异重流过程的梯级水库优化调度研究

多泥沙河流上的梯级水库建成后,水库异重流过程就具备了人为可控的条件.相比其他人工干预的输沙方式,异重流具备优良的输沙特性,因此调度部门可以通过水库梯级调度的手段控制异重流的产生和发展,实现防渗、减淤、排沙、调节下游河道等综合利用目标.本文通过研究黄河小浪底水库建成以来的异重流排沙过程和调度方案,建立了适于不同目标和预案的异重流过程梯级水库联合调度模型,并利用BP神经网络对模型求解.最后通过算例对2006年的人工塑造异重流调度过程进行了模拟和优化.结果表明,该模型可以反映调度过程中主要指标的相互关系,对异重流调度的决策有一定的支持作用.

Study on optimal operation of cascade reservoirs for density current process

Density current process will be controlled artificially under the condition that the cascade reservoirs are built in heavy sediment-containing rivers. Comparing with the other intervened sediment modes, density current has eminent characteristics. So the operation department can achieve the goals such as against seeping, reducing storage lost, discharging sediment and regulating downstream riverway, by means of cascade reservoirs operation to control the emergence and development of density current. The process of discharging sediment of density current in Xiaolangdi reservoir is studied and the model of cascade reservoirs optimal operation of density current is established. The model is suitable for various goals and schedules, and it can be solved by BP artificial neural network. Finally, the model is used for simulation and optimization of artificial density current process in 2006. The results indicate that the model can reflect the correlation of main indexes in the operation process and support for the decision-making of the density current operation.