TRIM4Post-Mining is a H2020/RFCS-funded project that 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 post-mining landscape, enabling infrastructure development for agricultural and industrial utilization, and contributing to the recovery of energy and materials from coal mining dumps. The smart system will be founded upon a high-resolution spatiotemporal database, utilizing state-of-the-art multi-scale and multi-sensor monitoring technologies that characterize dynamic processes in coal waste dumps related to timely, dependent deformation and geochemical processes. It will integrate efficient methods for operational and post-mining monitoring, comprehensive spatiotemporal data analytics, feature extraction, and predictive modelling; this will allow for the identification of potential contamination areas and the forecasting of geotechnical risks and ground conditions. For the interactive exploration of alternative land-use planning scenarios—in terms of residual risks, technical feasibility, environmental and social impact, and 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—a Transition Information Modelling System. This contribution presents the conceptual approach and main constituents, and describes the state-of-the-art and detailed anticipated methodological approach for each of the constituents. This is supported by the presentation of the first results and a discussion of future work. An anticipated second contribution will focus on the main findings, technology readiness and a discussion of future work.

Following the Paris Agreement adopted in 2015, Europe has committed to reducing its greenhouse gas emissions. In this context, the abandonment of coal as an energy source, both in terms of consumption and production, will lead to the closure of many mines in the years to come. Mine closure guidelines to manage residual mining risks already exist in European countries. However, they do not include post-mining seismic risk management due to a lack of sufficient studies and knowledge on this subject. After mining closure, the flooding of the mining works leads to hydromechanical loading of the underground and, in the longer term, to diffusion and an increase in the pore pressure. These conditions can lead, in certain situations, to the reactivation of tectonic faults, which may cause seismic events strong enough to be felt on the surface or even produce damage. Events of lower magnitudes, usually attributed to the remobilization of old mining works, are referred to as post-mining seismic hazards. The European RFCS PostMinQuake project, which started in 2020, aims to study this hazard at five mining basins located in France, Germany, Poland and the Czech Republic, known to have experienced significant seismicity during their operation. This analysis, based on the feedback of the partners of the project, aims to frame an inventory of the five studied mining basins, which all encounter post-mining seismicity problem today. Three basins out of five show events with local magnitudes of the order of 3 to 3.5, which took place between nine and thirteen years after the closure of the mines. Even though the magnitudes of these earthquakes are small to moderate, they are felt on the surface as they occur at shallow depths. In all of the considered countries, a national seismological network exists, however, none of them is fully dedicated to post-mining seismic monitoring. These networks generally consist of a sparse mesh of stations, which does not allow the detection of events of magnitude less than 1 and the location of events have high spatial uncertainties. France is not an exception, but it relies on microseismic monitoring to detect early signs of instability at the level of mining structures and to anticipate the possible appearance of surface disorders. Out of the five basins that are studied, the Gardanne basin, which has been monitored since 2008, is the most documented case study of post-mining seismicity. This article also shows the difficulty in identifying the key conditions and factors that can lead to the remobilization of faults.

Despite the long tradition of mining activities in Kosovo, there is still the a lack of policies for post-mining. Specifically, focusing on coal mining, this research analyzes the sustainable transition and post-mining management in the Ruhr Region, exploring the potential for knowledge transfer to enhance mining practices in Kosovo. The research aims to identify transferable strategies for sustainable mining transitions by examining environmental, social, and economic dimensions. Through comparative analysis, the study assesses the applicability of Ruhr’s experiences in fostering environmentally responsible mining practices in Kosovo and beyond. Similarities and possible challenges are discussed based on the environmental and socio-economic points of view. The findings contribute insights into effective post-mining strategies, facilitating knowledge transfer to regions undergoing similar transitions and thereby fostering sustainable mining practices globally.

The Ukraine has started to restructure its coal mining activities. The country will probably face similar challenges and obstacles that German hard coal mining had experienced. The restructuring of old mine sites to new economic hubs requires governance practices and efficient management processes. Best practice, lessons learned, training and reskilling approaches of the young generation from the coal mining region Ruhr area are described and how they can be transferred to the Ukraine.

Media coverage plays a pivotal role in shaping public perception of the energy transition. This study provides a comprehensive analysis of how the lignite phase-out is represented in Greece, both by national and regional media, with a specific focus on the impacted region of Western Macedonia. Using data from the Leipzig Corpora Collection and regional news portals from 2013 to 2022, the analysis reveals significant divergences between media levels. While both show synchronized peaks for key terms like “Climate change” (2019) and “Western Macedonia” (2021), regional media addressed the direct impacts of the transition earlier and more intensely, with terms like “post-lignite” and “de-lignification” peaking in 2020 following the announcement of the Master Plan. National media framed the transition within a broader, top-down policy context, often with an optimistic tone, reflecting EU directives. In contrast, regional media provided a community-centric perspective, highlighting concerns over job losses and the preservation of local identity. The findings underscore a clear tension between official narratives of progress and local-level concerns, demonstrating that media discourse is a critical, multi-faceted component of just transition processes that policymakers must consider.

The use of hyperspectral imaging (HSI) at different scales has become a big ally for a large range of applications in remote sensing, especially within the mining life cycle. In this contribution, we explore the use of HSI sensing, particularly to monitor mine waste at different constellations that might face environmental damaging phenomena: Acid Mine Drainage (AMD). Failure to accurately monitor and remediate such a complex process, leads to long-term impacts on ecosystems and human health, in addition to significant financial consequences and reputational damage to operators. We propose a workflow to integrate hyperspectral visible to near-infrared (VNIR) data, together with mineralogical and geochemical data to precisely map the extent of acid mine drainage using machine learning algorithms. Collected data from the field and further laboratory analyses on a few specimens provide the ground-truth and training data to support the proposed mapping algorithms. Results consist of semi-quantified concentration of dissolved metals, physicochemical properties in water bodies, and associated AMD minerals sub-products (e.g., goethite, jarosite, schwertmannite) within mine waste materials, as well as mineralogical characterization for predictive modeling at laboratory scale. Regardless of the scale of acquisition, spectral imaging represents a cost-effective tool to enhance the quality of classical environmental analyses both in active and post-mining scenarios, which can increase the overall accuracy of the monitoring, allowing frequent and multi-temporal observations to reveal risk scenarios, take fast corrective actions and keep a continuous control.