Lunch Talk Series by Earth, Ocean and Atmospheric Sciences (EOAS) Thrust, HKUST (GZ) - Multi-scale Seamless Flood Forecasting多尺度无缝隙洪水预报
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Current flood monitoring and forecasting face multiple challenges, including independent predictions of flash floods, river floods, and urban inundation using different models which overlook the highly interlinked hydrological processes and their cumulative effects within the watershed; and the lack of research on the interacting mechanisms of land use change and reservoirs/detention basins on flood processes, and their impacts on the predictability of floods at different lead times. These challenges have resulted in inconsistencies in flood intensity/frequency identification and significant uncertainties in forecasting.
The speaker will discuss his team's research in cross-scale flood modeling, mixed-resolution simulation, and the development of ensemble hydrological simulation and data assimilation for flood forecasting. This includes research and applications in integrating and seamlessly forecasting flash floods, river floods, and urban inundation from local to global scales, employing methods such as statistics, machine learning, and numerical simulations.
针对当前国内外洪水监测预报中存在的不足，如：山洪、江洪和城市内涝采用不同的模型分开预报，忽略了流域内高度耦合的水文过程和叠加效应；土地利用、水库/蓄滞洪区对洪水过程的干扰机制，及对不同预见期洪水可预报性的影响缺乏研究，导致预报洪水强度/频率识别不一致、不确定性大等问题，报告人将分享其团队在跨尺度洪水耦合建模、混合分辨率模拟，通过统计、机器学习与数值模拟结合等方法，建立面向洪水预报的集合水文模拟和数据同化系统， 以及全球至局地的山洪、江洪和城市内涝一体化、无缝隙预报等方面开展的研究和应用。
Wu Huan is a Professor and Ph.D. supervisor at Sun Yat-sen University. He is recognized through the National "Ten Thousand Talents Program" and selected as a member of the National "Overseas Talents" program. Additionally, he is Deputy Director at the Guangdong Provincial Key Laboratory of Climate Change and Natural Disaster Studies and leads the Extreme Hydrology and Meteorology Numerical Simulation Team at Sun Yat-sen University. He earned his Ph.D. from the School of Earth and Space Sciences at Peking University in 2007. From 2008 to 2016, Prof. Wu worked at esteemed institutions such as the University of Montana, NASA, and the University of Maryland. During this period, he held significant roles, including Chief Scientist for NASA's Earth Science and Disaster Program, and led projects such as the Global Precipitation Program and the Energy and Water Cycle Program.
Prof. Wu's research focuses on hydro-meteorology and multi-scale flood process simulation and forecasting. He independently developed the DRIVE flood model and the GHS-F real-time flood monitoring and forecasting system. The DRIVE model has been internationally recognized as a milestone in global flood model development. Currently, he serves as the Vice Chair of the Global Flood Partnership (GFP) Leadership Committee and holds positions as an Associate Editor for prestigious international journals, including the Journal of Hydrometeorology, Remote Sensing, Frontiers in Big Data (Climate), and the Journal of Tropical Meteorology. Prof. Wu is an expert in natural disaster assessment for the Emergency Management Department of the People's Republic of China. He is also a member of the China Committee on Water Resources Remote Sensing and the CNC-IAHS Land-Atmosphere Relations Subcommittee.
吴欢，中山大学教授、博导，国家“万人计划”科技创新领军人才、 国家“海外高层次人才”入选者，广东省气候变化和自然灾害重点实验室副主任，中山大学极端水文气象数值模拟团队负责人。2007 年获北京大学地球与空间科学学院博士学位，2008-2016 年，先后在美国蒙大拿大学、美国宇航局（NASA）和马里兰大学工作，担任 NASA地球科学与灾害计划, 全球降水计划、能量与水循环计划等项目首席。长期从事水文气象学和多尺度洪水过程模拟和预报研究，自主研发了 DRIVE 洪水模式，以及全球至局地尺度洪水实时监测与预报系统 GHS-F，DRIVE 模式在国际上被评价为全球洪水模式发展的里程碑之一。现担任全球洪水合作伙伴（GFP）领导委员会副主席，Journal of Hydrometeorology，Remote Sensing, Frontiers in Big Data (Climate), Journal of Tropical Meteorology等国际期刊副编辑、中华人民共和国应急管理部自然灾害核查专家、中国水利遥感委员会委员、CNC-IAHS 陆气关系分委会委员等。
As this is a lunch seminar, refreshments will be provided. All are welcome.
For any inquiries, please feel free to contact Monica Zhong at (86) 8833-2802 or via email at monicamz@hkust-gz.edu.cn.