Background
SGME has a strong and well-established relationship with the mine and has done six years (ongoing) of periodic construction audits of a regulated waste rock dump. The mine is nestled approximately 45 kilometres north-west of Nyngan in the heart of central New South Wales.
Objective
Heap leach pads (HLPs) pose significant risks to soil, surface water and groundwater; therefore, they require effective strategies to enhance stability and reduce erosion. The project focuses on characterising materials, using landform evolution models and modelling erosion using advanced tools like Water Erosion Prediction Project (WEPP) which is a continuous simulation program developed by the United States Department of Agriculture’s Agricultural Research Service. The overarching goal is to design a landform solution that ensures long-term stability and minimises environmental risks.
Solution
The project involves assessing erosion risks and stability of a rehabilitated HLP landform using advanced modelling techniques. It aims to achieve a landform solution that mitigates potential environmental impacts such as soil and groundwater contamination. The study includes material characterisation of soil and waste rock, cover design, erosion modelling using the WEPP model and landform evolution modelling.
The landform evolution model assesses erosion behaviour over time intervals of 10, 100 and 1,000 years to identify high-risk areas that are prone to erosion and to evaluate the effectiveness of mitigation measures like surface covers and drainage systems. Light detection and ranging (LiDAR) technology is a critical component of the project. It was used to capture detailed topographic data of the mine site including the HLP. SGME uses cutting-edge drone technology to enhance project outcomes. Our drones offer precise data for 3D modelling, terrain analysis and vegetation assessments which aid informed decision-making. With certified pilots ensuring safety and compliance, we provide reliable results. Our approach maximises efficiency and accuracy, optimises project performance and minimises risks.