Linking hydrological connectivity to sustainable watershed management in the Loess Plateau of China

Yu, Yang; Feng, Juanlong; Liu, Hu; Wu, Chin‐Chun; Zhang, Jianjun; Wang, Z.; Чан, Лю; Zhao, Jiongchang; Rodrigo‐Comino, Jesús

doi:10.1016/j.coesh.2023.100493

Cited by 7 publications

(4 citation statements)

References 43 publications

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“…), while adjusting the coupling mode of these models to improve their interconnectedness, flexibility, and convenience is crucial. Realising the parallel calculation of a single time step, and constructing a general model suitable for hydrodynamic simulation of different river basins are key directions for future investigation [28,29].…”

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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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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“…IWM became a widely recognised strategy since it considers hydrology and recognises the interdependence of biophysical, socioeconomic, and socio-institutional aspects (Yu et al 2023). The approach aims to achieve sustainable management by emphasising the proper use and conservation of essential resources like water, soil, and various ecosystem services (Wang et al 2016).…”

Section: Decision-makingmentioning

confidence: 99%

Current Trends and Future Perspectives of Integrated Watershed Management

Vasić,

Caković,

Dragović

et al. 2024

SEEFOR

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The significance of Integrated Watershed Management (IWM) has increased in recent years due to its ecological, economic, and social implications. To align with these principles and achieve efficiency, watershed management necessitates the evaluation and integration of numerous diverse factors. This literature review aims to examine the current research trend in IWM and its association with various thematic elements. The identified thematic elements include water resources management, decision-making processes, agricultural and forested watersheds, soil management, natural hazards, stakeholder involvement, climate change, policy frameworks, cost management and risk analysis, livelihoods, ecosystem services, habitat and biodiversity conservation, and tourism. The predominant thematic elements were water resource management, decision-making, and agricultural and forested watersheds. The countries that were most frequently referred to in the examined literature were Ethiopia, China, the USA, and Iran. A synthesis of data obtained via the analysis of scientific research trends in the specified domain can serve as a basis for the establishment and strategizing of comprehensive watershed management. While it is important to consider all these aspects combined in IWM practice, it is also essential to have a comprehensive grasp of each factor as a vital step in integrating them. The participants involved in this endeavour, hailing from diverse professional backgrounds, must engage in close collaboration to successfully integrate the aforementioned aspects. The collaborative method can only have a chance of success if all participants involved demonstrate a high level of dedication. The level of dedication required should be grounded in a comprehensive understanding of the difficulties and demands that are mutually shared by all involved parties.

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“…The intricate interplay between vegetation and precipitation has gained widespread recognition. Considering the limitations imposed by water availability on ecosystem functioning, precise runoff prediction can facilitate optimal ecological restoration under limited water conditions and serve as a decision-making basis for vegetation restoration in diverse regions [2,3]. During the melting process, substantial amounts of snow-melt runoff enter rivers, potentially leading to flooding.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Factor Combination Model for Medium to Long-Term Runoff Prediction Based on Improved BP Neural Network

Yan,

Gao,

Wen

et al. 2023

Water

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Taking a certain coastal area of Jiangsu province as the research background, this study scientifically predicts the runoff on the medium and long-term time scale according to the changes of various climate factors such as atmospheric circulation, sea surface temperature, and solar activity in the first half of the year. A lag correlation is established between various related climate factors and the monthly runoff process in the research area for the previous 1–6 months. Selecting advantageous factors and constructing a significant factor set. Using the improved BP (Back-Propagation) artificial neural network model and combining it with the sensitivity analysis method, a specific number of 8-factor combinations are selected from the set of significant factors for medium and long-term runoff prediction. After that, the prediction results are compared with the forecasting effects of two multi-factor combination runoff simulation schemes formed by stepwise regression and Spearman rank correlation methods. The study concluded that the multi-factor combination simulation effect formed through sensitivity analysis was the best. The 20% standard forecast qualification rate of the three schemes is not significantly different. The Mean Absolute Relative Error of the multi-factor combination training and validation periods simulated through sensitivity analysis is the smallest among the three schemes, which are 36.61% and 38.01%, respectively. The Nash Efficiency Coefficient in the validation period is 0.45, which is far better than other schemes and has better generalization ability. The Standard Deviation of Relative Error in the training and validation periods is much smaller than other schemes, and the dispersion of relative errors is the smallest.

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Linking hydrological connectivity to sustainable watershed management in the Loess Plateau of China

Cited by 7 publications

References 43 publications

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

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

Current Trends and Future Perspectives of Integrated Watershed Management

A Multi-Factor Combination Model for Medium to Long-Term Runoff Prediction Based on Improved BP Neural Network

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