By integrating a one-dimensional hydrodynamic and sediment transport model with the Non-Dominated Sorting Genetic Algorithm III (NSGA-Ⅲ), an optimization scheduling model for water, sediment, and
The Xiaolangdi (XLD) Reservoir stands as a pivotal reservoir for the water–sediment regulation and power generation in the Yellow River Basin.
Based on the general situation of water storage and reservoir engineering in the Yellow River Basin, this paper establishes a mid and long-term dual-objective and three-objective reservoir
The Xiaolangdi plant is a Hydro power plant located in 🇨🇳 China. Xiaolangdi has a peak capacity of 1800.0 MW which is generated by Hydro. The power plant was commissioned in 2000 and started energy
As the controlling reservoir that possesses a large storage capacity in Yellow River, the operation of Xiaolangdi Reservoir (XLD) is of great importance to the reservoir maintenance and the downstream
Considering the integrated economical profit of power generation and sediment discharge, an operation model of XLD was established by coupling the calculations of water-sediment balances with the
By taking the cascade reservoirs, Xiaolangdi and Xixiayuan reservoir in the lower Yellow River as case study, a multi-objective operation model solved by ICGC-NSGA-II method is built,
Fig. 4 | Annual and monthly energy generation and sedimentation of the Xiaolangdi Reservoir from 2002 to 2019 under scenarios with and without ecological restoration, and comparison of their...
After Xiaolengdi reservoir was first put into use, it has subsequently played a significant role in flood control, ice flood control, sediment reduction, irrigation and power generation, etc.
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