The TRIM4Post-Mining project aims to develop an integrated information modeling system to support decision-making and planning during the transition from coal exploitation to a re-vitalized post-mining landscape, enabling infrastructure development for agricultural and industrial uses and contributing to the recovery of energy and materials from coal mining dumps. This modeling system will be composed of a high-resolution spatiotemporal database founded on state-of-the-art multi-scale and multi-sensor monitoring technologies to characterize dynamical processes in coal waste dumps related to timely dependent deformation and geochemical processes. To test this approach, the European consortium formed by experts from industry and academia (FZN-THGA, TUBAF, TU DELFT, MIBRAG, Beak Consultants, Spectral Industries, and Eijkelkamp SonicsSampdrill) will compile and analyze data from the Schleenhain Mine dump in Leipzig, Germany. In this context, comprehensive spatiotemporal data analytics, feature extraction, and predictive modeling will be developed to target potential contamination areas and forecast the waste dump dynamics. All the up-to-date data and models will be embedded in an interactive planning system based on Virtual Reality and Augmented Reality technology forming a TRIM – Transition Information Modelling System that guarantees efficient and transparent communication of planning scenarios in terms of residual risks, technical feasibility, environmental and social impact between all key stakeholders.
Hernan Flores1, Diego Restrepo2, Natalie Merkel2, Stefan Möllerherm1, Jörg Benndorf2
1Forschungszentrum Nachbergbau, Technische Hochschule Georg Agricola, Bochum; 2Technische Universität Bergakademie Freiberg, Freiberg