Dissertation
Advances in hydrodynamic modelling of flow in rivers and estuaries using Lagrangian drifter data
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2021
DOI:
https://doi.org/10.25907/00109
Abstract
The major environmental challenges to society, for example, climate change, environmental degradation and the extreme weather effects, require comprehensive information for a resourceful response, including informed decision making related to future actions. Estuaries are especially exposed to the footprints of climate change because alterations in climatic variables that impact freshwater and marine systems will also influence estuaries. While this knowledge is useful, scientists currently lack detailed information on the impact of global change in a diverse range of morphological estuary types across continental and global regions (Scanes et al., 2020). By identifying the processes and attributes responsible for estuary change, the dynamics of estuaries is more accurately predictable around the globe. However, to achieve this goal, two remaining components are needed: (1) a tool for collecting information; and (2) a robust method to elaborate this information. In other words, observations (measurements) support the first component, and the latter component is provided by models. The mechanisms to secure these two avenues of investigation are distinct: observations are directly connected with the system under investigation through measurement devices, while models have an indirect connection with the system, being an expression of measurements and represent an abstraction of reality. To make use of the information incorporated in observations and models, it is essential to understand the characteristics of this information. In particular, the errors and limitations associated with both observations and models. Errors in models are generated through incomplete implementation of the model as well as their imperfect simulation of real world processes. Another basic attribute of observations is that they are spatially and temporally discrete, which results in gaps in the information provided by them. To fill these gaps, it is important to first make observations more complete, with better spatial coverage, and hence more useful; secondly, use observation on the behaviour of the system to extend the observations for the purpose of reflecting the reality (e.g., using a model) (W. Lahoz et al., 2010). The model can then propagate the information from observations and better represent the real state of the system under investigation. The idea behind choosing a model for a particular environment is that the model provides a set of consistent principles which when registered, makes the most efficient use of observations.
Details
- Title
- Advances in hydrodynamic modelling of flow in rivers and estuaries using Lagrangian drifter data
- Authors
- Neda Mardani
- Contributors
- Adrian McCallum (Supervisor) - University of the Sunshine Coast, Queensland, Indigenous and Transcultural Research Centre - Legacy
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00109
- Organisation Unit
- Indigenous and Transcultural Research Centre; University of the Sunshine Coast, Queensland; Cancer Research Cluster; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99589608802621
- Output Type
- Dissertation
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