particle size and concentration are critical parameters necessary to understand water quality, sediment dynamics, carbon flux, and ecosystem dynamics among other ocean processes. In this study we detail the integration of a Sequoia Scientific, Inc., Laser In situ Scattering and Transmissometry (LISST) sensor into a Teledyne Webb Research Slocum autonomous underwater glider. These sensors are capable of measuring particle size, concentration, and beam attenuation by particles in size ranges from 1.00 to 500 μm at a resolution of 1 Hz. The combination of these two technologies provides the unique opportunity to measure particle characteristics persistently at specific locations, or survey regional domains from a single profiling sensor. In this study we present the sensor integration framework, detail quality assurance and control (QAQC) procedures, as well as provide a case study of storm driven sediment resuspension and transport. Specifically, Rutgers glider RU28 was deployed with an integrated LISST-Glider for 18 days in September of 2017. During this time period it sampled the nearshore environment off of coastal New Jersey, capturing full water column sediment resuspension during a coastal storm event. A novel method for in situ background corrections is demonstrated and used to mitigate long-term bio-fouling of the sensor windows. Additionally, we present a method for removing Schlieren contaminated time periods utilizing coincident conductivity temperature and depth, fluorometer, and optical backscatter data. The combination of LISST sensors and autonomous platforms has the potential to revolutionize our ability to capture suspended particle characteristics throughout the world’s oceans.

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Section: Discussionmentioning

confidence: 99%

Sediment resuspension and transport from a glider integrated Laser In Situ Scattering and Transmissometry (LISST) particle analyzer

Miles

Slade

Glenn

2021

Journal of Atmospheric and Oceanic Technology

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“…The meteorological data were then interpolated from WRF grids to the Lake Huron computational grids. This approach (using WRF model to drive FVCOM) has been successfully applied in a number of previous studies (Chen et al ; Nakamura et al ; Yang et al ). Prevailing wind directions in the form of wind rose plots are shown in Supporting Information Fig.…”

Section: Methodsmentioning

confidence: 99%

Ice cover, winter circulation, and exchange in Saginaw Bay and Lake Huron

Nguyen

Hawley

Phanikumar

2016

Limnology & Oceanography

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Winter circulation exerts a strong control on the release and timing of nutrients and contaminants from bays into the adjoining lakes. To estimate winter residence times of solutes in the presence of ice cover, we used an ice model coupled to hydrodynamic, thermal and solute transport models of Saginaw Bay and Lake Huron for two low (2010 and 2013) and two high (2009 and 2014) ice years. The models were tested using temperature data from thermistor chains and current data from ADCP moorings deployed during the wintertime. Simulated water temperatures compared favorably to lake‐wide average surface temperatures derived from NOAA's AVHRR satellite imagery. Simulated results of ice cover are in agreement with observed data from the Great Lakes Ice Atlas. Our results indicate that ice cover significantly dampens water movement producing almost stagnant conditions around February. Estimates of residence times for Saginaw Bay (defined as the e‐folding flushing time based on vertically integrated dye concentrations) show that the mean residence times in a low ice year (2013) are 2.2 months for the inner bay, and 3.5 months for the entire bay. The corresponding numbers for a high ice year (2014) are 4.9 and 5.3 months, respectively. Considering the entire bay, solutes stored in the bay can be expected to be released into the lake between March (low ice year) and April (high ice year). These results are expected to aid in understanding the behavior of contaminants in the Great Lakes during the winter months and in early spring.

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“…Up to now, the formulation that has been most widely used is the power law with the number of power = 1, which gives the linear relation between the erosion and stress difference, based on the laboratory results of Ariathurai and Arulanandan [18]. It has been used for suspended sediment transport modeling in conjunction with a number of renowned hydrodynamics models, such as the Regional Ocean Modeling System (ROMS) [4,[19][20][21][22][23][24][25][26][27], Unstructured Tidal, Residual, Intertidal Mudflat (UnTRIM) model [28], and Finite Volume Community Ocean Model (FVCOM) [29,30]. It disregards the erosion of the top fluffy mud layer (i.e., soft bed erosion).…”

Section: Introductionmentioning

confidence: 99%

Stabilized Formulation for Modeling the Erosion/Deposition Flux of Sediment in Circulation/CFD Models

Chou

Shao

Sheng

et al. 2019

Water

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In field-scale modeling, when the resuspension of sediment is modeled using a hydrodynamic model, a standard and common approach is to add a resuspension flux as the bottom boundary condition in the transport model. In this study, we show that the way of simply imposing an empirical bottom erosion formula as the flux is actually unrealistic. Its inability to stabilize the sediment concentration can cause excessive suspension fluxes in some extreme cases. Moreover, we present a modified erosion/deposition formula to model the resuspension of sediment. The formulation is based on volume conservation in the presence of erosion/deposition near the bottom. By taking into account the prescribed dry density of the bed material, the proposed formulation is able to produce realistic near-bed concentrations while ensuring model stability. The formulation is then tested in a one-dimensional vertical model and field modeling cases using a three-dimensional coastal circulation model. We show that the modified formulation is particularly important in modeling mud resuspension subject to the large bottom stress, which can be a result of waves or a strong river discharge.

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An integrated model for three-dimensional cohesive sediment transport in storm event and its application on Lianyungang Harbor, China

Cited by 9 publications

References 28 publications

Sediment resuspension and transport from a glider integrated Laser In Situ Scattering and Transmissometry (LISST) particle analyzer

Sediment resuspension and transport from a glider integrated Laser In Situ Scattering and Transmissometry (LISST) particle analyzer

Ice cover, winter circulation, and exchange in Saginaw Bay and Lake Huron

Stabilized Formulation for Modeling the Erosion/Deposition Flux of Sediment in Circulation/CFD Models

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