应张虎元教授邀请，美国密苏里州林肯大学和密歇根理工大学A/Prof. Fengjing Liu前来我校进行学术交流，期间将举办专题学术报告。
报告题目：Concentration-discharge relationships in small to large catchments in the US West and implications for watershed hydrology
时间：2017年6月10日上午9:00
地点：祁连堂327报告厅
欢迎感兴趣的师生参加。
Fengjing Liu 博士简介：
Fengjing Liu is an Associate Professor at Department of Agriculture & Environmental Sciences at Lincoln University in Missouri. He is now moving to Michigan Technological University. Dr. Liu acquired his PhD in hydrology and biogeochemistry at University of Colorado at Boulder and completed his postdoctoral research at University of California, Merced. His research focuses on watershed hydrology, watershed management, water quality, and biogeochemistry. His recent research projects have been primarily funded by National Institute of Food and Agriculture (NIFA) of US Department of Agriculture. He published over 40 research articles and has been a frequent reviewer for top hydrologic and environmental journals such as Water Resources Research, Environmental Science and Technology, Hydrologic Processes, and Journal of Hydrology.
报告摘要：
Concentration-discharge (C-Q) relationship is a precursor for watershed hydrology. A weak C-Q power-law relationship suggests chemostasis, with chemical concentrations no obvious changes over significant variation in streamflow. However, a strong C-Q power-law relationship indicates a strong conservative mixing of several endmembers with relatively constant solute concentrations in endmembers. In the latter case, the fractional endmember contributions (e.g., surface runoff and baseflow) with streamflow have consistent relationship as C-Q, making it much simpler in estimating endmember contributions and understanding streamflow generation and how climate change affects streamflow. However, how many rivers have a strong C-Q power-law relationship? What can we learn from the difference in the power-law relationship between rising and falling limbs? How can our understanding of climate change effects be improved? This presentation will shed lights on these questions using data from more than 250 rivers across both the Rocky Mountains and Sierra Nevada in the US West.