Can water release from local reservoirs cope with the droughts of downstream lake in a large river-lake system?

Li, Xianghu; Ye, Xuchun; Yuan, Canyu; Xu, Chengyu

doi:10.1016/j.jhydrol.2023.130172

Cited by 12 publications

(7 citation statements)

References 60 publications

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“…The water level of Xingzi station may even surpass 22.0 m, with a matching lake area of almost 4000 km 2 . In a few typical years, the lake level drops below 8.0 m, and the lake area minimizes to smaller than 1000 km 2 (Li et al., 2023). Its area has a subtropical monsoon climate with annual precipitation averaging 1400–1900 mm and temperatures averaging 16.7–17.7°C (Mu et al., 2020).…”

Section: Methodsmentioning

confidence: 99%

Effects of different hydrological conditions on the taxonomic structure and functional traits of mollusk communities in a large floodplain wetland

Zhang,

Datry,

Zhang

et al. 2024

Ecology and Evolution

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Floodplain wetlands are critical to the conservation of aquatic biodiversity and the ecological integrity of river networks. However, increasing drought severity and frequency caused by climate change can reduce floodplain wetlands' resistance and recovery capacities. Mollusks, which are common inhabitants of floodplain wetlands, are among the most vulnerable species to drought. However, the response of mollusk communities to drought has received little attention. Here, we investigated how the structure and functional traits of mollusk communities changed in response to varying hydrological conditions, including a flash drought (FD) in the Poyang Lake floodplain wetland. Our findings showed that FD strongly reduced mollusk abundance and biomass, decreased both α‐ and β‐diversity, and resulted in the extinction of bivalve taxa. A sudden shift in community trait structure was discovered due to the extinction of many species. These traits, which include deposit feeding, crawling, scraping, aerial respiration, and dormancy, help mollusks survive in FD and tolerate completely dry out of their Changhuchi habitat. Finally, we discovered that dissolved oxygen was an important controlling variable for mollusk communities during drought. Our findings provide a scientific basis for the management and conservation of floodplain wetland biodiversity in the context of increasing drought frequency and intensity.

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Section: Methodsmentioning

confidence: 99%

Effects of different hydrological conditions on the taxonomic structure and functional traits of mollusk communities in a large floodplain wetland

Zhang,

Datry,

Zhang

et al. 2024

Ecology and Evolution

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“…The loss function of the network can be denoted as Equation (6). When extended to a multi-layer network, the output of each layer of the network as show in Equation (7). According to the principle of the chain rule, the gradient of the 𝑖th layer can be deduced as represented in Equation (8).…”

Section: F Feature Combinationmentioning

confidence: 99%

“…To solve this problem, the residual block is introduced, as shown in the Conv block and Identity block on the right side of Figure 6. In essence, the transformation modifies the output layer from 𝐻(𝑥) = 𝐹(𝑥) to 𝐻(𝑥) = 𝐹(𝑥) + 𝑥, the forward propagation transitioning from Equation (7) to Equation ( 9) and the backpropagation transitioning from Equation (8) to Equation (10). Therefore, despite the increasing depth of the network, the issue of vanishing gradients is avoided.…”

Section: F Feature Combinationmentioning

confidence: 99%

“…They existence provides irreplaceable value in maintaining ecological balance, mitigating climate change, and offering recreational areas for humans [6]. In contrast, artificial water-body, like man-made lakes and reservoirs, primarily function to store and transport water resources, ensuring basic water needs for human living and agricultural production during drought periods [7]. Additionally, they play a crucial role in flood control and power generation [8].…”

Section: Introductionmentioning

confidence: 99%

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Water-Body Type Classification in Dual PolSAR Imagery Using a Two-Step Deep-Learning Method

Yuan,

Lu,

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Water-body type classification plays a vital role in ecological conservation, water resource management, and urban planning. Accurate classification can aid decision-makers in understanding the functions of different water-body types, providing key information for urban planning and promoting harmony between human activities and the natural environment. Despite extensive research in the field of water-body segmentation, exploration in the water-body type classification community is not as widespread. Therefore, this article proposes a novel water-body type classification method based on a two-step deep learning model, decomposing water-body type classification into waterbody segmentation and water-body type identification. Especially, this method constructs a unique data strategy by organically integrating backscatter features, polarimetric features, and DEM features, providing the model with rich and comprehensive information. In the first step, the segmentation network uses the fused feature to extract all water-body from Synthetic Aperture Radar (SAR) images. Subsequently, the extracted water-body are combined with the input data, forming a multi-feature input for the identification network to distinguish between natural and artificial water-body. During this process, a swarm intelligence optimization algorithm is employed to explore the optimal hyperparameters of the network, including those of the segmentation and identification networks. Finally, the proposed method is assessed using extensive experiments on water-body segmentation tasks, water-body type identification tasks, and joint water-body type classification tasks. This article not only provides a new perspective in the field of water-body type classification but also demonstrates the immense potential of deep learning network hyperparameter optimization and feature fusion in solving such problems.

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“…The river channel has dried up year-round, and a large amount of vegetation has grown. These factors complicate the river channel of the Yongding River, and problems emerge, such as significant changes in the shape of the river section, changes in the elevation of the river bottom, increased roughness of the main river channel, as well as blockage of rivers, lakes, and depressions by reservoirs and control projects [11][12][13]. When using the traditional one-dimensional hydrodynamic model, these problems can lessen the accuracy of the model simulation and even stop the model from running [14].…”

Section: Introductionmentioning

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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Can water release from local reservoirs cope with the droughts of downstream lake in a large river-lake system?

Cited by 12 publications

References 60 publications

Effects of different hydrological conditions on the taxonomic structure and functional traits of mollusk communities in a large floodplain wetland

Effects of different hydrological conditions on the taxonomic structure and functional traits of mollusk communities in a large floodplain wetland

Water-Body Type Classification in Dual PolSAR Imagery Using a Two-Step Deep-Learning Method

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

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