Improving streamflow simulation in Dongting Lake Basin by coupling hydrological and hydrodynamic models and considering water yields in data-scarce areas

Long, Yuannan; Chen, Wenwu; Jiang, Changbo; Huang, Zhiyong; Yan, Shixiong; Wen, Xiaofeng

doi:10.1016/j.ejrh.2023.101420

Cited by 4 publications

(2 citation statements)

References 52 publications

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“…When setting the Mike21 model boundary conditions, it is generally accepted that the upstream boundary with inflow data and water level data as the downstream boundary condition could yield a more convergent and stable model 38 . The upstream boundary condition for model validation was the 2019 day-by-day inflow data at the Fourth Rubber Dam section of the Bai River, and the downstream boundary condition was the 2019 day-by-day outflow monitoring water level at the Shangfanying section of the Bai River.…”

Section: Model Boundary Conditionsmentioning

confidence: 99%

Impact on urban river water quality and pollution control of water environmental management projects based on SMS-Mike21 coupled simulation

Wei,

Rao,

Liu

et al. 2024

Sci Rep

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To explore the impact of expanding Nanyang Sewage Purification Center (NSPC) on the main sewage discharge area of Bai River, we constructed a 2D hydrodynamic-water quality model based on surface water modeling system (SMS) and Mike21. Simulating three sewage discharge conditions in wet, normal, and dry season, we evaluated three indicators (COD, NH3-N, and BOD5) by the single-factor pollution index and provided recommendations for water environment management. The results showed that, maximum absolute error of water level was 0.08 m, percentage bias coefficient of COD, NH3-N and BOD5 were 19.3%, 16.2% and 23.1%, indicating the SMS and Mike21 coupling model was applicable; water quality of the assessment section were upgraded from the original class IV, V, V (Condition 1) to class IV, III, II (Condition 2) and class IV, III, III (Condition 3) in the wet, normal and dry season, indicating that NSPC's expansion had improved the water quality of the assessment section; as the primary pollutant, BOD5 concentration in the downstream was lower than the upstream, which was due to the dilution effect of river. Therefore, on the basis of expanding NSPC, we recommend to remediation of BOD5 by physical, chemical, and biological methods. This study broadens new ideas for the application of Mike21, and provide a reference for the prevention and improvement of river water pollution in urban areas.

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Section: Model Boundary Conditionsmentioning

confidence: 99%

Impact on urban river water quality and pollution control of water environmental management projects based on SMS-Mike21 coupled simulation

Wei,

Rao,

Liu

et al. 2024

Sci Rep

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“…The effectiveness of the model in the simulation of complex river head evolution was verified by the spring centralised water replenishment data of the Yongding River, which showed that the model can accurately and effectively deal with complex river channel flow movements involving control engineering, lakes, and gravel pits. According to the different regions of the river, different sectional roughness and sectional infiltration [26,27] were set up, which effectively improved the simulation accuracy of the one-dimensional hydrodynamic model in complex river channels.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Application of One-Dimensional Hydrodynamic Coupling Model in Complex River Channels: Taking the Yongding River as an Example

Lv,

Kong,

Chuo

et al. 2024

Water

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River conditions are complex and affected by human activities. Various hydraulic structures change the longitudinal slope and cross-sectional shape of the riverbed, which has a significant impact on the simulation of water-head evolution. With continuous population growth, the hydrological characteristics of the Yongding River Basin have undergone significant changes. Too little or too much water discharge may be insufficient to meet downstream ecological needs or lead to the wastage of water resources, respectively. It is necessary to consider whether the total flow in each key section can achieve the expected value under different discharge flows. Therefore, a reliable computer model is needed to simulate the evolution of the water head and changes in the water level and flow under different flow rates to achieve efficient water resource allocation. A one-dimensional hydrodynamic coupling model based on the Saint-Venant equations was established for the Yongding River Basin. Different coupling methods were employed to calibrate the coupling model parameters, using centralised water replenishment data for the autumn of 2022, and the simulation results were verified using centralised water replenishment data for the spring of 2023. The maximum error of the water-head arrival time between different river sections was 4 h, and the maximum error of the water-head arrival time from the Guanting Reservoir to each key cross-section was 6 h. The maximum flow error was less than 5 m3/s, and the changing trend of the flow over time was consistent with the measured data. The model effectively solved the problem of low accuracy of the water level and flow calculation results when using the traditional one-dimensional hydrodynamic model to simulate the flow movement of complex river channels in the Yongding River. The output results of the model include the time when the water head arrives at the key section, the change process of the water level and flow of each section, the change process of the water storage of lakes and gravel pits, and the change process of the total flow and water surface area of the key section. This paper reports data that support the development of an ecological water compensation scheme for the Yongding River.

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Evaluating Factors Affecting Flood Susceptibility in the Yangtze River Delta Using Machine Learning Methods

Zhu,

Wang,

Lai

et al. 2024

Int J Disaster Risk Sci

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Floods are widespread and dangerous natural hazards worldwide. It is essential to grasp the causes of floods to mitigate their severe effects on people and society. The key drivers of flood susceptibility in rapidly urbanizing areas can vary depending on the specific context and require further investigation. This research developed an index system comprising 10 indicators associated with factors and environments that lead to disasters, and used machine learning methods to assess flood susceptibility. The core urban area of the Yangtze River Delta served as a case study. Four scenarios depicting separate and combined effects of climate change and human activity were evaluated using data from various periods, to measure the spatial variability in flood susceptibility. The findings demonstrate that the extreme gradient boosting model outperformed the decision tree, support vector machine, and stacked models in evaluating flood susceptibility. Both climate change and human activity were found to act as catalysts for flooding in the region. Areas with increasing susceptibility were mainly distributed to the northwest and southeast of Taihu Lake. Areas with increased flood susceptibility caused by climate change were significantly larger than those caused by human activity, indicating that climate change was the dominant factor influencing flood susceptibility in the region. By comparing the relationship between the indicators and flood susceptibility, the rising intensity and frequency of extreme precipitation as well as an increase in impervious surface areas were identified as important reasons of heightened flood susceptibility in the Yangtze River Delta region. This study emphasized the significance of formulating adaptive strategies to enhance flood control capabilities to cope with the changing environment.

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Improving streamflow simulation in Dongting Lake Basin by coupling hydrological and hydrodynamic models and considering water yields in data-scarce areas

Cited by 4 publications

References 52 publications

Impact on urban river water quality and pollution control of water environmental management projects based on SMS-Mike21 coupled simulation

Impact on urban river water quality and pollution control of water environmental management projects based on SMS-Mike21 coupled simulation

Application of One-Dimensional Hydrodynamic Coupling Model in Complex River Channels: Taking the Yongding River as an Example

Evaluating Factors Affecting Flood Susceptibility in the Yangtze River Delta Using Machine Learning Methods

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