Numerical Investigation of Dissolved Oxygen Transportation through a Coupled SWE and Streeter–Phelps Model

Wu, Jiaxin; Yu, Xiaoxiang

doi:10.1155/2021/6663696

Cited by 6 publications

(6 citation statements)

References 37 publications

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“…When the river channel is narrowed, the river flow velocity becomes larger and the degree of S DO increases accordingly. Wu and Yu (2021) study also found that abrupt channel expansion would enhance the self‐purification ability of rivers. In summary, the self‐purification capacity of water bodies at the Weihe–Yellow River confluence shows the following spatial distribution pattern: The self‐purification capacity of water bodies on both sides of the river is stronger than that in the middle of the river, the self‐purification capacity of the upper Weihe River is stronger than that of the upper Yellow River, and the self‐purification capacity downstream of the confluence is stronger than that upstream.…”

Section: Resultsmentioning

confidence: 92%

Hydrodynamic and dissolved oxygen–biochemical oxygen demand transport characteristics at the river confluence in China's largest alluvial plain—A modeling study

Shen,

Wang,

et al. 2023

J American Water Resour Assoc

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The Yellow River flows through multiple provinces in China, shaping the North China Plain, the largest alluvial plain in China. As the control node of basin ecological environment, the confluence of Weihe River and Yellow River is deemed as the gateway to North China Plain. In this study, a numerical simulation of the Weihe River–Yellow River confluence is conducted using a 2D hydrodynamic model and a coupled transport model for dissolved oxygen–biochemical oxygen demand. The results show that: (i) The typical flow field with multiple backflow areas is formed at the stagnant area where main stream and tributary converge and abrupt channel change area in different hydrological periods. The spur dike here mainly affects the velocity of the Weihe River outlet. (ii) There is an obvious concentration transition mixing zone downstream of the confluence, and the width of the mixing zone gradually linear increases with the direction of water flow. (iii) The self‐purification ability of the confluence is strongest in dry period, weaker in level period, and weakest in wet period. Water bodies have stronger self‐purification capacity on riverbanks than in the middle, and it is stronger in the upper reaches of Weihe River compared to Yellow River. Lower reaches also have a stronger self‐purification capacity than upper reaches. The study results can serve as a scientific reference for protecting the ecological environment of the Yellow River.

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Section: Resultsmentioning

confidence: 92%

Hydrodynamic and dissolved oxygen–biochemical oxygen demand transport characteristics at the river confluence in China's largest alluvial plain—A modeling study

Shen,

Wang,

et al. 2023

J American Water Resour Assoc

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“…Where, DO concentrations are an important index for quantifying the water quality (WQ) of water bodies. Moreover, the level of DO reflects the ecological balance in water, decomposition of organic matter and breathing of aquatic ecosystem [2].…”

Section: Introductionmentioning

confidence: 99%

Quantitative study for the effect of water velocity on water quality change

Assar¹

2023

EJOSAT

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Atmospheric reaeration process plays a key role in degradation of organic matter and self-purification processes affecting dissolved oxygen (DO) concentrations in rivers and streams. Moreover, water quality (WQ) processes can be highly dependent on flow velocity conditions. Where, highly reaeration rates are positively correlated with high flow velocity. Therefore, the present work reports deep insights on the role of flow velocity with reaeration process in the concentration of DO and biochemical oxygen demand (BOD5). This study was applied along the largest agricultural drainage water reuse project, El-Salam Canal in Egypt. The hydrodynamic (HD) characteristics and WQ parameters (DO and BOD5) along the canal were simulated using a one-dimensional HD and WQ model (MIKE 11). The simulated results indicated that the canal was deteriorated towards El-Salam Canal after mixing with El-Serw and Bahr Hadous drains. Statistical regression fitted line and Pearson correlation analysis, were performed on the simulation results of the reaeration rates with flow velocity and WQ values, indicating a significant correlation. Accordingly, water velocity should be taken into account as a key factor for describing the WQ change.

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“…Traditionally, physically based models are used for DO prediction (Radwan et al, 2003;Wu and Yu, 2021). The models generally use advection and dispersion theories to simulate the biological and chemical processes in water for DO prediction.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Radwan et al (2003) used Mike11 for modeling DO in river water. Wu and Yu (2021) used a modified version of the Streeter-Phelps model coupled with the shallow water equation model to simulate mass transportation and DO distribution. The studies indicated the need for a large amount of data and computational time to predict DO reliability.…”

Section: Introductionmentioning

confidence: 99%

A novel hybridized neuro-fuzzy model with an optimal input combination for dissolved oxygen estimation

Maroufpoor

Sammen

Al‐Ansari

et al. 2022

Front. Environ. Sci.

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Dissolved oxygen (DO) is one of the main prerequisites to protect amphibian biological systems and to support powerful administration choices. This research investigated the applicability of Shannon’s entropy theory and correlation in obtaining the combination of the optimum inputs, and then the abstracted input variables were used to develop three novel intelligent hybrid models, namely, NF-GWO (neuro-fuzzy with grey wolf optimizer), NF-SC (subtractive clustering), and NF-FCM (fuzzy c-mean), for estimation of DO concentration. Seven different input combinations of water quality variables, including water temperature (TE), specific conductivity (SC), turbidity (Tu), and pH, were used to develop the prediction models at two stations in California. The performance of proposed models for DO estimation was assessed using statistical metrics and visual interpretation. The results revealed the better performance of NF-GWO for all input combinations than other models where its performance was improved by 24.2–66.2% and 14.9–31.2% in terms of CC (correlation coefficient) and WI (Willmott index) compared to standalone NF for different input combinations. Additionally, the MAE (mean absolute error) and RMSE (root mean absolute error) of the NF model were reduced using the NF-GWO model by 9.9–46.0% and 8.9–47.5%, respectively. Therefore, NF-GWO with all water quality variables as input can be considered the optimal model for predicting DO concentration of the two stations. In contrast, NF-SC performed worst for most of the input combinations. The violin plot of NF-GWO-predicted DO was found most similar to the violin plot of observed data. The dissimilarity with the observed violin was found high for the NF-FCM model. Therefore, this study promotes the hybrid intelligence models to predict DO concentration accurately and resolve complex hydro-environmental problems.

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Numerical Investigation of Dissolved Oxygen Transportation through a Coupled SWE and Streeter–Phelps Model

Cited by 6 publications

References 37 publications

Hydrodynamic and dissolved oxygen–biochemical oxygen demand transport characteristics at the river confluence in China's largest alluvial plain—A modeling study

Hydrodynamic and dissolved oxygen–biochemical oxygen demand transport characteristics at the river confluence in China's largest alluvial plain—A modeling study

Quantitative study for the effect of water velocity on water quality change

A novel hybridized neuro-fuzzy model with an optimal input combination for dissolved oxygen estimation

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