- Title
- Description and assessment of a new high resolution erosion model for constructed landforms
- Creator
- Yavari, Shahla; McIntyre, Neil; Shao, Qi; Baumgartl, Thomas
- Date
- 2024
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/199898
- Identifier
- vital:19299
- Identifier
-
https://doi.org/10.1016/j.envsoft.2023.105928
- Identifier
- ISSN:1364-8152 (ISSN)
- Abstract
- Literature review reveals that many erosion models have limitations for application to constructed landforms. The new EroCA model aims to address this gap. The model uses established erosion and sediment transport models applied to multiple particle size classes at fine spatial and temporal resolutions, covering both suspended load and bedload. Using data from an experimental plot in Northern Australia, global sensitivity analysis was used to investigate the sources of uncertainty, limitations of the model, and priorities for data collection. Further analysis explored sensitivity to model grid size. The results showed that the Manning roughness, erodibility parameters and particle size are the most important parameters. Results also showed low parameter identifiability and hence the difficulty of calibration, even when using high quality experimental data. EroCA has the capacity to be a powerful landform modelling tool at appropriate scales of application; however ideally its data needs would be considered during monitoring design. © 2023 The Authors
- Publisher
- Elsevier Ltd
- Relation
- Environmental Modelling and Software Vol. 172, no. (2024), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2023 The Authors
- Rights
- Open Access
- Subject
- MD Multidisciplinary; Cellular automata; Erosion modelling; Global sensitivity analysis; Mine waste; Mined landforms
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