• 日方接连就中日关系积极表态 外交部这样回应 2018-05-11
  • 传媒教育拓展方向在哪儿? 2018-05-04
  • 纪念王绍鏊同志诞辰130周年 2018-05-04
  • 清明节假期深圳各口岸迎客流高峰 2018-04-25
  • 新疆阿勒泰迎“龙泰号”旅游专列 2018-04-25
  • Hydrological Prediction and Risk Assessment under Uncertainty

    来源:区域能源系统优化教育部重点实验室发布时间:2018-04-20阅读次数:次

    【讲座题目】Hydrological Prediction and Risk Assessment under Uncertainty

    【讲座时间】2018年4月22日(星期日)上午9:00-11:00

    【讲座地点】北京校部 教四楼B 402

    【主 讲 人】Yurui Fan, Research Fellow, Institute for Energy, Environment and Sustainable Communities, University of Regina,Canada

    【主讲人简介】

    Yurui Fan is a research fellow at the Institute for Energy, Environment and Sustainable Communities, University of Regina. He got his Ph.D degree in Environmental Systems Engineering at the University of Regina. His research mainly focuses on quantitative analyses and modeling of water systems, stochastic process and statistical hydrology, and climate change and adaptation. In the past several years, he has published nearly 60 journal papers, with some of them published on in the leading journals such as Water Resources Research, IEEE Transactions on Fuzzy Systems, Journal of Water Resources Planning and Management (ASCE), Journal of Hydrology, Advances in Water Resources, and Environmental Modelling & Software.

    【内容简介】

    Due to the combined effects of climate change and human activities, watersheds in China are suffering from increasing changes in their hydrological conditions. Such changes, mainly demonstrated through the trends in streamflow and the frequency of extreme events, have caused increasing occurrences of floods and droughts as well as regional water shortage. There is an urgent need to re-examine the capacities of existing hydrological infrastructures in flood control and drought mitigation. This study aims at developing a set of innovative theories and methodologies to improve risk assessment of hydrological engineering design in a changing environment. It will (i) integrate methods of physical and mathematical analysis to identify the key factors that cause uncertainties in hydrological simulation and the interactions between these factors, and (ii) explore the uncertainties in hydrological frequency analysis in terms of sample composition, model type, parameter estimation and their interactions. An integrated risk assessment methodology will be developed, which combines the uncertainty analysis of hydrological frequency calculation and rainfall-runoff simulation and is able to reflect the impacts of environment change. Case studies will be undertaken in the Wei River Watershed in order to (i) identify the key risk incentives under environment change and (ii) evaluate the risk of existing infrastructures as well as the reliability of future designs. The outputs of this project will provide scientific support for the water resources management in China