H2-P5 MAPPING WAVES AND WATER LEVELS IN REAL TIME

Real-Time Monitoring of Spatial Distribution of Nearshore Hydrodynamics through Multi-Modal Sensor Fusion

This project aims to develop a reliable and scalable monitoring framework that fuses underwater acoustic sensing, shore-based LiDAR and reference measurements to reconstruct a replicable reference model that would continuously monitor nearshore waves and water levels across space and time.

Floating buoys and single-point underwater instruments cover only small areas and are costly to maintain. Without a real-time picture across the nearshore zone, it is harder to anticipate hazardous events, understand the impact of waves’ on coastal structures, and gauge maintenance costs effectively.

Research Approach

  • A modular monitoring network will combine acoustic modems,
    seabed acoustic Doppler current profilers, nearshore receivers,
    shore-mounted LiDAR and point buoys.
  • Propagation modelling, inversion, distributed data fusion and
    AI will estimate wave heights and water levels in real time,
    transmit important events efficiently and indicate confidence in
    each estimate.
  • Validation will progress from controlled wave-tank tests to
    larger wave-basin experiments and field deployments in
    Singapore, alongside an end-to-end pipeline for sensing,
    processing, visualisation and standardised data access.

Why This Matters

  • Provides high-resolution, real-time awareness of nearshore conditions across a wider area.
  • Supports situational awareness and informs coastal planning and day-to-day operational decisions.
  • Helps agencies to evaluate coastal-defence performance, prioritise maintenance and plan long-term resilience investments.
  • Establishes a replicable model for continuous coastal monitoring in other locations.

Meet the Team

Meet the team behind the Real-Time Monitoring of Spatial Distribution of Nearshore Hydrodynamics through Multi-Modal Sensor Fusion project.

D1_1245_Professor Xunyuan Yin

Principal Investigator (PI):

Assistant Professor Yin Xunyuan
Nanyang Technological University, School of Chemistry, Chemical Engineering and Biotechnology
Nanyang Environment & Water Research Institute (NEWRI)

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