https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Predicting gully erosion using landform evolution models: Insights from mining landforms https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43980 Wed 07 Feb 2024 16:38:20 AEDT ]]> The Proterozoic evolution of northern Siberian Craton margin: a comparison of U-Pb-Hf signatures from sedimentary units of the Taimyr orogenic belt and the Siberian platform https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31295 Sat 24 Mar 2018 08:44:14 AEDT ]]> Early landscape evolution - a field and modelling assessment for a post-mining landform https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23834 3 years. The results demonstrate that when correctly calibrated the landscape evolution model is able to reliably predict sediment output from these field plots. These results suggest that there is the potential to employ the bare waste rock dump parameters for the first 3-4 years then switch to vegetated parameters for the longer term modelling. Both the field plots and landscape evolution model simulations displayed considerable annual variability in total load. This variability is the result of different surface structure from imposed surface roughness (ripping by a bulldozer) and their unique topographic structure. Both initial DEM and model parameters have a large influence on predicted sediment load. The results here support the reliability of the model at the sub-metre grid scale.]]> Sat 24 Mar 2018 07:12:13 AEDT ]]> The Proterozoic history of the northern and western Siberian cratonic margins based on results of U-Pb-Hf detrital zircon analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31982 Mon 23 Sep 2019 10:47:23 AEST ]]> Hillslope erosion in a grassland environment: calibration and evaluation of the SIBERIA landscape evolution model https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39223 −1year⁻¹and 4.4 t ha⁻¹year⁻¹, respectively. These were found to closely match erosion rates estimated using the environmental tracer137Cs (2.7–4.8 t ha⁻¹year⁻¹. However, erosion and deposition estimated at individual points along the hillslopewas not well correlated with¹³⁷Cs at the same position due to the temporal averag-ing of the model and microtopography. Sensitivity analysis showed the model wasmore sensitive to parameterisation than sub-DEM-scale topography. This placesconfidence in the model’s ability to estimate erosion and deposition across an entirehillslope and catchment on decadal time scales. We also highlight the robustnessand flexibility of the calibration methods.]]> Fri 27 May 2022 11:51:25 AEST ]]> Hillslope and point based soil erosion - an evaluation of a landscape evolution model https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48734 Fri 23 Jun 2023 12:47:54 AEST ]]> A method for assessing the long-term integrity of tailings dams https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46855 Fri 02 Dec 2022 09:27:23 AEDT ]]>