Dissertation
High spatial resolution monitoring of sedimentation in water storages using fibre-optic distributed temperature sensing
University of the Sunshine Coast, Queensland
Doctor of Philosophy, University of the Sunshine Coast, Queensland
2024
DOI:
https://doi.org/10.25907/00851
Abstract
This thesis investigated the feasibility of utilising fibre-optic Distributed Temperature Sensing (DTS) to monitor sedimentation and storage capacity in freshwater storages. The motivation behind this research stems from the escalating global challenge from sedimentation of natural and impounded reservoirs, which results in significant reduction of reservoir lifespan. Driven by changes in land use and climate, this issue has far-reaching implications for water resource management, environmental health, and biodiversity. Traditional methods for measuring sedimentation, such as bathymetry and core chronology, offer limited spatiotemporal resolution and often fail to provide a comprehensive picture of sedimentation dynamics, especially in environments strongly affected by human activities
Details
- Title
- High spatial resolution monitoring of sedimentation in water storages using fibre-optic distributed temperature sensing
- Authors
- Laureano Gonzalez Rodriguez - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Contributors
- Adrian McCallum (Principal Supervisor) - University of the Sunshine Coast, Queensland, Indigenous and Transcultural Research CentreHelen Fairweather (Principal Supervisor) - Engineers AustraliaDamon Kent (Co-Supervisor) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringCharith Rathnayaka (Co-Supervisor) - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
- Awarding institution
- University of the Sunshine Coast, Queensland
- Degree awarded
- Doctor of Philosophy
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00851
- Organisation Unit
- Cancer Research Cluster; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991028698402621
- Output Type
- Dissertation
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