张弛

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 副校长、党委常委

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:建设工程学院

学科:水文学及水资源. 人工智能. 计算机应用技术. 软件工程

办公地点:综合实验4号楼 411室

联系方式:0411-84708900

电子邮箱:czhang@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

An analytical framework for flood water conservation considering forecast uncertainty and acceptable risk

点击次数:

论文类型:期刊论文

发表时间:2015-06-01

发表刊物:WATER RESOURCES RESEARCH

收录刊物:SCIE、EI、Scopus

卷号:51

期号:6

页面范围:4702-4726

ISSN号:0043-1397

关键字:reservoir operation; flood control; water conservation; forecast uncertainty; acceptable risk; residual flood conveyance capacity

摘要:This paper addresses how much flood water can be conserved for use after the flood season through the operation of reservoir by taking into account the residual flood control capacity (the difference between flood conveyance capacity and the expected inflow in a lead time). A two-stage model for dynamic control of the flood-limited water level (the maximum allowed water level during the flood season, DC-FLWL) is established considering forecast uncertainty and acceptable flood risk. It is found that DC-FLWL is applicable when the reservoir inflow ranges from small to medium levels of the historical records, while both forecast uncertainty and acceptable risk in the downstream affect the feasible space of DC-FLWL. As forecast uncertainty increases (under a given risk level) or as acceptable risk level decreases (under a given forecast uncertainty level), the minimum required safety margin for flood control increases, and the chance for DC-FLWL decreases. The derived hedging rules from the modeling framework illustrate either the dominant role of water conservation or flood control or the trade-off between the two objectives under different levels of forecast uncertainty and acceptable risk. These rules may provide useful guidelines for conserving water from flood, especially in the area with heavy water stress. The analysis is illustrated via a case study with a real-world reservoir in northeastern China.