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    大清河流域水工程防洪协同调度模型研究

    Research on the collaborative scheduling model for flood control of water projects in the Daqing River Basin

    • 摘要: 跨区域防洪调度涉及范围广,水工程众多且相互关系复杂,传统单一的水工程调度无法满足调度需求。提出一种考虑“水库—河道—涵闸—蓄滞洪区”的跨区域水工程协同调度模型,通过将各类型水工程分解为相应的调度模块,局部水工程分别采用规程调度与优化调度的方式求解,通过模块间的协调配合实现多种水工程的协同调度。将模型应用于大清河流域,结果表明:相对于规程调度的方式,利用NSGA-Ⅱ优化算法求解该协同调度模型能显著提升大清河南支四大水库的削峰能力,同时有效降低白洋淀的入淀洪峰流量及最高水位,超标准洪水情景下水位由10.68 m降至9.22 m,并优化了蓄滞洪区的分洪量分配。模型可为提升复杂防洪系统的流域整体防洪效益提供支撑。

       

      Abstract: Cross-regional flood control scheduling involves a wide scope, numerous water projects, and complex interrelationships, making traditional single-project scheduling insufficient to meet operational needs. To address this, this paper proposes a coordinated scheduling model for cross-regional water projects that integrates "reservoirs, rivers, sluice gates, and flood storage and detention areas." By decomposing various types of water projects into corresponding scheduling modules, local water projects are solved using both rule-based scheduling and optimization-based scheduling, with coordination among modules enabling the collaborative operation of multiple water projects. The model is applied to the Daqing River Basin. The results show that, compared with rule-based scheduling, solving the coordinated scheduling model using the NSGA-Ⅱ optimization algorithm significantly improves the peak shaving capacity of the four major reservoirs in the South Branch of the Daqing River, effectively reduces the inflow peak discharge and maximum water level of Baiyangdian Lake, lowers the water level from 10.68 m to 9.22 m under extreme flood scenarios, and optimizes the flood diversion volume allocation among flood storage and detention areas. The model can provide support for improving the overall flood control efficiency of complex flood control systems.

       

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