Changes in hydrology, sediment loss and microtopography of a vegetated mine waste rock dump impacted by fire

Evans, K. G.; Saynor, M.J.; Willgoose, Garry

doi:10.1002/(sici)1099-145x(199911/12)10:6<507::aid-ldr341>3.0.co;2-#

Cited by 32 publications

(25 citation statements)

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“…SIBERIA is a physically-based model for simulating the geomorphic evolution of landscapes subject to fluvial and diffusive erosion and mass transport processes (Willgoose et al, 1991) and has recently been tested and evaluated for erosion assessment over a range of landforms (for example Evans et al, 1999Evans et al, , 2000Hancock et al, 2000Hancock et al, , 2008.…”

Section: Siberiamentioning

confidence: 99%

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Comparison of fallout radionuclide (caesium-137) and modelling approaches for the assessment of soil erosion rates for an uncultivated site in south-eastern Australia

2009

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Section: Siberiamentioning

confidence: 99%

“…The fluvial sediment transport equation is parameterized using input from field sediment transport and hydrology data. This parameterization process is described in detail by Evans et al (1999Evans et al ( , 2000 and Hancock et al (2000).…”

Section: Parameterization Of Siberiamentioning

confidence: 99%

Comparison of fallout radionuclide (caesium-137) and modelling approaches for the assessment of soil erosion rates for an uncultivated site in south-eastern Australia

2009

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“…The scaling and scale dependence of model parameters is an area that still requires considerable further research. The SIBERIA erosion model has recently been tested and evaluated for erosion assessment of post-mining landforms Evans et al, 1999Hancock et al, 2000Hancock et al, , 2002Lowry et al, 2004Lowry et al, , 2006Willgoose and Riley, 1998). A more detailed description of SIBERIA can be found in the work of Willgoose et al (1991aWillgoose et al ( , 1991bWillgoose et al ( , 1991cWillgoose et al ( , 1991d.…”

Section: Landscape Evolution Modelmentioning

confidence: 99%

An evaluation of an enhanced soil erosion and landscape evolution model: a case study assessment of the former Nabarlek uranium mine, Northern Territory, Australia

Hancock

Lowry²,

Moliere³

et al. 2008

Earth Surf Processes Landf

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The assessment of post-mining landscapes as case studies is an important part of the evaluation of current rehabilitation practices. A necessary part of this assessment is to predict the surface stability of the landform using erosion and landform evolution modelling techniques. In the short term, erosion on a rehabilitated mine site can lead to increased sediment loads and transport of other mine related contaminants in downstream waterways. It is well recognized that in many mine areas the erodibility of surface materials can, and does, vary. This is a particularly significant issue on mine sites, where the surface conditions may range from areas of undisturbed natural surface materials, waste rock dumps constructed with materials exhumed from the sub-surface, and other areas that have a mix of waste rock and soil to enhance the growth of vegetation. A further significant issue is that when the subsurface materials are exposed to surface conditions they can weather rapidly, changing their erodibility. This paper uses a new version of the SIBERIA landscape evolution and soil erosion model to evaluate the former Nabarlek uranium mine site in the Northern Territory, Australia. This new version of SIBERIA uses spatially variable erosion and hydrology parameters across the study domain to represent different erodibilities of surface materials, thus allowing better representation of catchment heterogeneity. The results demonstrate that the model predicts erosion rates similar to that of other modelled results and independent field data, providing confidence in the model and its parameterization. The tailings, deposited in the mined out pit and capped with waste rock, appear to be safely encapsulated for the modelled period.

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“…The fluvial sediment transport equation (Equation 3) in SIBERIA is parameterized using input from field sediment transport and hydrology data. This parameterization process is described in detail by Evans et al (1999Evans et al ( , 2000 and Hancock et al (2000). For this study the SIBERIA model was calibrated from field data collected at Tin Camp Creek from a series of rainfall events.…”

Section: Evaluation Of the 10 M 90 M And 90 M Srtm Digital Elevationmentioning

confidence: 99%

A comparison of SRTM and high‐resolution digital elevation models and their use in catchment geomorphology and hydrology: Australian examples

Hancock

Martínez

Evans

et al. 2006

Earth Surf Processes Landf

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102

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The recently released Shuttle Radar Topography Mission (SRTM) 3-arc second digital elevation data set provides a complete global coverage of the Earth's land surface. In this paper we examine the SRTM data for three catchments in Australia over a range of climates, geology and resultant geomorphology. To test this new data set the SRTM data are compared with high resolution digital elevation models. We use basic hydrological and geomorphological statistics and descriptors such as the area-slope relationship, cumulative area distribution and hypsometric curve, along with Strahler and networking statistics. The above measures describe the surface morphology of a catchment, therefore integrating catchment geology, climate and vegetation. The SRTM data were also assessed as input into the SIBERIA landscape evolution and soil erosion model as were runoff properties, using a wetness index. The results demonstrate that the 90 m SRTM data provide a poor catchment representation. Hillslopes appear as a linked set of facets and display little of the complex curvature that is observed in high resolution data. While catchment area-slope and areaelevation (hypsometry) properties are largely correct, catchment area, relief and shape (as measured by the width function) are poorly captured by the SRTM data. Catchment networking statistics are also variable. The large grid size of the SRTM data also results in incorrect drainage network patterns and different runoff properties. Consequently, care must be used for quantitative assessment of catchment hydrology and geomorphology, as in all cases SRTM-derived catchment area is incorrect and smaller digital elevation grid sizes are required for accurate catchment-wide assessment. While only a limited number of catchments have been examined, we believe our findings are applicable to other areas. © Crown Figure 1. Tin Camp Creek catchment with a high resolution 10 m by 10 m DEM (top), regridded 90 m by 90 m DEM (middle), and 90 m by 90 m SRTM DEM (bottom). is located in the wet/dry tropics region and has a climate very similar to Tin Camp Creek (Saynor et al., 2004). The catchment is located on the Arnhem Land sandstone plateau and flows to the Magela Creek floodplain. In this study we examine a major tributary of Swift Creek -East Tributary. The upper reaches of the study catchment flow through a sandstone-bedrock-confined channel on the plateau. The catchment then flows onto a wooded lowland Digital elevation models in catchment geomorphology and hydrology 1397 Figure 2. Swift Creek catchment with high resolution 20 m by 20 m DEM (top), regridded 90 m by 90 m DEM (middle), and 90 m by 90 m SRTM DEM (bottom). The 10 m grid digital elevation model for Tin Camp Creek displays well-rounded hillslope of regular curvature and hillslope length over the entire domain, and is well dissected by a regularly spaced drainage network (Figure 1). Digital elevation models in catchment geomorphology and hydrology 1401 Figure 4. Area-slope relationship for Tin Camp Creek (top), Swift Creek (middle) an...

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Changes in hydrology, sediment loss and microtopography of a vegetated mine waste rock dump impacted by fire

Cited by 32 publications

References 12 publications

Comparison of fallout radionuclide (caesium-137) and modelling approaches for the assessment of soil erosion rates for an uncultivated site in south-eastern Australia

Comparison of fallout radionuclide (caesium-137) and modelling approaches for the assessment of soil erosion rates for an uncultivated site in south-eastern Australia

An evaluation of an enhanced soil erosion and landscape evolution model: a case study assessment of the former Nabarlek uranium mine, Northern Territory, Australia

A comparison of SRTM and high‐resolution digital elevation models and their use in catchment geomorphology and hydrology: Australian examples

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