In the past century, major efforts have been devoted to the modelling of flood inundation and tsunamis leading to continuous improvement in the field. The modelling, however, remains challenging due to the complex nature of river-floodplain systems. Advances have been achieved through improving modelling structures and algorithms, data assimilation, integrating remote sensing technologies, combining different modelling approaches, and utilising cutting-edge computing science, such as machine learning and cloud computing. Another aspect of advancement is the quantitative estimates of uncertainty associated with the model simulation and prediction. These advances have led to practical applications in risk mapping, damage assessment, real-time forecasting, hydraulic structure design, river and coastal restoration, water resources planning, as well as having served as an important prerequisite to support other relevant decision making.
This session invites papers dealing with various aspects of advances in flood and tsunami modelling such as:
Key topics: Flood, Tsunami, Hydrodynamic modelling, Remote sensing