首页|黄河中下游水资源多目标利益对古贤水库运行的响应

黄河中下游水资源多目标利益对古贤水库运行的响应

扫码查看
原文链接
  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
为量化未来古贤水库参与黄河中下游梯级水库群联合运行对供水、发电、调水调沙、生态多 目标关键利益及非关键利益的影响,设置2030水平年有古贤水库及无古贤水库两种情景,基于梯级水库群多目标协同优化调度理论构建黄河中下游梯级水库群多 目标协同优化调度模型,通过求解模型分析了径流减少及未来综合需水增加的背景下,黄河中下游多 目标利益对古贤水库参与联合运行的响应关系.结果表明:与无古贤水库情景相比,有古贤水库情景下水库群调度系统总协同度略微增加,供水与发电子系统有序度有所增加,农业关键期、非关键期多年平均缺水量减少,水库群多年平均发电量增加;除调沙频率略微下降外,有古贤水库情景下输沙、生态目标关键利益及非关键利益均有所提升.
Response of water resources multi-objective interests in middle-lower Yellow River to Guxian Reservoir operation
In order to quantify the impact of the Guxian Reservoir s participation in the joint operation ot cascade reservoirs on key and non-key multi-objective benefits,including water supply,power generation,water-sediment regulation and ecology,in the middle-lower Yellow River,two scenarios with and without the Guxian Reservoir in 2030 were set.Based on the theory of multi-objective synergetic optimal operation of cascade reservoirs,the multi-objective synergetic optimal operation model by cascade reservoirs in the middle-lower Yellow River was constructed and solved.The response of multi-objective benefits in the middle-lower Yellow River to the joint operation of the Guxian Reservoir under the background of runoff reduction and comprehensive water demand growth in the future was analyzed.The results show that,compared with the scenario without the Guxian Reservoir,the total synergetic degree of the reservoir system with the Guxian Reservoir operation increased slightly,the order degree of subsystems of water supply and power generation increased,the average annual water shortage in the critical period and non-critical period of agriculture decreased,the average annual power generation of cascade reservoirs increased.In addition to a slight decrease in the frequency of water-sediment regulation,the key and non-key benefits of ecology and water-sediment regulation increased in the scenario with the Guxian Reservoir.

cascade reservoirssynergetic optimal operationmulti-objective benefitsparticle swarm optimizationYellow River BasinGuxian Reservoir

金文婷、王义民、畅建霞、王学斌

展开 >

安康学院旅游与资源环境学院,陕西安康 725000

西安理工大学省部共建西北旱区生态水利国家重点实验室,陕西西安 710048

梯级水库群 协同优化调度 多目标利益 粒子群算法 黄河流域 古贤水库

安康学院高层次人才科研启动项目陕西省科协青年人才托举计划项目国家自然科学基金项目国家自然科学基金项目

2022AYQDZR0920230445U1965202U2003204

2024

10.3880/j.issn.1006-7647.2024.01.008

水利水电科技进展
河海大学

水利水电科技进展

CSTPCD北大核心
影响因子：0.866
ISSN：1006-7647
年,卷(期)：2024.44(1)
  • 1
  • 12