多分汊河道枢纽工程群适应性生态调控研究OA
Adaptive Ecological Regulation of Hydraulic Engineering Complexes in Multi-Branched River Systems
探究动态来水条件下调控工程的下泄流量及4支分流比,分层确立赣江尾闾生态调控目标,为枢纽工程调度下水生态环境协调发展提供支撑.以赣江尾闾多分汊河道为研究对象,基于1974-2020年外洲水文站长系列流量资料及赣江尾闾枢纽工程群运行资料,选取8月—次年3月作为典型情景设计时段,对外洲站月流量进行经验频率分析,按月分别选取20%、50%和90%保证率对应的流量表征丰水、平水和枯水工况,共构建24种典型调度情景.在此基础上,依据分汊河道不同时段和不同层次的生态需求,量化自然分流比偏离度最小、水环境达标程度最大、水华暴发风险最小的多目标体系;并综合考虑枢纽工程群供水、航运等经济社会效益,构建适应多分汊河道时空差异性生态需求的多目标生态调度模型;采用第三代非支配排序遗传算法(NSGA-Ⅲ)对模型进行求解,并结合纳什议价法进行多目标决策,优选出不同情景下生态调度的均衡方案.结果表明,赣江尾闾4支生态分流调控具有明显的月份差异和来流条件差异,单一固定分流比难以满足调控期内多重生态需求.自然分流比维持目标与水质改善、水华防控目标之间存在权衡关系,而水质改善与水华防控目标具有一定协同性.基于纳什议价法优选的均衡方案能够较好地协调不同生态目标,方案建议8-10月应适当提高中支和南支分流比例,11月—次年3月应重点协调自然分流比维持与南支水质保障.上游来流量较大时,各支生态和水环境需求更容易满足,优化方案对中支、南支的额外配水需求减弱,4支分流格局逐渐向自然状态回归.但枯水条件下,即使提高南支分流比,受总来流量约束,南支水质改善压力依然突出.
In this study,the multi-branch channel system in the tailwater area of Ganjiang River was se-lected for study.We investigated the regulation of flow discharge and the diversion ratios among four branches under dynamic inflow conditions and established ecological regulation targets for the tailwater area on a stratified basis.We aimed to provide support for the coordinated development and protection of aquatic ecosystems with the operation of a hub project.The study was based on long-term flow data from the Waizhou hydrological station(1974-2020)and operational data from the hydraulic engineering com-plexes in the Ganjiang River system,and August to March of the following year was selected as the sce-nario design period.An empirical frequency analysis,was conducted on the monthly discharge data from the Waizhou station and discharge values corresponding to 20%,50%and 90%of guaranteed levels were selected for each of the 8 months to represent low-flow,normal-flow and high-flow conditions,resulting in 24 discharge scenarios.On this basis,according to the ecological demands of the braided river channel in different periods and at different levels,a multi-objective system was quantified to minimize the devia-tion from the natural flow diversion ratio,maximize the degree of water environment compliance,and minimize the risk of algal blooms.By considering the comprehensive economic and social benefits of the hub project,such as water supply and navigation,a multi-objective ecological regulation model adapted to the spatiotemporal differentiated ecological demands of the multi-braided river channel was constructed.A third-generation non-dominated sorting genetic algorithm(NSGA-Ⅲ)was used to solve the model and the Nash bargaining method was combined for multi-objective decision-making to identify the optimal equilibrium solutions for ecological scheduling under each scenario.Regulation of ecological diversion across the four branches of the Ganjiang River tailwater exhibited significant monthly variations and different inflow conditions,and a single fixed diversion ratio was insufficient to meet the multiple ecologi-cal demands during the regulation period.There was a trade-off between the objective of maintaining the natural diversion ratio and the objectives of water quality improvement and algal bloom control,while water quality improvement and algal bloom control were compatible.The equilibrium solutions optimized with the Nash bargaining method effectively coordinated the different ecological objectives,suggesting to increase the diversion ratio for the Central and Southern branches from August to October and to prior-itize the coordination between maintaining the natural diversion ratio and ensuring water quality in the Southern branch from November to March of the following year.When upstream inflow is substantial,the ecological and water environmental needs of each branch are more easily met,and the optimized plan re-duces the need for additional water allocation to the Middle and South Branches,and the water diversion pattern across the four branches gradually returns to its natural state.However,under low-flow conditions,even if the diversion ratio for the South Branch is increased,the pressure to improve water quality in the South Branch remained due to the limited total inflow.
陈新月;张培培;王梨娜;毛劲乔
河海大学水利水电学院,江苏 南京 210098河海大学水利水电学院,江苏 南京 210098河海大学水利水电学院,江苏 南京 210098河海大学水利水电学院,江苏 南京 210098
建筑与水利
多分汊河道多目标生态调度第三代非支配排序遗传算法纳什议价
multi-branched river systemmulti-objectiveecological regulationthird-generation non-dominated sorting genetic algorithm(NSGA-Ⅲ)Nash bargaining method
《水生态学杂志》 2026 (6)
23-37,15
教育部基础学科和交叉学科突破计划(JYB2025XD XM907)中央高校基本科研业务费项目(B240201103)国家自然科学基金青年基金(52109013).
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