Applying risk-based principles of dispersive mine spoil behaviour to facilitate development of cost-effective best management practices
Technical report
Title | Applying risk-based principles of dispersive mine spoil behaviour to facilitate development of cost-effective best management practices |
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Report Type | Technical report |
Authors | Bennett, John (Author), Raine, Steve (Author), Reardon-Smith, Kate (Author), Dale, Glenn (Author) and Thomas, Evan (Author) |
Institution of Origin | University of Southern Queensland |
Number of Pages | 23 |
Year | 2017 |
Publisher | Unpublished |
Abstract | Dispersive spoil material on mine sites represents a significant operational, environmental and economic challenge to mining operations. Better understanding of the chemical and physical characteristic of spoil material and its behaviour under different climatic and management regimes is needed to inform site-specific management decisions. This industry-funded project has developed, parameterised and tested a prototype Bayesian network (BN) model which integrates a range of biophysical (climate, spoil characteristics, vegetation cover) and management (landform, spoil amendment, runoff management) variables. Where available, quantitative data were used to parameterise the model; however, in many instances, existing data were too few and it was necessary to use qualitative information (expert judgement). The process of developing the model identified serious data deficiencies which should inform future data collection strategies. An ongoing iterative process, with targeted data collection and feedback from industry decision makers and discipline experts, will support improvements in the model, which has significant potential to inform adaptive evidence-based best practice dispersive mine spoil management. |
Keywords | Bayesian Network model; model development; sensitivity analysis |
ANZSRC Field of Research 2020 | 410405. Environmental rehabilitation and restoration |
410404. Environmental management | |
410699. Soil sciences not elsewhere classified | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | National Centre for Engineering in Agriculture |
International Centre for Applied Climate Science | |
Verterra Ecological Engineering, Australia |
https://research.usq.edu.au/item/q64z9/applying-risk-based-principles-of-dispersive-mine-spoil-behaviour-to-facilitate-development-of-cost-effective-best-management-practices
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