Recent changes in the fossil-fuel energy sector require coal mining industries to plan for the future, including developing procedures for decommissioning and closure associated with mines. In surface coal mining, the geotechnical issues of decommissioning include the long-term stability of the pit slopes, particularly as the pit is gradually filled with water. This paper investigates such slope stability issues, with emphasis on the conditions prevailing in the Amyntaion surface lignite mine, in Western Macedonia, Greece. Analytical and numerical methods have been developed and used to estimate the temporal evolution of the overall safety factor, as the water level in the pit rises, creating a lake. It is shown that until the water level in the lake reaches a critical depth of approximately 15–35% of the final equilibrium condition, the safety factor against the overall slope instability decreases slightly (by about 3% in the case study, and up to 5–10% in other conditions) compared to its value at the end of exploitation. At higher lake levels, the safety factor increases significantly, as the beneficial effect of the lake water pressure acting on the slope overcomes the adverse effect of pore water pressure rise inside the slope. In typical mines, the critical water depth is achieved within a few years, since the surface area of the pit is smaller at deeper levels; thus, more favorable slope stability conditions are usually reinstated a few years after mine closure, while the small reduction in safety during the initial stages after closure is inconsequential. The paper investigates the parameters influencing the magnitude of the small reduction in the short-term safety factor and produces normalized graphs of the evolution of the safety factor as the lake water level rises. The results of the analyses can be used in preliminary closure studies of surface coal mines.

Among the procedures included in surface mines’ closure, the determination of post-mining land uses constitutes one of the early but primary steps. This research aims to develop an algorithm for the selection of the most suitable land use spatial distribution in the post-mining area of a surface lignite mine in northern Greece. Considering the already reclaimed areas and the local socioeconomic conditions, six distinct criteria that concern physical local characteristics were selected and, in turn, spatially combined with parameters affecting the mining area. Mining experts attributed weights to the criteria regarding their importance for the examined land uses. The six criteria concerned physical local characteristics (slope, elevation, and distance from villages, rivers, roads, and transmission lines), while the parameters affecting the mining area referred to the type of ground (undisturbed or graded areas), existing infrastructure, and mine closure planning, emphasizing the final landscape of the mining area. The investigated land uses encompassed agricultural, forest, industrial (including buildings, infrastructure, and photovoltaic parks), and recreational parks. Through the application of a fuzzification algorithm within a geographical information system (GIS) environment, four land use suitability maps were generated, which were subsequently overlaid to derive a comprehensive suitability map. The final suitability map was derived from the integration of the mining parameters as spatial information into the algorithm. The findings indicate that, even though the land use suitability analysis could be derived from a mathematical model, the integration of qualitative information related to the mining specifications is necessary to produce more reliable results. The proposed algorithm can be used as a useful tool by decision-makers in the mining industry to plan post-mining reclamation based on suitable criteria.

This study examines the socio-technical challenges and public acceptance of hybrid pumped-hydropower storage (HPHS) technology within the broader context of energy transition in two European coal-mining regions: Western Macedonia, Greece, and the Łódzkie Region, Poland. These regions, deeply rooted in lignite mining, face profound socio-economic transformations driven by the EU Green Deal and its commitment to achieving net-zero emissions by 2050. The transition from coal dependency to renewable energy represents not only a critical environmental goal but also a significant socio-economic challenge for local communities, necessitating innovative and inclusive strategies to mitigate impacts and ensure equitable outcomes. The research integrates desk studies with stakeholder surveys (n = 129) to assess public awareness, perceived impacts, and acceptance of HPHS technology as a repurposing solution for decommissioned open-pit lignite mines. Results reveal that while awareness of the energy transition process is high (90% in Western Macedonia and 80% in Łódzkie Region), familiarity with HPHS technology varies significantly (76% and 48%, respectively). Support for implementing HPHS in former mining sites is stronger in Western Macedonia (73%) compared to Łódzkie Region (63%), with knowledge of HPHS correlating positively with acceptance (r = 0.83, p < 0.01). Both regions recognize the environmental benefits of HPHS, including improved air quality and biodiversity; yet, socio-economic challenges such as job losses, reduced income levels, and limited opportunities for reskilling persist, particularly in Łódzkie Region, where 77% of respondents view the energy transition as negatively impacting the labor market. By focusing on regions historically dependent on mining, this study highlights the critical role of addressing the unique needs of communities undergoing systemic transformation. The repurposing of former lignite mines into HPHS facilities offers a promising pathway for balancing environmental objectives with local socio-economic revitalization. However, success requires region-specific strategies, including transparent communication, stakeholder involvement, and targeted investment in workforce adaptation and infrastructure. These findings contribute to the growing discourse on how socially inclusive and technically feasible solutions can drive equitable energy transitions in post-mining regions.

Rockfall analysis is a multiparametric procedure with many uncertainties and the outputs are largely dependent on some critical engineering geological parameters involved in the used simulation model. In this paper, three completely different limestone rock sequences, named Pantokratoras, Vigla, and Paxos limestones along the western coastal slopes of Lefkada island, in Greece, are examined regarding their rockfall susceptibility as expressed by produced kinetic energy, under aseismic and seismic conditions. A rockfall inventory was prepared through detailed field measurements after the extensive rockfalls which were caused by the strong earthquake of November 2015, while engineering geological surveys were systematically conducted on the limestone rock masses. Two case scenarios were adopted for the rockfall simulations: one without the horizontal initial velocity of the detached rock boulder and the other with an estimated value obtained from the peak ground velocity (PGV) of the main seismic shock. Two-dimensional rockfall simulations were performed in selected cross-sections for each rock mass, and spatial distribution maps of the intensity (kinetic energy) were generated. A comparison of the maps has shown a strong maximum variation in the intensity levels among the three rock masses mainly due to the differential size of the detached boulders because of the inherent engineering geological characteristics of the rock masses. The results show that the earthquake ground velocity generally leads to a fluctuating change in the intensity values due to the trajectory shape and increases the rockfall magnitude as the main triggering factor.