Improved Tidal and Non-Tidal Representation of Numerical Models through Data Model Integration
Created by W.Langdon from
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- @PhdThesis{Kurniawan:thesis,
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author = "Alamsyah Kurniawan",
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title = "Improved Tidal and Non-Tidal Representation of
Numerical Models through Data Model Integration",
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school = "National University of Singapore",
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year = "2013",
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address = "Singapore",
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keywords = "genetic algorithms, genetic programming, tidal and
non-tidal, Singapore regional waters, hydrodynamic
modelling, data model integration, data relationship
analysis, data-driven modelling",
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URL = "http://www.scholarbank.nus.edu.sg/handle/10635/50814",
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URL = "http://www.scholarbank.nus.edu.sg/handle/10635/3.pdf",
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size = "202 pages",
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abstract = "The strategic importance of Singapore regional waters
(SRW) has led to numerous studies to understand the
physical processes that drive, and are driven, by the
hydrodynamics in the SRW. However, due to geo-political
realities and its highly complex tidal and non-tidal
variation, relatively few studies encompass the region
as a whole. The main objective of the research
presented in this thesis is to understand, examine and
develop effective and efficient methods to improve
tidal and non-tidal representation in SRW through data
model integration (DMI) approach. In conclusion,
several techniques of DMI have been successfully
developed and implemented to improve hydrodynamic
numerical model performance and to better understand
(i) the behaviour of the tide in the region and its
sensitivities to changes in tidal boundary forcing and
to local depth and friction variation in the narrow
regions of the Malacca Strait (ii) the physics of the
non-tidal barotropic water levels, currents and their
forcing mechanisms for the highly complex Singapore
regional waters and (iii) the feasibility of applying
mutual information theory and genetic programming as an
offline data driven modelling tool to capture the
non-tidal barotropic dynamics and then using them for
updating the numerical model prediction in real time
applications.",
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notes = "Supervisor: Vladan Babovic",
- }
Genetic Programming entries for
Alamsyah Kurniawan
Citations