报告题目一：德拉华流域洪水的空间分析 （Spatial Characterization of Flood Magnitudes over the Drainage Network of the Delaware River Basin）
报告人：路平
报告时间：2019年03月11日上午9:00

报告地点：地理科学馆411会议室
报告人简介：
    路平，清华大学地球系统科学系博士后。2012年于清华大学环境学院获得工学学士学位，2018年于普林斯顿大学市政与环境工程系水资源方向获得哲学博士学位。2018年至今在清华大学地学系做博士后，主要研究兴趣为台风降雨模拟、洪水的空间分布与灾害足迹，并在Journal of Hydrometeorology 和Journal of the Atmospheric Sciences 上发表文章。

报告题目二：Climate change impacts on stream temperature in regulated river systems: A case study in Southeastern United States
报告人：Yifan Cheng
报告时间：2019年03月11日上午10:00

报告地点：地理科学馆411会议室
报告人简介：
    Yifan Cheng is currently a 4th year PhD student in the Department of Civil and Environmental Engineering at University of Washington, Seattle. He received his bachelor’s degree in Hydraulic Engineering in 2015 from Tsinghua University. He currently works on an interdisciplinary project funded by Natural Science Foundation, Water and Energy Infrastructure in the Southeast-Approaches to Resilient Interdependent Systems under Climate Change. He works on evaluating the resilience of regulated river system on water availability and stream temperature under climate change.
Brief introduction: Stream temperature will potentially increase under climate change, which will put great threats to power sectors. Deep reservoirs are thermally stratified during warm seasons, with a warmer top epilimnion and a colder bottom hypolimnion. To maximize hydro power production, water tends to be released from bottom layer, having a cold impact on downstream river temperatures. Most macroscale stream temperature models did not consider thermal stratification because it’s computationally intensive. We developed a two-layer thermal stratification module and fully coupled it into a distributed stream temperature model to capture the impacts of thermal stratification. In this talk, I will introduce a physically based model framework to simulate regulated stream temperature considering thermal stratification. I will also present projected climate impacts on stream temperature and its uncertainties based on an ensemble model runs of 40 future scenarios.

陆地水循环及地表过程院重点实验室