Meeting new challenges in minesite landform design Rob Loch Historically …. Waste landforms were not designed; Similar profiles used worldwide No consideration of site materials & climate; Poor aesthetics; Commonly unstable; and Failure to meet community expectations. Metalliferous mines (gold) Coal mines (Qld) Coal mines (Hunter) An alternative approach Landform and erosion modelling has been used since late 1990’s to produce: Site- and material-specific landforms Wide range of landforms Demonstrated stability Geomorphically sound landform approaches. Example #1: Sand mine, NSW December 2009 December 2010 Linear slopes; Low gradients; Use of tree debris Control of flows. Example #2: Gold mine, WA Concave slopes; Soil amelioration; Use of tree debris; Control of flows. Example #3: Dredge spoil, WA Linear slopes; Preparation of rocky cover material; Soil amendment and fertilisation. What have we learnt? Can produce a wide variety of designs and excellent outcomes Modelling can be very accurate Most critical where erosion hazard greatest Provides a wide range of soil management and landscape guidance High potential for development of aesthetically acceptable landforms Accuracy Performance of constructed designs has been assessed; Very close agreement between predicted and observed erosion; but Critical to use measured parameters; so Quality in landform design planning is critical. WEPP-Calculated Cumulative Erosion (t/ha) Accuracy of design simulations 500 400 1:1 300 Using MEASURED erodibility parameters 200 100 R² = 0.987 0 0 100 200 300 400 Measured Cumulative Erosion (t/ha) 500 Predicted and observed cumulative erosion rates for 20 batter slope locations on Western Australian mine sites Erosion Predictions (t/ha/y) Using Internally Derived WEPP Soil Parameters But parameter inputs are critical 500 400 1:1 300 200 100 0 0 100 200 300 400 Erosion Predictions (t/ha/y) Using Calibrated WEPP Soil Parameters 500 Risk and slope height 45 Predicted erosion rate (t/ha/y) 40 35 30 25 20 15 10 5 0 0 100 200 300 400 Horizontal distance (m) from crest 500 600 Risk and soil erodibility Predicted erosion rate (t/ha/y) 400 300 Topsoil Conglomerate topsoil mix Weathered conglomerate Fresh conglomerate 200 100 0 0 40 80 120 Slope length (m) 160 200 Risk and soil infiltration capacity Predicted annual average erosion (t/ha/y) Potential impact of soil improvement 800 Measured conductivity = 0.4 mm/h 600 • Vegetation? • Gypsum? 400 200 0 0 4 8 Hydraulic conductivity (mm/h) 12 16 Risk and Climate Impacts of vegetation Management guidance Modelling approach and associated assessments can guide: Progressive rehabilitation to deal with high slopes; Soil amendment to increase infiltration and reduce erodibility; Identification of targets for revegetation (cover); and Soil treatment (fertiliser) to ensure vegetation targets are met. Risk factors Low risk High risk Rain >500 mm/y Rain ~300 mm/y Non-erodible soils Erodible soils Non-dispersive soils Dispersive & tunnelprone Good vegetation growth Poor vegetation growth Low gradient slopes High gradient slopes Low slopes (≤ 60 m vertical) High slopes (up to 200 m vertical) Capacity to design “natural” landforms Concave profiles Able to consider spatially variable materials 200 55 Rocky bluffs, zones of varying erodibility Landform Height (m) 45 160 Rock/Soil Mix 120 Vegetation Only 40 35 30 25 20 15 80 10 5 0 40 -5 -10 0 0 200 400 600 Horizontal Distance (m) 800 -15 1000 Predicted erosion rate (t/ha/y) 50 Bluff Also able to: • Incorporate swales and flow paths; • Assess 3-D erosion patterns; and • View the final vegetated product. Considering aesthetics No single, identifiable, "natural" landform shape or profile; Mimicking nearby landforms may be dysfunctional; Personal opinions of aesthetic quality may vary greatly; Need some way to rate/assess aesthetic Aesthetics: a “less bad” rating Landloch has used a progression of: 1. 2. 3. 4. 5. 6. Functionality (stability, water quality); Sustainability (vegetation); Non-linear batters (concave profile); Non-linear plan footprint; Non-linear top outline; Geomorphic features (swales, cliffs). 1 star 6 star So basically 3 design options: 1. Mimic natural landforms. 2. Mimic natural landforms, assess with erosion and landform evolution models. 3. Design using models and typical landform features. Pros and cons of design options Option 1 (Natural Design only) may well not be stable if: Topsoil and waste are more erodible than “natural” soil and rock; Vegetation performance is poorer than in analogue areas; and/or Climate change alters erosion risk. Clearly best applied in low-risk situations. Pros and cons of design options Option 2 (Natural Design followed by erosion/landform modelling) will achieve: Initial design based on natural landforms; Modification of the design to ensure stability and sustainability; Guidance on material management and rehabilitation practices; and Demonstrated landform stability. Applicable to higher risk situations. Pros and cons of design options Option 3 (Design using erosion/landform modelling) can achieve: Stable, sustainable design based on natural landforms; Guidance on material management and rehabilitation practices; and Demonstrated landform stability. Applicable to higher risk situations. Assessing options Deciding the optimal approach may not be easy, but: It IS more appropriate for a landform to be designed on the basis of site climate and soil properties than on the properties of the surrounding hills; and landform; there is scope for considerable variation.
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