丁伟
Associate Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Academic Titles:无
Gender:Female
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:水利工程学院
Discipline:Hydrology and Water Resources
Business Address:综合实验4号楼411
Contact Information:
E-Mail:
Hits:
Date:2019-03-12
Indexed by:Journal Article
Date of Publication:2017-03-01
Journal:WATER RESOURCES RESEARCH
Included Journals:Scopus、EI、SCIE
Volume:53
Issue:3
Page Number:1963-1981
ISSN:0043-1397
Key Words:reservoir operation; flood control; water conservation; forecast uncertainty; acceptable flood risk; decision makers' preference
Abstract:Flood water conservation can be beneficial for water uses especially in areas with water stress but also can pose additional flood risk. The potential of flood water conservation is affected by many factors, especially decision makers' preference for water conservation and reservoir inflow forecast uncertainty. This paper discusses the individual and joint effects of these two factors on the trade-off between flood control and water conservation, using a multiobjective, two-stage reservoir optimal operation model. It is shown that hedging between current water conservation and future flood control exists only when forecast uncertainty or decision makers' preference is within a certain range, beyond which, hedging is trivial and the multiobjective optimization problem is reduced to a single objective problem with either flood control or water conservation. Different types of hedging rules are identified with different levels of flood water conservation preference, forecast uncertainties, acceptable flood risk, and reservoir storage capacity. Critical values of decision preference (represented by a weight) and inflow forecast uncertainty (represented by standard deviation) are identified. These inform reservoir managers with a feasible range of their preference to water conservation and thresholds of forecast uncertainty, specifying possible water conservation within the thresholds. The analysis also provides inputs for setting up an optimization model by providing the range of objective weights and the choice of hedging rule types. A case study is conducted to illustrate the concepts and analyses.
丁伟,副教授,博导,长期从事流域水资源管理研究,主持国家自然科学基金项目青年基金1项、面上项目1项,“十三五”国家重点研发计划子课题1项、“十四五”国家重点研发计划子课题1项,作为技术骨干参与了国家自然科学基金重点项目、国际合作重点项目等多项课题。
发表SCI/EI论文30余篇,其中水文水资源领域顶级期刊《Water Resources Research》4篇(均为1作/通讯)、ASCE百年旗舰期刊《Journal of Water Resources Planning and Management》 4篇(3篇为1作/通讯);授权国家发明专利4项、国际发明专利1项,且有1项实现百万成果转化;出版专著2部;获2019年辽宁省科技进步一等奖、2016年教育部科技进步一等奖、2021年大坝工程学会科技进步奖一等奖1项。