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- TextdokumentTRIM4Post-Mining: Transition Information Modelling for attractive Post-Mining Landscapes – A Conceptual Framework(INFORMATIK 2021, 2021) Benndorf, Jörg; Restrepo, Diego Alejandro; Merkel, Natalie; Knobloch, Andreas; Kressner, Martin; Guatame-Garcia, Adriana; Nolte, Harm; Möllerherm, Stefan; Dalm, MarinusTRIM4Post-Mining brings together a consortium of European experts from industry and academia to develop an integrated information modelling system. This is designed to support decision-making and planning during the transition from coal exploitation to a revitalized postmining landscape enabling infrastructure development for agricultural and industrial utilization and contributing to recover energy and materials from coal mining dumps. The smart system will be founded up on a high-resolution spatiotemporal database utilizing state-of-the-art multi-scale and multi-sensor monitoring technologies that characterize dynamical processes in coal waste dumps related to timely dependent deformation and geochemical processes. It will develop efficient methods for comprehensive spatiotemporal data analytics, feature extraction, and predictive modelling that allow for the identification of potential contamination areas and forecasting the waste dump dynamics. For the interactive exploration of alternative land-use planning scenarios in terms of residual risks, technical feasibility, environmental and social impact, and also affordability, 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.