1st Edition

Development of an Efficient Modelling Approach to Support Economically and Socially Acceptable Flood Risk Reduction in Coastal Cities: Can Tho City, Mekong Delta, Vietnam

By Hieu Quang Ngo Copyright 2022
180 Pages
by CRC Press

180 Pages
by CRC Press

Flooding is one of the most frequently occurring and damaging natural disasters worldwide. Quantitative flood risk management (FRM) in the modern context demands statistically robust approaches (e.g. probabilistic) due to the need to deal with complex uncertainties. However, probabilistic estimates often involve ensemble 2D model runs resulting in large computational costs.Additionally, modern... Read more
Introduction,  Development of an effective modelling approach to support probabilistic flood forecasting in Can Tho city Mekong Delta Vietnam,  Developing probabilistic flood hazard maps for the urban centre of Can Tho city for present day and future,  Assessment of present and future fluvial flood damages and risk for Ninh Kieu district,  Developing and testing an interactive webbased flood risk management tool for co-design with stakeholders,  General Conclusions

Biography

Hieu Quang Ngo was born in Ha Noi, Viet Nam. He obtained his Bachelor’s degree and MSs' degree in Hydraulic Engineering from Water Resources University, Viet Nam (2007 - 2015). Thereafter he worked at the Hydraulic Construction Institute – Vietnam Academy for Water Resources. In this period, he functioned as an engineering designer, researcher and project leader, where he was involved in designing hydraulic engineering works and scientific research related to planning and designing hydraulic structures. In 2015, he was offered a PhD position in IHE Delft, in collaboration with Delft University of Technology. His research interests include: climate change impacts and human activities on flooding in coastal cities; development of efficient modelling systems to support constructing probabilistic flood hazard maps and, further, to support flood risk reduction management in coastal and estuaries cities; development of interactive tools for co-designing of risk reduction measures; remote sensing and GIS applications in flood management; river and coastal flood modelling at global, regional and local scales.