Digital Twins for Coastal Resilience under Extreme Storm Surges in Hong Kong

  • Zhao, Jidong (Primary Chief Investigator (PCI))
  • Zhang, Limin (Chief Investigator (CI))
  • Su, Hui (Chief Investigator (CI))
  • Cheng, Jack (Chief Investigator (CI))
  • Lu, Mengqian (Chief Investigator (CI))
  • Yang, Can (Chief Investigator (CI))
  • Fu, Lin (Chief Investigator (CI))
  • Qu, Huamin (Chief Investigator (CI))
  • Su, Quanke (Chief Investigator (CI))
  • Huang, Bo (Chief Investigator (CI))
  • Yin, Zhenyu (Chief Investigator (CI))
  • Stocchino, Alessandro (Chief Investigator (CI))
  • Bui, Ha Hong (Chief Investigator (CI))

Project: Research

Project Details

Project Description

Coastal cities, such as Hong Kong, are increasingly vulnerable to extreme weather events, particularly typhoons, due to climate change. These events pose significant challenges to both coastal infrastructure and nearshore biodiversity. For instance, Super Typhoon Mangkhut caused direct economic losses of
about HK$ 4.60 billion in Hong Kong in 2018, damaging coastal structures and leading to severe inundation and flooding. This joint university-industry project aims to develop a next-generation digital twin coast to support the sustainable and resilient development of coastal areas in Hong Kong.
The platform will leverage state-of-the-art technologies and tools, integrate big data from various sources, and develop digital and computational approaches to enable accurate prediction and informed decisions on hazard resiliency design and interventions under extreme storm surges. The project consists of four major tasks: creating an adaptive resolution Digital Coast for Hong Kong, developing high-resolution models of wave-coast interactions, constructing digital twins of
Hong Kong Coast, and implementing an empowered early warning and lean management system. The digital coast will be built at the city scale, with real-time sensing data used to monitor its dynamic states, including coastal winds and waves. High-resolution digital models will be created for specific
vulnerable areas such as the airport, STWs, harbors, and low-lying areas.
The project will propose physics-enabled multiscale modeling frameworks to simulate wave-coast interactions, from city coast-scale wave propagation to local erosion in dikes and overtopping impact on inland structures. These frameworks will be enhanced by deep learning to provide prompt responses to the real-time digital coast, forming unique physics-simulation-based digital twins of Hong Kong Coast. Computer graphics engines will be proposed to present real-time visualization of comprehensive surge hazard maps, including dike stability, wave overtopping, inundation, and flooding. The project outcomes will provide state-of-the-art techniques to enhance the resilience and sustainability of coastal
cities against extreme storm surges. This is essential in evaluating and improving coastal resilience for major cities such as Hong Kong.
StatusActive
Effective start/end date1/01/2531/12/29