EGU21-8558
https://doi.org/10.5194/egusphere-egu21-8558
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using Landscape Evolution Models to assess the long-term erosional stability of tailings dams

Greg Hancock
Greg Hancock
  • The Univeristy of Newcastle, School of Environmental and Life Sciences, Earth Sciences, Callaghan, Australia (greg.hancock@newcastle.edu.au)

Tailings are a by product of mining and the processing of minerals. Tailings are generally highly erodible as they have a fine particle size. They can also contain elevated concentrations of unwanted minerals and process chemicals. Consequently, if released to the environment they can be a significant environmental problem. There have been several high profile cases which have highlighted the human and environmental risk of tailings. A common way to manage tailings is to store them in ‘tailings dams’ where they will remain in perpetuity. There has been little investigation of the long-term erosional behaviour of a tailings dams. Computer based Landscape Evolution Models (LEMs) can provide insight into these new geomorphological entities. LEMS provide information on erosion rates, type of erosion and where erosion is likely to occur and can provide guidance on long-term behaviour. Here a LEM is used to assess tailings dam designs using a range of different surface covers and climates. The modelling and methods here provide a template for tailings dam assessment at other sites globally. The methods here will improve tailings dam design and reduce environmental risk.

How to cite: Hancock, G.: Using Landscape Evolution Models to assess the long-term erosional stability of tailings dams, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8558, https://doi.org/10.5194/egusphere-egu21-8558, 2021.

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