- author = "Serene Hui Xin Tay",
- title = "Comprehensive framework for hydrodynamic modelling and prediction of Singapore regional water",
- school = "National University of Singapore",
- year = "2015",
- address = "Singapore",
- month = "11 " # may,
- keywords = "genetic algorithms, genetic programming, hydrodynamic, model, Singapore, Malacca Strait, tide",
-
URL = "
http://www.scholarbank.nus.edu.sg/handle/10635/119622",
-
URL = "
http://www.scholarbank.nus.edu.sg/bitstream/handle/10635/119622/TaySHX.pdf",
- size = "276 pages",
- abstract = "he main objective of the research presented in this thesis is to understand the hydrodynamics in Singapore regional waters and develop a comprehensive framework that involves both modelling and data assimilation approaches to effectively and efficiently deliver accurate hydrodynamic hindcast and forecast. In conclusion, separate modelling approaches are developed and implemented to cater for accurate hindcast and forecast computations, through better understanding of (i) tidal behaviour in the region through multiple domains modelling, (ii) non-tidal phenomenon, such as the seasonal water level variation in the Malacca Strait, (iii) uncertainty characterization of model prediction, and (iv) use of genetic programming as a model residual correction tool to improve model prediction in the forecasting mode.",
-
notes = "Singapore-Delft Water Alliance (SDWA)
Supervisor: Vladan Babovic",
