Network of Experimental Catchments for Understanding Runoff Formation and Flood Risk
This project helps Singapore better understand how rainwater moves through the environment, supporting more precise flood-risk assessments as the climate changes.
Research Goals
- Establish a network of experimental catchments to study how runoff forms across Singapore.
- Combine field observations with advanced physics-based and machine-learning hydrological models to improve understanding of runoff generation and enhance the accuracy of flood-risk assessments.
- Assess how well Singapore’s current drainage infrastructure performs under future climate and urbanisation scenarios.
Why This Matters
- Build better hydrological models to predict flooding and test potential mitigation options.
- Study how rainfall turns into runoff in Singapore’s urban environment to inform smarter drainage and flood-control solutions.
- Analyse future inland flood risks as the climate changes to support resilient planning and infrastructure development.
Latest Research Highlights
In this project, we are building a network of experimental catchments in different parts of the Singapore to study how rainfall might lead to flood risk. In these catchments we measure variables like rainfall, water flows in drain, and how wet the soil is. By studying this data, we are planning to build better models to simulate hydrological processes and predict floods.
Meet the Team
Meet the team behind the Network of experimental catchments for understanding runoff formation and flood risk project.
Principal Investigator (PI):
Professor Simone Fatichi
National University of Singapore
Research Fellow (RF):
Dr. Zuzana Drillet
National University of Singapore
Co-Principal Investigator (Co-PI):
Professor Vladan
Babovic
National University of Singapore
Research Associate (RA):
Ms. Aurelie Bironne
National University of Singapore
Co-Principal Investigator (Co-PI):
Dr. Ooi Seng Keat
National University of Singapore
Research Fellow (RF):
Dr. Nikunj Kalubhai Mangukiya
National University of Singapore
Research Fellow (RF):
Dr. Zhaoyang Luo
National University of Singapore
More Projects from the H2 Domain
Discover research initiatives under the Monitoring, Prediction and Digitalisation of Coastal Environment domain that harness data and digital technologies to enhance Singapore’s resilience to sea-level rise, extreme weather, and coastal flooding.
Download CFI's project booklet for more information on each project
CFI Singapore Tranche 1 and 2
If you wish to reach out regarding a specific project, please email CFI Singapore at cfisg@nus.edu.sg