Developing innovative physics-based and AI models for flooding; 1) a high-performance 2D full flood hydrodynamic model (DFlood) for simulating flood dynamics and associated processes [1, 2, 3]; 2) an innovative AI-based flood model (SwinFlood) for real-time modelling of street-level urban flooding in a super-fast way [4, 5, 6].   

Grants: Smart approach to the prediction and management of coastal flooding in highly urbanised area, RGC-ECS, PI.

Multimode-based rolling prediction of rainstorm-induced urban flooding in real time, Guangdong-Hong Kong-Macau Technology Research Programme (Type C), PI

Exploring fundmental relationships of flooding, urbanization and extreme rainfall in various environments, e.g., how urbanization influences short-duration extreme rainfall [7], how rainfall patterns affect flooding [8], and how to better enhance urban flood hazard assessment by stochastic event catalog [9], etc.

Grant: Effects of non-stationarity and spatiotemporal variability of extreme rainfall on flood responses, RGC-GRF, PI

Assessing flood impacts on critical infrastructures under current and future climate scenarios, such as metro networks, road and railway systems, logistic system, as well as power systems etc., and developing disaster mitigation strategies to boost infrastructure resilience [10, 11].

Grant: Developing strategies to boost resilience of metro systems to extreme flooding in a changing climate, NSFC-RGC Joint Research Scheme, PI

Investigating the use of Blue-Green Infrastructure (BGI) and control strategies to manage stormwater and improve water quality through urban hydrological modelling, field observation and data analysis [12, 13, 14]. 

Grants: Spatial upscaling effects of Blue-Green Infrastructures on urban stormwater runoff. RGC-GRF, PI

Evaluating multi-scale performance of attenuation ponds on stormwater runoff management in subtropical climate. Environment and Conservation Fund Project ref: 108/2019, PI