Registration

Coffee and tea will be available.

Professor Adrian Law, Executive Director, CFI Singapore

Ms Hazel Khoo, Director, Coastal Protection Department

PUB, Singapore’s National Water Agency

President & Chair Professor Joseph Hun-wei Lee

Macau Environmental Research Institute

Faculty of Innovation Engineering (FIE)

Macau University of Science and Technology

Abstract 

We have been witnessing the global impacts of climate change (CC) in recent years: floods and droughts, mean sea level rise, forest fires and heatwaves, and other natural extremes are now more the rule than the exception.  And climate change affects ecosystems in curious and unexpected ways.  Effective adaptation to climate change poses many engineering challenges. Innovation and technology have an important role to play in addressing these challenges – in particular enhancing the coastal resilience in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA).

Drawing on my experience in Hong Kong and Macao, I will use several examples to illustrate several aspects of CC adaption: (i) importance of climate change as a global issue in US-China dialogue; (ii) urban flood management through engineering innovation in Hong Kong; (iii) digital twin of coastal flooding for Macao; and (iv) AI-based monitoring and forecasting of Harmful Algal Blooms (HAB) for fisheries management in the GBA.  The research challenges and opportunities for international collaboration are highlighted.

CFI Singapore Project Principal Investigators

Presentation 1: Development of probability distributions and extreme value analysis for storm surge levels, currents, wind waves and astronomic tides

Principal Investigator: Dr Pavel Tkalich, NUS/TMSI

Presentation 2: Hybrid physics-guided and data-driven attribution and uncertainty quantification of coastal extremes incorporating different sources of information

Principal Investigator: Associate Prof Low Ying Min, NUS

Presentation 3: Development of physics-informed data-driven storm surge and wave models

Principal Investigator: Associate Prof Victor Wang, SIT

Presentation 4: Enhancements of Singapore’s convective rainfall prediction

Principal Investigator: Professor Simone Fatichi, NUS

*Horizontal Core Research Domains:

H1: Coastal Science Research aims to inform the design of futureproof coastal structures by developing reliable design parameters that anticipate the impacts of climate change on coastal

and rainfall processes.

H2: Monitoring, Prediction and Digitalization of Coastal Environment domain focuses on harnessing big data and machine-learning models to improve predictive systems for coastal and inland water events, enhancing accuracy of weather forecasts and bolstering early warning systems for emergency response.

Principal Investigators from CFI Singapore (Horizontal Core Research Domain)

Moderator: Associate Professor Raymond Ong, Director (Operations), CFI Singapore

CFI Singapore Project Principal Investigators 

Presentation 1: Flexible seawall for coastal reservoir and coastal defense systems in Singapore

Principal Investigator: Professor Chu Jian, NTU

Presentation 2: Modular solutions to retrofit existing coastal protection structures with Impervious interlocking features which reduce seawater seepage​

Principal Investigator: Assistant Professor Chew Soon Hoe, NUS

** Vertical Core Research Domain, V1 : Innovative Engineering Solutions. V1 focuses on developing novel coastal defence structures, emphasising adaptive, multi-functional and modular designs that integrate into existing infrastructure. This domain area aims to enhance resilience, minimise land use and establish new local design standards tailored to specific coastal dynamics and flood risks.

A segment to commemorate the efforts of collaboration between CFI Singapore and industry partners to engage and explore shared goals and initiatives.

Dr Liong Shie-Yui, Advisor to CFI Singapore

Abstract

Dynamically downscaled climate model data are particularly of interest to detect changes in the projected future climate. The standard operating procedure in climate downscaling is to first compare the quality of downscaled model results for the present climate with the observed climate data. The presentation demonstrates the significance of projected present climate (20x20km spatial resolution), e.g. precipitation, for many places, such as in South-east Asia, where high temporal and accurate rainfall data are often not available or poorly observed. The Intensity-Duration-Frequency (IDF) curves are first derived from the proxy/projected rainfall data required for flood simulation studies. Presented also the IDF curves of Singapore used for comparison; flood simulations for Jakarta are demonstrated as well. The presentation also briefly discusses how a machine learning technique, Artificial Neural Networks, was used to derive the much-needed high resolution DEM, cost-effectively and accurately, from freely accessible satellite data for flood simulation of Jakarta.

Presentation 1: Shore protection with integrated nature-based solutions – Meta

Presenter: Dr Lo Bi Wei, NUS

Presentation 2: Shore protection with integrated nature-based solutions – Hydro

Principal Investigator: Assistant Professor Gary Lei, NUS

Presentation 3: Shore protection with integrated nature-based solutions – Eco

Principal Investigator: Assistant Professor Gary Lei, NUS

***Vertical Core Research Domain, V2: Integrated Nature-based Solutions. V2 leverages nature-based approaches to create robust, resilient hybrid solutions for coastal protection, which involves developing guidelines so they can be implemented, maintained and monitored over the long term.

Panelists:

CFI Singapore Principal Investigators (Vertical Domain)

 Moderator: Professor CG Koh

Director (Research)

CFI Singapore

Professor CG Koh, Director (Research), CFI Singapore