117th Sogo Bosai seminar (Sep 3)

We are pleased to announce the 117th Sogo Bosai Seminar (Sep 3, Thursday).

The seminar will be held in English and hybrid mode.
 
[Date & Time]

Sep 3, Thursday, 13:30-14:50

[Venue]

E417D of Main building, Uji campus and Online
Please make a registration from the following link by Sep 2 (Wed) for online participants.
 

Online Registration Form：https://forms.gle/9WrStDvxWuLteBRw8

[Speaker]
Dr. David Hyndman
Dean, School of Natural Sciences and Mathematics
Francis S. and Maurine G. Johnson Distinguished University Chair

[Title]

Hydro-Climatic Extremes: Integrated Modeling Solutions for Modern Flood Hazards

[Abstract]

Flood prediction is challenging, especially in regions undergoing rapid urbanization and climate change Such predictions require models that can accurately and rapidly simulate floods even in regions with significant shifts in land use and climate. Fully-distributed process-based hydrological models accurately represent a range of hydrologic processes, but are often too computationally prohibitive for real-time applications. This research aims to eventually bridge the gap between physical consistency and computational efficiency by developing physics-informed Deep Learning (DL) frameworks. The models are tested in the Texas Hill Country, which recently experienced a devastating flash flood, and the Upper Trinity Basin that includes the rapidly urbanizing Dallas-Fort Worth (DFW) Metroplex. High-resolution dynamic input features, including climate forcing and dynamic land-use patterns, are integrated to train and validate physics-informed DL models for each study area. The primary objectives are to capture localized extremes using high-resolution forcing, to represent land cover as a dynamic physical constraint, and to maintain spatial connectivity in ungauged basins. Our goal is to develop a physics-informed DL framework that can deliver high-resolution, interpretable, and reliable predictions that significantly reduce computational demands compared to traditional simulations.

[Biography]

Dr. David Hyndman is a hydrologist with over 30 years of experience as a researcher, educator and academic administrator.  Since 2021, he has served as Dean of the School of Natural Sciences and Mathematics at The University of Texas at Dallas. Before joining UT Dallas, Dr. Hyndman was professor and chair of the Department of Earth and Environmental Sciences in the College of Natural Science at Michigan State University. He earned his undergraduate degree in hydrology and water resources from the University of Arizona and his MS and PhD degrees in hydrogeology from Stanford University. He was the Darcy Distinguished lecturer in 2002 and is a fellow of the AAAS and Geological Society of America.
His research focuses on quantifying the impacts of human activities, such as climate and land-use change, on the water cycle, with particular attention to strategies that support sustainable agriculture and water resource management.