Preprint
Dts-Based Modelling for High-Resolution Sedimentation Analysis in Water Reservoirs
Social Science Research Network (SSRN) , Vol.22 October 2024
Elsevier
2024
Abstract
Challenges in monitoring sedimentation of freshwater storages are intensifying under the pressures of anthropogenic impacts and climate change. Traditional methods to assess contemporary sedimentation are compromised by their inability to provide high spatiotemporal resolution measurements, critical for effective water resource management. This study intends to address this gap through the use of fibre-optic based Distributed Temperature Sensing (DTS) to monitor thermal differences between water and sediment layers with high spatial resolution, enabling estimation of sediment depth. A fibre optic cable (FOC) deployed in a pond environment measured diurnal temperature fluctuations at two sediment depths and the water-sediment interface over a two-day period. The instrumentation also included a heating tape to enable application of heat pulses along the FOC cable to evaluate differences in heat propagation in the water and sediment layers. The measurements revealed increasing attenuation of the diurnal temperature signal with increasing sediment depths. Utilizing these data, analytical and numerical models were developed to accurately estimate sediment depths, providing insights into modelling sedimentation across a water body. The simulation results helped conceptualise a fibre optic sensing array to assess sedimentation. This study examined factors impacting accuracy of estimates of sediment depths, such as the consistency of the sediment depth across the FOC and the strength of the diurnal temperature signal. The findings demonstrate that DTS is a promising tool for reservoir management, providing a basis for efficient, data-driven approaches to monitor sedimentation and storage capacity in freshwater storages.
Details
- Title
- Dts-Based Modelling for High-Resolution Sedimentation Analysis in Water Reservoirs
- Authors
- Laureano Gonzalez Rodriguez (Corresponding Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringDamon Kent - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringCharith Rathnayaka - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringHelen Fairweather - Engineers AustraliaAdrian McCallum - University of the Sunshine Coast, Queensland, Indigenous and Transcultural Research Centre
- Publication details
- Social Science Research Network (SSRN) , Vol.22 October 2024
- Publisher
- Elsevier
- Date published
- 2024
- DOI
- 10.2139/ssrn.4995732
- ISSN
- 1556-5068
- Organisation Unit
- Indigenous and Transcultural Research Centre; Cancer Research Cluster; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991087897202621
- Output Type
- Preprint
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