Atukunda, M, Hawes, O & Curtis, M 2026, 'Validation of the revised universal soil loss equation parameters based on 
aerial imagery of gully formation lengths: a case study in Central Queensland', in AB Fourie, G Boggs, J Heyes & M Tibbett (eds), Mine Closure 2026: Proceedings of the 19th International Conference on Mine Closure, Australian Centre for Geomechanics, Perth, pp. 1-8, https://doi.org/10.36487/ACG_repo/2615_94
(https://papers.acg.uwa.edu.au/p/2615_94_Atukunda/)
Abstract: Effective surface water management and erosion control are essential for long-term stability of rehabilitated mine landforms. However, there is limited site-specific guidance available for estimating appropriate erosion thresholds for rehabilitated landforms in Central Queensland. To address this gap, an assessment of erosion features (gullies) following a 3-year exposure period was undertaken to inform surface treatment and slope design strategies. This study investigated the relationship between the observed gully initiation threshold and predicted annual soil loss rate using the Revised Universal Soil Loss Equation (RUSLE). By analysing geospatial data and validating results with the RUSLE, the study refined critical landform design parameters. This approach utilised aerial imagery, lidar, GIS analysis and field measurements to estimate erosion loss rates. Key outcomes include site-validated maximum slope lengths prior to gully formation and the development of soil loss curves based on observed gully development. The findings emphasise the importance of integrating field observations into erosion estimation and surface water management practices. For example, measuring gully length offers a practical metric for validating slope design relative to gradient and water flow. This work aims to contribute to the development of an improved implementation of erosion management strategies that support sustainable land use and environmental protection. 

Keywords: mine rehabilitation, soil erosion, Revised Universal Soil Loss Equation, landform design, gully formation, lidar, GIS