A new technology for suspended sediment simulation in Lake Taihu, China: Combination of hydrodynamic modeling and remote sensing

Zhang, Zhuo; Huang, Changchun; Guo, Fang; Song, Zhiyao; Hu, Di

doi:10.4081/jlimnol.2019.1813

Cited by 4 publications

(6 citation statements)

References 36 publications

(41 reference statements)

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“…Based on simulations of the Taihu Lake flow field and the chlorophyll a concentration, we performed parameter this finding is consistent with existing research results (Pang et al, 2006;Zhang et al, 2019).…”

Section: Model Parameter Calibrationsupporting

confidence: 89%

“…And the flow field of the top and bottom layers simulated by the model are visualized. The model simulation results show that the Taihu Lake flow field displays obvious double‐layer structure characteristics, and the bottom velocity field is not consistent with the direction of the top flow field, except in certain areas (Figure 7); this finding is consistent with existing research results (Pang et al., 2006; Zhang et al., 2019).…”

Section: Data Assimilation Experimentssupporting

confidence: 85%

“…By assuming that the water body being studied is a homogeneous and incompressible fluid, a hydrostatic pressure distribution can be assumed in the vertical direction, and dynamic changes in temperature and salinity are not considered. The three‐dimensional shallow water wave equations are the continuity equation, the momentum equation, and the free surface equation (Chen et al, 2006; Zhang, Huang, Guo, Song, & Hu, 2019):

\frac{\partial u}{\partial t} + u \frac{\partial u}{\partial x} + v \frac{\partial u}{\partial y} + w \frac{\partial u}{\partial z} ‐ f v = ‐ \frac{1}{ρ_{o}} \frac{\partial P}{\partial x} + \frac{\partial}{\partial z} ()(, K_{m} \frac{\partial u}{\partial z}) + F_{u}

\frac{\partial v}{\partial t} + u \frac{\partial v}{\partial x} + v \frac{\partial v}{\partial y} + w \frac{\partial v}{\partial z} + f u = ‐ \frac{1}{ρ_{o}} \frac{\partial P}{\partial y} + \frac{\partial}{\partial z} ()(, K_{m} \frac{\partial v}{\partial z}) + F_{v}

\frac{\partial u}{\partial x} + \frac{\partial v}{\partial y} + \frac{\partial w}{\partial z} = 0

where

x

y

and

z

are the east, north and vertical axes in the Cartesian coordinate system, respectively;

u

v

and

w

are the velocity components in the

x

y

and

z

directions, respectively;

T

is temperature;

S

is salinity;

ρ

is density;

…”

Section: Integrated Model and Methodsmentioning

confidence: 99%

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Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

Guo

Yang

Zhang

et al. 2021

Transactions in GIS

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Chlorophyll a concentration is an important parameter for the characterization of water quality and reflects the degree of eutrophication and the algae content in water bodies. Based on the idea of integrating models, data and visualization to build virtual geographic environments (VGEs), this article proposes a data assimilation scheme based on particle filters to assimilate the concentration of chlorophyll a in a VGE. The VGE is based on a modular concept to design function plugins and perform water quality assimilation simulations and GIS visualization. We conducted assimilation experiments using buoy observation data and forecast chlorophyll a concentrations. During the assimilation stage, the root mean square error and average relative error are notably reduced. The assimilation results indicate that the proposed data assimilation method can significantly improve accuracy in the prediction of chlorophyll a concentrations. An assimilation case study indicates that the VGE can be effectively used in water environment pollution and dynamic process simulations.

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Section: Model Parameter Calibrationsupporting

confidence: 89%

Section: Data Assimilation Experimentssupporting

confidence: 85%

\frac{\partial u}{\partial t} + u \frac{\partial u}{\partial x} + v \frac{\partial u}{\partial y} + w \frac{\partial u}{\partial z} ‐ f v = ‐ \frac{1}{ρ_{o}} \frac{\partial P}{\partial x} + \frac{\partial}{\partial z} ()(, K_{m} \frac{\partial u}{\partial z}) + F_{u}

\frac{\partial v}{\partial t} + u \frac{\partial v}{\partial x} + v \frac{\partial v}{\partial y} + w \frac{\partial v}{\partial z} + f u = ‐ \frac{1}{ρ_{o}} \frac{\partial P}{\partial y} + \frac{\partial}{\partial z} ()(, K_{m} \frac{\partial v}{\partial z}) + F_{v}

\frac{\partial u}{\partial x} + \frac{\partial v}{\partial y} + \frac{\partial w}{\partial z} = 0

where

x

y

and

z

are the east, north and vertical axes in the Cartesian coordinate system, respectively;

u

v

and

w

are the velocity components in the

x

y

and

z

directions, respectively;

T

is temperature;

S

is salinity;

ρ

is density;

…”

Section: Integrated Model and Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

Guo

Yang

Zhang

et al. 2021

Transactions in GIS

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“…The main influencing factors of inland lake water environments include suspended sediments, plankton and dissolved organic matter. As one of the most important factors affecting the water environment, suspended sediments are the carriers of various pollutant migration and interaction (Wu et al, 2012;Wei et al, 2019;Zhang et al, 2016Zhang et al, , 2019. Because of the obvious effect of wind and wave on sediments, suspended matter is easy to appear resuspension, which provides the living environments for algae and promotes their growth.…”

Section: Introductionmentioning

confidence: 99%

“…Then, this phenomenon in turn will led to frequent outbreaks of algal blooms. Especially when the concentration of suspended sediment is too high, the light attenuation will cause the death of aquatic plants and cause great ecological damage and water pollution (Wu et al, 2012;Zhang et al, 2019). Therefore, the simulation and prediction of suspended sediment concentration is one of the key issues in the study of water environments of inland lakes.…”

Section: Introductionmentioning

confidence: 99%

An Assimilation Simulation Approach for the Suspended Sediment Concentration in Inland Lakes Using a Hybrid Perturbation Generation Method

Guo

Zhang

Zhu

et al. 2021

Water Resour Manage

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Suspended sediments, as one of the most important factors affecting the water environment of inland lakes, are closely related to the various pollutants migration and interaction. Thus, the simulation and prediction of suspended sediment concentration is important. Existing studies show that the prediction accuracy of suspended sediment concentration can be effective predicted based on assimilation methods coupled with hydrodynamic models. However, in the process of assimilation of hydrological simulation, the existing perturbation generation methods consider that the perturbation error is a random Gaussian distribution, which does not consider the spatial variation characteristics of errors. In this paper, a new method to generate the perturbation field for assimilation simulation was proposed. This method uses hybrid error to generate perturbation field for assimilation simulation instead of using random error. The proposed approach was validated through its application to assimilation simulation of suspended sediment concentration of Taihu Lake in China, and five assimilation experiments was conducted. The proposed method was compared with existing methods for perturbation field generation. After three days and 72 time steps of assimilation simulation based on hybrid perturbation generation, we found that the proposed assimilation method provided results that were more consistent with buoymeasured data. The accuracy of the two assimilation methods based on hybrid perturbation is improved. Compared with the assimilation method based on random perturbation, the mean values of RMSE(root mean square error) decreased from 9.56 to 8.70 and from 9.55 to 8.68, respectively. The results show that the proposed hybrid perturbation generation method has higher simulation accuracy than other methods.This study shows that the method is effective and provides a new idea for the assimilation simulation of suspended sediment concentration in inland lakes.

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Synchronism of sediment erosion and deposition processes during high-turbidity events in a large shallow lake

Sheng

Chen

et al. 2023

Journal of Hydrology

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A new technology for suspended sediment simulation in Lake Taihu, China: Combination of hydrodynamic modeling and remote sensing

Cited by 4 publications

References 36 publications

Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

Research on assimilation simulation of chlorophyll a concentrations in a virtual geographic environment

An Assimilation Simulation Approach for the Suspended Sediment Concentration in Inland Lakes Using a Hybrid Perturbation Generation Method

Synchronism of sediment erosion and deposition processes during high-turbidity events in a large shallow lake

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