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AbstractThe subfield of rural queer studies and the concept of lesbian earth encourage scholars to explore the significance of rural place, nature, and climate change in queer texts. Alison Bechdel’s graphic memoir, Fun Home: A Family TragicComic, presents nature as a source of familial conflict, creativity, and mutual support and as under threat due to strip mining. The climate change novel, 2 Degrees, focuses intensely on the realities of climate change and lesbian relations with the earth. These two texts are drastically different, yet they both convey a lesbian earth sensibility, featuring main characters who practice an open, vulnerable, interdependent stance with themselves and the more-than-human world. [ABSTRACT FROM AUTHOR]

Background: The July flood 2021 at the mountain front of the Eifel-Ardennes Mountains and their foreland resulted in the flooding of the lignite mining area of Inden in Germany. The mining activities resulted in large-scale anthropogenic changes to the relief and fluvial system, leading to a landscape that is no longer adjusted to the recent process-response system. This paper concentrates on the Inde River, where lignite mining led to the relocation of a 5-km-long river section. The flood event resulted in the temporary avulsion of the Inde River into the former channel and, ultimately, in the flooding of the open-cast lignite mine Inden. Results: The flooding of the open-cast lignite mine Inden led to headwall erosion and enormous sediment mobilisation, mobilising more than half a million cubic metres of sediment within a few hours, forming a 700-m-long deeply incised channel cut. Thereby, the underlying bedrock, near-subsurface man-made structures, and former river channels influence the erosional processes to different degrees. Surface erosion is likely to be the decisive process, and subsurface erosion is likely to play a secondary role. In both cases, former channels and mill ditches were likely impacting the course of erosional processes. Conclusions: During high flood events open-cast mining sites in floodplains are endangered by enormous erosion and sediment transport within a short period of time (several hours). Understanding such complex erosion and depositional processes in open-cast mining areas could provide a blueprint for geomorphological processes and hazards in these anthropogenically shaped fluvial landscapes. Further, information on historic impact in the area is crucial to estimate potential risks. [ABSTRACT FROM AUTHOR]

This article discusses the use of Chinese indentured labor by the British Phosphate Commissioners (BPC) in mining operations on Ocean Island and Nauru from the 1920s to 1942. The Chinese workers lived in BPC accommodation and had agreements regarding their work, benefits, and wages. In 1942, due to the threat of a Japanese attack, the Chinese miners were evacuated and later employed to mine wolfram in Hatches Creek and Wauchope in the Northern Territory. However, they went on strike shortly after arriving, accusing the government of not fulfilling its promises. The article compares the working and living conditions of Chinese miners in different locations and aims to broaden the historical understanding of their lives. [Extracted from the article]

Precise extraction of open-pit mines is crucial for resource management and ecological and environmental dynamic monitoring. Current methods for extracting open-pit mines encounter challenges such as low accuracy and difficulty detecting complex scenes of open-pit mining. To address these issues, this paper proposes an object-oriented intelligent extraction method for complex mining scenes using Gaofen-2(GF-2) high-resolution remote-sensing images, which expresses the pixel-level features at the object level and utilizes the unique feature propagation and aggregation capabilities of the graph structure for the extraction of the mines. First, an object-oriented feature expression strategy is introduced to express multi-level pixel-level features as object-level features by constructing objects with appropriate multi-resolution segmentation parameters. This approach effectively reduces the impact of isolated pixel noise and outliers on classification results. Second, this paper proposes a U-GCN-based open-pit mining extraction method that combines the powerful multi-level feature extraction capabilities of U-GCN to propagate and aggregate information in a graph structure, effectively modelling spatial relationships between different objects. This method achieves high-precision extraction of open-pit mining areas. In experiments conducted on two study areas of varying scales, the F1 scores for open-pit mine extraction reached 93.32% and 83.06%. Comparative experiments demonstrate that the proposed object-oriented U-GCN method performs superiorly in terms of accuracy, stability and robustness across mining scenes with different levels of complexity. The proposed open-pit mine extraction method offers new insights and methodologies for current extraction practices. [ABSTRACT FROM AUTHOR]

Accurately monitoring the change of mine area in the mining process is beneficial to mine safety management. This paper briefly introduces the collection of remote sensing images by unmanned aerial vehicles (UAVs) and its application in measuring surface mining subsidence and surrounding vegetation in the mining area. A case study was carried out in some mining areas of Nanshan Mountain, Yuncheng City, Shanxi Province. The surface mining subsidence value and vegetation-related parameters were measured by comparing the digital elevation model and multi-spectral images collected on May 12 and June 12, 2023. The validity experiment verified that the UAV image data could be used to measure the mining subsidence and vegetation parameters. Moreover, it was found that mining underground coal could lead to significant ground subsidence and pollute the surrounding environment, reducing vegetation. The innovation of this article lies in using UAV-collected remote sensing images instead of manually collecting ground elevation data and vegetation distribution data, providing effective references for safe mining in mining areas. [ABSTRACT FROM AUTHOR]

The exploitation and utilization of coal resources have significantly contributed to global energy security. However, this mining activity has inflicted considerable damage on the ecological environment, particularly on the Tibetan Plateau, where the impact on ecosystems may be even more detrimental. The implementation of high-intensity mining activities leads to rapid changes in land cover/land use. Consequently, it is essential to accurately and effectively monitor mining disturbances. In this study, we propose an approach to capture surface mining disturbances using spatial–temporal rules and time series stacks of Landsat data. First, a time series of annual mining disturbance probability was generated based on Landsat temporal-spectral metrics and random forest. Second, the Landsat-based detection of Trends in Disturbance and Recovery (LandTrendr) algorithm was employed to segment the time series and detect breakpoints. Finally, mining disturbances were captured by further restricting the output of LandTrendr based on spatial–temporal rules of mining disturbances. This approach was applied and evaluated in the Muli mining area of the northeastern Tibetan Plateau, which experienced large-scale and rapid mining disturbances from 2004 to 2014, and identified a disturbed mining area of 43.62 km2. The mining sites have been reclaimed after mining, and all reclamation work was done after 2016, with a total reclaimed area of 22.28 km2. The validation results indicated that the overall accuracy of mining disturbance and reclamation mapping ranges from 0.7333 to 0.8667, and the F1 scores for mining disturbances and reclamation range from 0.7551 to 0.8723. This study provides a reliable framework for monitoring mining disturbances and reclamation in surface mines, promising to be useful in realizing disturbance monitoring in surface mines for a wide range of mineral types. [ABSTRACT FROM AUTHOR]

Open-cast mining of rock materials provides many essential resources for industry and construction; however, it also significantly impacts the natural environment surrounding the mining sites. The most severe environmental threats posed by open-cast mining of rock materials include land occupation and often associated deforestation, changes in the hydrological regime of the area, emissions of gaseous and particulate pollutants into the atmosphere, noise emissions, and many others. This study aimed to investigate the extent and scope of the impact of a quarry located in southern Poland on the growth and degree of defoliation of trees in the surrounding forest ecosystem, and to examine how dust deposition on the forest floor changes. Additionally, the study examined how the quarry affects the development of natural forest regeneration and the species composition of ground vegetation. For this purpose, two 140 -- meter transects were established in the field, divided into four plots, with the centers located at 10, 50, 90, and 130 meters from the quarry edge. On these plots, the diameter at breast height (DBH) and height of the trees were measured, and their degree of defoliation was assessed. The understory trees were inventoried (divided into three height categories), and the contents of Al and Fe (in addition to silicon, these elements are present in diabase in the highest concentrations) in the litter was determined to assess dust deposition. Furthermore, phytosociological surveys were conducted in the plots, and each plant was assigned an appropriate light indicator value (Ecological Indicator Value). The study showed significant differences in the concentrations of Al and Fe in litter between plots, and a clear decreasing trend in the concentration of these elements with increasing distance from the quarry was observed. Trees closer to the quarry had smaller DBHs and a higher degree of defoliation, although these differences were not statistically significant. The number of understory plants in the highest height class decreased with increasing distance from the quarry. The phytosociological surveys indicated that the light requirements of plants increased with distance from the quarry. Overall, this study found that open-cast mining activities affected the surrounding forest ecosystems, and that the greatest threat posed by the quarry operations was the dust deposition on the forest floor. This phenomenon could possibly be significantly reduced by implementing a properly shaped ecotone zone. [ABSTRACT FROM AUTHOR]

The Tarcha coal deposit, located beneath the Omo trachyte flows in the Omo‐Gibe River basin of southern Ethiopia, is actively mined using open‐pit methods for energy resources. However, these mines face significant slope instability issues. This study aims to assess and enhance the stability of the selected open‐pit coal mine quarries through field and laboratory analyses, supported by the limit equilibrium method (LEM) and the finite element method (FEM). Fieldwork involved detailed measurements of slope geometry and orientation, in situ rock testing, and soil and rock sampling for laboratory analysis. Results indicated that the rock quality designation (RQD) of the rocks ranged from 22 to 57.5, indicating rock quality from very poor to fair. Schmidt hammer tests revealed uniaxial compressive strength (UCS) values between 14.79 and 29.31 MPa. Soil analysis classified the soils as sand with low to high plasticity (8.89% to 31.86%) and a liquid limit range of 21% to 62.63%. Stability analyses using LEM and FEM on two critical slopes (MS‐1 and MS‐2) under saturated, unloading, and loading conditions indicated instability. However, geometric adjustments, such as reducing slope angle, decreasing slope height, and implementing benching, were found to significantly improve slope stability. [ABSTRACT FROM AUTHOR]

Structurally controlled slope failure in open-pit mining occurs when the shear stress acting on the geological structure exceeds its shear strength. Mining slope stability is an extremely important topic from the ramifications of safety, social, economic, environmental and regulatory factors. This study reports the engineering geological setting of a bedded mining slope in China, and evaluates its stability via a numerical approach. First, a slope profile model is constructed using a synthetic rock mass (SRM) modeling approach. More specifically, the mechanical behavior of colluvium, intact rock and discontinuities are represented by linear contact model, bonded particle model and smooth joint model, respectively. Then, the factor of safety (FOS) and instability process are investigated by integrating the discrete fracture network (DFN)-distinct element method (DEM) and strength reduction technique (SRT). In addition, shear stress analyses of colluvium and bedrock are conducted for revealing the potential failure mechanism. Finally, the well-established limit equilibrium (LEM) and finite element method (FEM) are adopted for simulation results comparison and validation. [ABSTRACT FROM AUTHOR]

Shuozhou is a typical coal mining city, and the Pingshuo Antaibao open-pit coal mine in its area is one of the largest open-pit coal mines in China. The mining of coal resources is an important part of ensuring national energy security, and at the same time, it inevitably has a certain impact on the ecology, such as coal dust generated by open-pit mining will affect air quality, soil, water and vegetation. It is of great significance to explore the temporal and spatial variation of ecological environment quality in coal mining cities for ecological protection and sustainable social and economic development. Based on the Google Earth Engine (GEE) platform, this paper combines the index-based coal dust index (ICDI) and Remote Sensing Ecological Index (RSEI) models to construct an improved RSEI (IRSEI) that can reflect coal mining cities. This paper explores the spatial–temporal evolution characteristics and spatial correlation of ecological environment quality in Shuozhou from 2000 to 2020. The results showed that the average value of IRSEI in Shuozhou was between 0.262 and 0.418, and the overall change showed an upward trend. The growth areas of ecological environment quality are mainly located in the eastern and southwestern areas with good vegetation growth, and these regions have vigorously implemented the Northern Shelter Forest Project, afforestation and greening projects, implemented the forest resource management and protection responsibility system, promoted the construction of ecological civilization, and significantly improved the ecological environment. While the declining areas are mainly located in the central and southern regions where mining activities and human activities are more intensive. The IRSEI in the study area showed a significant spatial positive correlation, and the agglomeration types of the spatial pattern were mainly high-high and low-low agglomeration types, with the high-high agglomeration types mainly distributed in the eastern and southwestern regions, and the low-low agglomeration types distributed in the northern and south-central regions of the study area. The trend of low and low agglomeration has decreased, which further proves that the ecological restoration measures taken by the government, such as returning farmland to forests, integrating protection and restoration of mountains, waters, forests, fields, lakes, grasslands, and sands, controlling soil erosion, and stage wise reclamation of coal mining subsidence areas, have improved the ecological environment quality of Shuozhou. This study provides a reference for understanding the spatiotemporal changes of the ecological environment of coal mining cities, and is conducive to formulating appropriate ecological protection strategies. [ABSTRACT FROM AUTHOR]

To solve the problem of controlling mining in the open-pit mine end slope fire-burned area, applying multivariate function fitting to the roof and floor modeling of multi-coal seam open pit mines, introducing the factor of coal quality changes in the fire-burned area, determining coal quality information at each location through proximate analysis of coal, to establish the net profit model of the mining area, it is determined the net profit of each mining position by numerical integration, the final mining position was determined without failure by calculating the slope stability based on the numerical simulation of strength reduction. Taking the Dananhu No. 2 open-pit mine in Hami, Xinjiang, China as the engineering background, the fire-burned area III within the southern end slope boundary of the first mining area is 240 m. It was finally determined that the optimal mining position is when the advancement degree is 182 m, the ultimate pit slope angle is 25°, the three-dimensional slope stability is 1.305, the profit is 671.96 million yuan, The deep boundary of the southern end slope fire-burned area of the slope is reduced by 58 m. This paper solves the problem of end slope mining in Dananhu No. 2 mine, and maximizes its net profit under the condition of ensuring safe production. [ABSTRACT FROM AUTHOR]

Water-rich open-pit mines can have problems with large water inflows, slope reinforcement difficulties, and hazardous mining risks. The construction of a water cut-off curtain to control groundwater in the loose layer of an open-pit mine can effectively reduce the amount of water that must be pumped and eliminate the problem of flooding in the pit. However, the rise of the water level outside the curtain and changes in the geotechnical properties of the slope's material will affect the stability and safety of the pit's slope. A computational model was constructed and limit equilibrium and numerical simulation methods were used to determine the influence of a water cut-off curtain on the stability of the slope. Results show that with the the water cut-off curtain, the water level outside of the cut-off curtain in the loose layer of the open-pit mine continues to rise and the hydrostatic pressure and horizontal thrust of the slope body increases. As a result, the sliding force of the slope increases and the resisting force decreases, ultimately lessening the slope- stability coefficient (factor of safety) of the open pit. If the construction position of the curtain is moved outward, the stability coefficient of the slope will increase, assuming that the water level outside the curtain remains unchanged. Conversely, if the position of the curtain is moved toward the pit, the stability coefficient of the slope will decrease. The maximum shear stress on the slope increases as the water level outside the water curtain rises. The maximum shear stress is mainly concentrated at the toe of the slope of the first bench below the surface and at the interface between the curtain and the bottom of the loose material. If designed properly, the water curtain can control the water table in the slope's material, maintaining the stability of the slope. [ABSTRACT FROM AUTHOR]

The impact of surface mining on surface runoff was reviewed in articles published from 2009 to 2020 indexed in Science Direct, Scopus, Web of Science, and Scielo databases. Measurement methods, quantities, influencing factors and trends of surface runoff in mining areas are presented and research gaps, challenges, and opportunities are discussed. A total of 10,274 articles were found, 39 of which were selected for qualitative and quantitative analysis. Among the methods, laboratory and field measurements using plots, and, to a greater extent, estimates are used worldwide to measure runoff in surface mining areas. Based on the reviewed articles, the surface runoff in the last decade ranged from 2.25 to 488 mm annually for rainfall between 386 and 2189 mm. Monthly values ranged from 0.5 to 83.3% of precipitation. Mine reclamation must primarily consider the vegetative cover, the soil structure, and the microrelief as factors that reduce surface runoff, which is the main trend when this is evaluated over time. The biggest challenges in monitoring surface runoff in mining areas are the long times required and the difficulty of collecting data in the field; in addition, when estimated by precipitation data, the values may have low precision. [ABSTRACT FROM AUTHOR]

Accurate estimation of the mean fragment size is crucial for optimizing open-pit mining operations. This study presents an approach that combines clustering, hyperparameter optimization, and data augmentation to enhance prediction accuracy using the Xtreme Gradient Boosting (XGBoost) regression model. A dataset of 110 blasts was divided into 97 blasts for training and testing, whereas a separate set of 13 new, unseen blasts was used to evaluate the robustness and generalization of the model. Hierarchical Agglomerative (HA) and K-means clustering algorithms were used, with HA clustering providing a higher cluster quality. To address class imbalance and improve model generalization, a synthetic minority oversampling technique for regression with Gaussian noise (SMOGN) was employed. Hyperparameter tuning was conducted using HyperOpt by comparing Random Search (RS) with the Advanced Tree-structured Parzen Estimator (ATPE). The combination of ATPE with HA clustering and SMOGN in an expanded search space produced the best results, achieving superior prediction accuracy and reliability. The proposed HAC1-SMOGN model, which integrates HA clustering, ATPE tuning, and SMOGN augmentation, achieved a mean squared error (MSE) of 0.0002 and an R2 of 0.98 on the test set. This study highlights the synergistic benefits of clustering, hyperparameter optimization, and data augmentation in enhancing machine learning models for regression tasks, particularly in scenarios with class imbalance or limited data. [ABSTRACT FROM AUTHOR]

The study of quantitative and qualitative indicators of the non-metallic mineral deposits mining based on recognized methods of economic and technological assessment to determine the damages and the development of technical–technological measures for the providing the mining industry of construction and bulk materials from the crisis in the post-war period. To assess the state of non-ore mineral deposits, the authors of the article used the following research methods: critical analysis of literary sources, statistical processing of data on the mines functioning and the probability of their manifestation in specific mining and geological conditions. Based on the selected UNIDO method, which is used for the evaluation of high-budget projects, the quantitative performance indicators of the selected quarries of non-ore raw materials have been established. Systematization and visualization of the obtained results were carried out with the help of Excel calculation tables from the available software product MS Office. The main problems associated with the activity of mining enterprises that develop deposits of non-ore useful minerals are highlighted. Qualitative and quantitative values of the work of the selected mines have been prepared according to European standards, which serve as initial data for assessing the economic attractiveness and the possibility of their restructuring in the post-war period. A forecast of the development of the industry is provided on the example of individual technological units of entrepreneurial activity for the nearest period. Dependencies of changes in production capacity indicators of mining enterprises developing non-ore mineral deposits have been established. Data on the spatial distribution of reserves of construction and backfill materials (gravel, sand, clay) were studied. Using generally recognized international methods of assessing the efficiency of enterprises, changes in the priority of mine development were determined depending on the needs of the Ukrainian economy and the destruction of territories caused by military actions, that appeared due to the aggression of the RF. The effectiveness of the methodology was proposed and confirmed, which allows determining the operative parameters of mines, which are mining non-ore mineral deposits. It gives the possibility to assess the economic attractiveness of individual mines and subsequently predict the possibility of their restructuring for the introduction of the innovative equipment and technologies in accordance with generally recognized international standards. [ABSTRACT FROM AUTHOR]

Open-pit coal mining offers high resource recovery, excellent safety conditions, and large-scale production. However, the process generates significant dust, leading to occupational diseases such as pneumoconiosis among miners and adversely affecting nearby vegetation through dust deposition, which hinders photosynthesis and causes ecological damage. This limits the transition of open-pit mining to a green, low-carbon model. Among these processes, blasting generates the most dust and has the widest impact range, but the specific amount of dust generated has not yet been thoroughly studied. This study integrates indoor experiments, theoretical analyses, and field tests, employing the Split Hopkinson Pressure Bar (SHPB) system to conduct impact loading tests on coal–rock samples under pressures ranging from 0.13 MPa to 2.0 MPa. The results indicate that as the impact load increases, the proportion of large-sized blocks decreases while smaller fragments and powdered samples increase, signifying intensified sample fragmentation. Using stress wave attenuation theory, this study translates indoor impact loadings to field blast shock waves, revealing the relationship between blasting dust mass fraction and impact pressure. Field tests at the Haerwusu open-pit coal mine validated the formula. Using image recognition technology to analyze post-blast muck-pile fragmentation, the estimated dust production closely matched the calculated values, with an error margin of less than 10%. This formula provides valuable insights for estimating dust production and improving dust control measures during open-pit mine blasting operations. [ABSTRACT FROM AUTHOR]

Given the global importance and limited availability of phosphate, optimizing the use of this critical resource and minimizing its wastage are of paramount importance. In this context, this paper proposes an innovative architecture for the implementation of an intelligent video surveillance system specifically designed for open-pit phosphate mines. The proposed architecture is designed to meet the overall functional requirements of a surveillance system in the challenging environment of open-pit mining, while aligning with the guidelines of the Mine 4.0 revolution. It incorporates advanced technologies that address the critical challenges of latency, data security, and transparency commonly encountered in traditional monitoring systems. By adopting a multi-layered approach that leverages edge, fog, and cloud computing, coupled with blockchain technology and expert collaboration, our architecture offers a comprehensive framework for efficient data processing at every stage, from initial data acquisition to real-time anomaly detection and decision-making. [ABSTRACT FROM AUTHOR]

Noise pollution is an unintentional consequence of mining activities, needing rigorous assessment, monitoring, and mitigation techniques to reduce its impact on local residents and ecosystems. The study specifically examines the noise pollution from rare earth mining activities in the Neendakara-Kayamkulam (NK) coastal belt, Kollam, Kerala, India, a region rich in ilmenite, rutile, sillimanite, zircon, and monazite. Despite the known environmental and health impacts of noise pollution, there is limited specific data on its magnitude and sources in this region, as well as a lack of effective mitigation strategies tailored to rare earth mining operations. Studies have indicated that mining operations, such as the movement of heavy mineral sands, considerably elevate noise levels, which have an effect on the environment's quality and public health. This study seeks to fill the gap by geospatial mapping and assessing the noise levels and recommend measures to effectively mitigate noise pollution. Systematic noise measurements were conducted at 48 suitable locations within the NK coastal belt, including residential, commercial, industrial, coastal, and silence zones. The noise levels vary from 49.1 dB(A) near a religious place to 82.4 dB(A) near the local industry. The study employs geospatial noise mapping and land cover superimposition to implement class-specific mitigation measures for noise pollution in a coastal vicinity mixed land use area, including natural and vegetative barriers, operational scheduling, zoning, and land use planning. [ABSTRACT FROM AUTHOR]

This study presents a unique model for assessing the dependability of continuous parts of combined systems in open-pit mining through the application of fuzzy logic. Continuous sub-systems as part of the combined system of coal exploitation in surface mines have the basic function of ensuring safe operation, high capacity with high reliability, and low costs. These subsystems are usually part of the thermal power plant's coal supply system and ensure stable fuel supply. The model integrates various independent partial indicators of dependability into an expert system specifically designed for evaluating these systems. It deconstructs the complex parameter of system dependability into distinct partial indicators: reliability, maintainability, and logistical support. These indicators are then integrated using fuzzy composition (max-min composition). Historical data from 2018 to 2023 are utilized alongside the fuzzy model to provide a retrospective analysis of system dependability, serving to validate the model's effectiveness. What sets this model apart from conventional approaches is its consideration of practical dependability indicators, thereby obviating the need for extensive long-term monitoring and data collection to portray the system's status accurately over time. This model serves as a valuable tool for assisting decision-makers in open-pit mining operations, facilitating planning, exploitation control, and the selection of maintenance strategies to ensure consistent production and cost reduction. Designed for quick assessment, the model relies on expert judgments and assessments to determine system dependability efficiently. [ABSTRACT FROM AUTHOR]

This article analyses and evaluates the model used by the Jastrzebie Coal Company in Poland to forecast the values of continuous deformations of land surfaces caused by underground mining. Particular attention is paid to the values of terrain inclinations, which cause significant deflections of buildings located in mining areas affected by exploitation. The inclination forecasts were made using Bialek's model, with the values of its parameters determined in situ and after completion of the exploitation of a longwall. The obtained results were compared with the values of the terrain inclinations calculated from the results of geodetic measurements carried out at observation points located near the buildings and discontinuous linear deformations (i.e., the ground steps). The conducted research shows that the correlations between the absolute values of the practical inclinations and the values of the theoretical inclinations were rather weak, as the values of their correlation coefficients did not exceed 0.24. The tested model underestimated 45.5% of the values of the inclinations observed in situ by an average of −53.5%. The model values of the inclinations for the remaining observed inclinations (54.5%) were overestimated by an average of 461.9%. The largest anomalies were obtained in the case of inclination values from points located near the ground steps. The effectiveness of predicting inclination values with a commonly used model is strongly reduced when discontinuous linear deformations appear. Nonetheless, it reflects well the mining area categories. [ABSTRACT FROM AUTHOR]

Surface subsidence hazards in mining areas are common geological disasters involving issues such as vegetation degradation and ground collapse during the mining process, which also raise safety concerns. To address the accuracy issues of traditional prediction models and study methods for predicting subsidence in open-pit mining areas, this study first employed 91 scenes of Sentinel-1A ascending and descending orbits images to monitor long-term deformations of a phosphate mine in Anning City, Yunnan Province, southwestern China. It obtained annual average subsidence rates and cumulative surface deformation values for the study area. Subsequently, a two-dimensional deformation decomposition was conducted using a time-series registration interpolation method to determine the distribution of vertical and east–west deformations. Finally, three prediction models were employed: Back Propagation Neural Network (BPNN), BPNN optimized by Genetic Algorithm (GA-BP), and BPNN optimized by Artificial Bee Colony Algorithm (ABC-BP). These models were used to forecast six selected time series points. The results indicate that the BPNN model had Mean Absolute Errors (MAE) and Root Mean Squared Errors (RMSE) within 7.6 mm, while the GA-BP model errors were within 3.5 mm, and the ABC-BP model errors were within 3.7 mm. Both optimized models demonstrated significantly improved accuracy and good predictive capabilities. [ABSTRACT FROM AUTHOR]

Research on the types of deep foundation pit support for large water conservancy engineering tunnels, in order to provide new methods for deep foundation pit support and further expand the application scope of deep foundation pit support. By comparing the technical feasibility, sustainable development, and economic rationality of several types of support for deep foundation pits, such as cement soil piles, underground continuous walls, and interlocking piles, and combining with the stability calculation of deep foundation pit support, the safety of the support types is reviewed. The interlocking pile has good waterproof performance, high overall stiffness, and small deformation in deep foundation pits, ensuring the safety of excavation of the entrance slope of large water conservancy tunnels with poor geological conditions, and creating safe conditions for the smooth excavation and operation of tunnels; Adopting bite pile support at the entrance of the large cross-section tunnel takes up less space, effectively solving the difficulties of land acquisition and demolition. Dry hole operation makes it easy to form holes, and the construction speed is faster, creating conditions for timely completion of construction; The construction cost of bite pile is low, there is no need to discharge mud, and the mechanical equipment has less vibration and low noise. Compared with deep foundation pit support types, interlocking piles have higher economic, safety, and environmental friendliness, effectively enhancing the application range of interlocking piles and providing new methods for design. [ABSTRACT FROM AUTHOR]

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Wetlands in the Oil Sands Region of Alberta are vulnerable to direct and indirect effects of human development including land disturbance, hydrologic alteration, and addition of contaminants. Nineteen wetlands in the Athabasca Oil Sands Region were monitored over a five-year period to evaluate differences in water quality and benthic invertebrate composition between sites near to and further afield from surface mining operations. Concentrations of dissolved sulphate, dissolved iron, total dibenzothiophenes and specific conductance were significantly higher in wetlands near to surface mining operations. In addition, beta diversity of wetland invertebrates was higher in wetlands further afield of the industrial centre. Drivers of benthic assemblage differences among sites include specific conductance and pH. Conductance was positively correlated with Caenidae (Ephemeroptera) abundance and pH was negatively correlated with abundance of Naididae (Annelida). [ABSTRACT FROM AUTHOR]

Mining is a high-risk industry where occupational accidents are common due to its complex nature. Therefore, providing a more holistic and dynamic risk assessment framework is essential to identify and minimize the potential risks and enhance safety measures. Unfortunately, traditional risk assessment methods have limitations and shortcomings, such as uncertainty, differences in experience backgrounds, and insufficiency to articulate the opinions of experts. In this paper, a novel risk assessment method precisely for such cases in the mining sector is proposed, applied, and compared with traditional methods. The objective of this study is to determine the risk scores of Turkish Coal Enterprises, based on non-fatal occupational accidents, which operates eight large-scale open-cast coal mine enterprises in Türkiye. The causes of the accidents were categorized into 25 sub-criteria under 6 main criteria. The risk scores for these criteria were computed using the Pythagorean fuzzy Analytical Hierarchy Process (PFAHP) method. The first shift (8–16 h) (0.6341) for the shift category is ranked highest out of the 25 sub-risk factors, followed by maintenance personnel (0.5633) for the occupation category; the open-cast mining area (0.5524) for the area category, the 45–57 age range (0.5279) for employee age category, and the mining machine (0.4247) for the reason category, respectively. The methodologies proposed in this study not only identify the most important risk factors in enterprises, but also provide a mechanism for risk-based rankings of enterprises by their calculated risk scores. The enterprises were risk-based ranked with the fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) method and Paksoy approach based on interval type-2 fuzzy sets (IT2FSs). The findings indicate that the first three risk score rankings of enterprises are the same for both approaches. To examine the consistency of the applied methods, sensitivity analyses were performed. The results of the study also indicate that the proposed approaches are recommended for effective use in the mining sector due to their ease of application compared to other methods and their dynamic nature in the risk assessment process. [ABSTRACT FROM AUTHOR]

This article presents data on main technological fleet of excavation-loading equipment of mining enterprises of Uzbekistan, which traditionally are consumers of open-pit rope excavators of ECG type. Uzbekistan is traditionally consumer of open-pit rope excavators of ECG type. The data on experience of operation of open-pit hydraulic excavators by mining enterprises of Uzbekistan as of 2022 is given. The methodology of determination of time of working out and productivity of excavator at development of inclined exit ledge in conditions of coal mine Angrensky (Uzbekistan) is given. The calculation of time of working of the exit ledge is made and the average operational productivity of the excavator is determined. The technology of ledge mining by longitudinal drifts with the use of mobile excavatorcrushing complexes at the lateral location of the bottom-hole conveyor and the presence of a mobile interstage loader with consecutive mining operations on two horizons is presented. According to the given technological scheme the methodology of determination of the full working cycle of the complex is recommended. The estimation of excavator bucket filling coefficient at different face height and different depth of bucket penetration into the face is carried out. A mathematical model for determining the area of the digging segment of a quarry excavator is developed. The mathematical model of definition of the area of excavation volume for a single digging cycle considering the depth of bucket penetration into the face is proposed for the refined estimation of face parameters. [ABSTRACT FROM AUTHOR]

While open-pit mining activities represent one of the human-derived most impactful land cover changes, these changes and the linked restoration processes can be challenging to assess. This article presents a reproducible methodology carried out with cloud processing of satellite images (Google Earth Engine (GEE)) to evaluate the evolution of open-pit mining activities and their restoration in a Mediterranean landscape. For this purpose, the calculation of the normalized differential vegetation index (NDVI) was used to obtain a quantitative parameter to monitor vegetation presence in each extractive area. To validate these results, confusion matrices were performed between the classification obtained in the study and the official land cover mapping, using randomly selected mining areas as test points, with an average accuracy of 88%. According to the methodology used, the surface of areas denuded by mining in the period 1984–2023 has fluctuated over time, with a maximum in 2005 coinciding with the peak of the Spanish construction boom, and a subsequent decrease towards the present. From these results, it can be concluded that Landsat-type data processed using GEE provide a quick and useful tool for monitoring the evolution of mining activity, including restoration trends, becoming particularly valuable for public bodies' inspections or decision making. [ABSTRACT FROM AUTHOR]

The predominant presence of weak interlayers primarily composed of mudstone renders them highly susceptible to a reduction in bearing capacity due to the water-rock weakening effect, significantly impacting the safety of open-pit mining operations. This study focuses on the weak mudstone layers within open-pit mine slopes. The mineral composition of mudstone and the microstructure evolution characteristics before and after water wetting were analyzed by X-ray diffraction (XRD) and scanning electron microscope (SEM). The mesostructure and parameter variation characteristics of mudstone interior space after water-rock interaction were quantified by computed tomography scanning test, and the damage variable characterization method was proposed. Additionally, according to the uniaxial compression test, the degradation characteristics of the macroscopic mechanical behavior of mudstone under different water wetting time were explored, and the elastic modulus and strength attenuation model of mudstone based on mesoscopic damage were established. Finally, building upon the macro-meso structural response characteristics of mudstone, an exploration of the failure characteristics and deterioration mechanism under the influence of waterrock interactions was undertaken. The results show that the water-rock interaction makes the internal defects of mudstone gradually develop and form a fracture network structure, which eventually leads to the deterioration of its macroscopic mechanical properties. The porosity, fractal dimension and damage characteristics of mudstone show an exponential trend with the increase of water wetting time. Moreover, the deterioration mechanism of mudstone after water wetting are postulated to encompass factors such as the hydrophilicity of mineral molecular structures, hydration stress and expansion effects on clay particles, as well as the spatial distribution of microcracks and the phenomenon of fracture adsorption. The outcomes of this research endeavor aim to provide certain reference value for further understanding the water-rock interaction and stability control of mudstone slope. [ABSTRACT FROM AUTHOR]

The development of the open-pit mining industry has set higher performance standards for mining electric shovels. Addressing issues such as low efficiency, high energy consumption, and high failure rates in working mining electric shovel devices, this paper comprehensively considers bulk mechanics, structural mechanics, and dynamics to conduct a multidisciplinary, collaborative design optimization for electric shovels by introducing the BLISCO method, which is based on an approximated model, into the structural-optimization design process of working electric shovel devices, aiming to enhance the overall performance of electric shovels. Firstly, a dynamic model of an electric shovel is established to analyze the hoist force and crowd force during the excavation process, and an accurate load input for the dynamic analysis is provided through the bulk material mechanics model. Additionally, to ensure that the stiffness of the boom meets the requirements, the maximum stress at the most critical position of the optimized boom is considered. Subsequently, the design variables are screened through experimental design, and an approximate model is established. Focusing on the hoist force, crowd force, maximum stress at the critical position of the boom, and the angle between the dipper arm and the wire rope, a mathematical model is constructed and optimized using a two-level integrated system co-optimization framework based on an approximate model (BLISCO-AM), followed by a simulation. Finally, a test bench for the electric shovel working device is constructed to compare pre- and post-optimization performance. Experimental results show that through the optimized design, the hoist force and crowd force required in a single excavation process are reduced by 6% and 8.48%, respectively, and the maximum angle between the wire rope and the dipper arm is increased by 4%, significantly improving excavation efficiency while ensuring the safety and reliability of the equipment. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

It is indicated that the protection of the natural environment, the rational use of natural resources, ensuring the ecological safety of human activities are an integral condition for the sustainable economic and social development of Ukraine. Mining, including open-pit mining, is an important source of economic development and economic independence of the state. However, open-pit mining is accompanied by a significant negative impact on the environment. Therefore, in the context of European integration, environmental safety in open pit mining as a component of environmental safety is of great importance for Ukraine's national security. Due to the lack of scientific developments and clear legislative regulation of the issue of environmental safety in open pit mining, it is necessary to study the concept and legal features of legal support for environmental safety in open pit mining. To this end, the article highlights various scientific approaches to the definition of the concept of environmental safety and leg al support, and provides a legal analysis of these concepts, on the basis of which the author derives the concept of environmental safety in open pit mining, as well as the concept and legal features of legal support for environmental safety in open pit mining. To this end, the article highlights various scientific approaches to the definition of the concept of environmental safety and legal support, and conducts a legal analysis of these concepts, on the basis of which the author derives the concept of environmental safety in open pit mining, as well as the concept and legal features of legal support for environmental safety in open pit mining. As a result of the study, it is established that the study of the concept of environmental safety in open-pit mining is relevant and has practical significance for determining the ways and means of ensuring it, taking into account all the specifics of open-pit mining. And the study of the concept and legal features of legal support for environmental safety in open pit mining provides an opportunity to work out the shortcomings and develop effective legal mechanisms to ensure it. Therefore, this research is important both for the theory of environmental safety law and environment al law in general, and in practice. [ABSTRACT FROM AUTHOR]

This paper proposes a multi-site global optimisation model of blending operations, alternative routings and order scheduling with a co-production flow. It is performed in a phosphoric supply chain owning three open-pit mines of different geological structures and chemical compositions, each having a dry blending plant. One main challenge of the phosphate industries is to produce merchantable ores (MO) that verify a quality charter (chemical composition) with chemical heterogeneous source ores (SO). Thus, a process of SO blending followed by a treatment is mostly necessary to obtain the required MO. Six alternative routings exist to produce an MO; one of them involving a calcination plant generates a co-product. The model objective is to determine the least costly production programme of a set of MO orders to be delivered within precise time windows, in given quantities and compliance with a specific quality charter, by assigning for each MO its blending plant, routing, blend of SOs and production schedule; it also defines the feeding of the blending plants. A real case study illustrates the proposed model. [ABSTRACT FROM AUTHOR]

The vegetation net primary productivity (NPP) is a key indicator for evaluating vegetation carbon sequestration. Exploring its spatiotemporal changes and impact factors is essential for coal mining and ecological restoration in open‐pit mining areas. This study utilized the Carnegie‐Ames‐Stanford‐Approach (CASA) model to calculate monthly vegetation NPP in the Xiwan mine area, a typical open‐pit mine in northwestern China. The trend, stability, and persistence analysis were conducted, along with the development of a grading method to examine the vegetation NPP spatiotemporal variation across different land cover types. Statistical grading and correlation analysis were used to explore the relationships between the topographical factors, meteorological factors, human activities, and vegetation NPP. The following results were obtained: (1) The vegetation NPP in the study area exhibited a high stability and anti‐persistent decrease in trend. NPP reached a peak of 143.49 g C/(m2 year) in 2017, but declined to a low of 118.38 g C/(m2 year) in 2021. (2) The vegetation NPP decreases with increasing elevation and slope, and a relatively strong correlation with temperature and precipitation was also observed. (3) The impact intensity of human activities on vegetation NPP exhibited a rising and fluctuating volatile trend. In 2021, the inhibition of vegetation NPP by human activities reached its peak at 166.42 g C/(m2 year), with an impact effect share of 36.9%. This research provides a comprehensive framework for vegetation NPP analysis in open‐pit mining, offering valuable insights for ecological conservation in mining ecosystems. [ABSTRACT FROM AUTHOR]

This study established a numerical model that considers elevation conditions and slope shape factors by the modified Sadovsky formula to analyze the vibration attenuation law of open-pit slopes under blasting vibration conditions. The blasting excavation of a slope in a certain open-pit mine in Yunfu, Guangdong, is selected as an example. Using a numerical model that considers elevation conditions and slope shape factors by the modified Sadovsky formula, a triangular pulse load was utilized to approximate the time-history characteristics of explosion vibration with FLAC[sup 3D] software. The simulation results showed the radiation range of the blasting vibration seismic wave. By comparison with field monitoring data, the numerical model that considers the slope shape factor had a relative error of ~10%, while the numerical model that disregards the slope shape factor had a relative error of ~15%. The relative accuracy of the calculation results of the new numerical model is higher and closer to the actual attenuation law of blasting particle vibration speed, providing more reliable results for slope stability assessment. The peak particle velocities obtained from the numerical simulation results were generally higher than the field monitoring data. These discrepancies might be attributed to the use of simplified models that disregard the discontinuous structural planes within the rock mass. This study provides an important reference for the stability assessment of open-pit slopes under blasting vibration conditions, offering guidance for improving slope stability assessment and related engineering practices. [ABSTRACT FROM AUTHOR]

Citizen participation in decision-making is a fundamental democratic pillar of democracy. However, the degree of citizen involvement and recognition by governmental institutions may be conditioned by the level of competence and knowledge demonstrated. Therefore, carrying out collective projects can contribute to strengthening citizen engagement in water management issues. Nonetheless, there is limited knowledge about the various types of citizen engagement and the practices that have facilitated greater inclusion in decision-making regarding water resources. This study aims to identify and analyze practices that strengthen water community organizations through citizen monitoring-based involvement. A systematic literature review was conducted using the PRISMA method. The research was guided by the following questions: What are the differences in the level of citizen involvement and the degree of transformation facilitated by citizen monitoring of water quality (CMWQ) between the global North and South? What practices strengthen community organizations in decision-making based on CMWQ? Moreover, what challenges do community water organization structures community water organization structures face when based on CMWQ? A total of 161 publications were identified for the analysis of critical themes. After applying the eligibility criteria, 33 documents were selected for content analysis. The reviewed monitoring exercises indicate that the highest level of citizen organization achieved by participants is commonly recognized as "Water Committees". One practice that strengthens these committees is the generation of collaboration agreements among different types of allies, based on a shared objective. However, in the Global South and at the institutional level, there is still resistance to water quality data generated by citizen monitors, especially in regions with large-scale open-pit mining projects. To sustain the efforts of community figures, monitoring programs with public funding need to be established, and public policies supporting these initiatives at the institutional level must be implemented. [ABSTRACT FROM AUTHOR]

Coal mining has a certain influence on and causes disturbances in groundwater. To investigate the variation trend of groundwater around the open-pit mine in grassland area, taking Shengli No. 1 open-pit mine as an example, the impact and variation trend of groundwater level in Quaternary aquifer around the mine area was studied by using the data of hydrological monitoring wells. The results show that the water level around the mining area varies from one year to the next. Since 2008, the water level has experienced a process of reduction, stability and increase. Compared with the background water level value, the current water level of each monitoring well is lower than the background water level. The influence radius calculated by Kusakin formula ranges from 94.15 m to 906.80 m, and the aquifer is heterogeneous. On the basis of the correlations between changes in waterline in monitoring wells and the stope distance, the disturbance radius of open-pit mining on surrounding diving water in grassland area is less than 2000 m. Based on the comprehensive analysis of the alteration of diving waterline and its influencing factors, the main factors affecting the variation in the phreatic water level are atmospheric precipitation, evaporation, groundwater usage and dewatering water. All factors act on the diversification of diving water level synthetically. The internal waste dump of an open-pit mine has a positive effect on the surrounding groundwater recovery. The aim of this study is to reveal the impact of open-pit mining on surrounding groundwater and providing scientific basis for future mining in other open-pit mines. [ABSTRACT FROM AUTHOR]

In the era of remote sensing big data, the intelligent interpretation of remote sensing images is a key technology for mining the value of remote sensing big data and promoting a number of major applications, mainly including land cover classification and extraction. Among these, the rapid extraction of open-pit mining areas plays a vital role in current practices for refined mineral resources development and management and ecological–environmental protection in China. However, existing methods are not accurate enough for classification, not fine enough for boundary extraction, and poor in terms of multi-scale adaptation. To address these issues, we propose a new semantic segmentation model based on Transformer, which is called Segmentation for Mine—SegMine—and consists of a Vision Transformer-based encoder and a lightweight attention mask decoder. The experimental results show that SegMine enhances the network's ability to obtain local spatial detail information and improves the problem of disappearing small-scale object features and insufficient information expression. It also better preserves the boundary details of open-pit mining areas. Using the metrics of mIoU, precision, recall, and dice, experimental areas were selected for comparative analysis, and the results show that the new method is significantly better than six other existing major Transformer variants. [ABSTRACT FROM AUTHOR]

The flow characteristics of blasthole stemming slurry (BSS), predominantly comprising yellow mud (YM), tail mud (TM), or drilling cuttings (DC), were systematically investigated. Various influencing factors, including slurry mass concentration, the addition of TM or DC, and the mass ratio of TM to YM (TM/YM) and DC to YM (DC/YM), were meticulously examined. Experiments were conducted to assess the fluidity, rheological properties, and bleeding rate of BSS samples, which were prepared by manipulating slurry mass concentration and the proportions of TM or DC. The results indicate that the rheological properties of BSS are suitably described by the Herschel-Bulkley model. A critical mass concentration was identified, beyond which the flowability of BSS rapidly deteriorates. Replacing YM with an equivalent amount of TM at a mass concentration of 59% increased the yield stress by 167.30%, while reducing the bleeding rate to 0 within the 53%-59% mass concentration range. Conversely, replacing YM with DC at a mass concentration of 62% reduced the yield stress by 63.96%, while increasing the 60-minute bleeding rate from 0% to 1.44%. Increasing the TM/YM ratio resulted in reduced fluidity, elevated yield stress, and a variable degree of shear thickening. The degree of shear thickening was highest when the TM/YM ratio was 1, with significant impacts on differential viscosity at higher shear rates. On the other hand, increasing the DC/YM ratio enhanced fluidity, decreased yield stress, and influenced the degree of shear thickening and differential viscosity, with the highest shear thickening and lowest differential viscosity observed at a DC/YM ratio of 3. The bleeding rate of BSS consistently rose with the increase in the DC/YM ratio. [ABSTRACT FROM AUTHOR]

The open-pit production system is a highly dynamic and uncertain environment with complex interactions between haulage and loading equipment on a shared road network. One of the key decisions in open-pit short-term planning is the allocation sequence of shovels to mining faces to meet the production targets established by long- and medium-term strategic plans. Deep Reinforcement Learning(DRL) techniques are commonly used in dynamic production environments. In this approach, an agent is trained on a simulation of the production system to learn the optimal decisions based on the system's current state. This paper proposes a DRL approach based on the Deep Q-Learning algorithm to obtain a robust shovel allocation plan for open-pit short-term planning. First, a discrete-event simulation of the mining production system incorporating trucks, shovels, crushers, waste dumps, and the road network is created. This simulation models the uncertainties of each component's operating cycle based on historical activity records, and it is used to train the DRL agent. The goal is to learn a robust shovel allocation strategy for the next production quarter, 3 months, to meet the tonnes per hour (TPH) production target to be delivered to the crusher feeds by interacting with the production simulator. The framework is tested in an iron ore open-pit mine case study where the shovel allocation agent successfully learns a strategy that consistently delivers the desired production target. [ABSTRACT FROM AUTHOR]

Stochastic optimisation of open-pit mine production scheduling maximises the NPV of a mine's extraction sequence while satisfying production constraints and minimising deviations from targets. Past approaches consider mining block access based on slope constraints, thus providing no guarantee that the infrastructure required for equipment access is feasible. To address this issue, a joint stochastic optimisation of life-of-mine production scheduling and ramp design is proposed, ensuring feasible equipment access to the related mining blocks. An application at a gold mine demonstrates the value of considering the complex relationship that exists between ramp design, equipment access and production scheduling during optimisation. [ABSTRACT FROM AUTHOR]

Despite significant reductions in fatal injuries in the mining industry, the number of accidents remains unacceptable. Ongoing concern persists regarding mine equipment. This study analyzes the Mine Safety and Health Administration (MSHA) data from 241 final reports of fatal injuries in U.S. surface mines between 2008 and 2021. Predominantly, powered-haulage was the leading source of fatalities; novice miners were particularly vulnerable, and the most significant root cause group was 'Failure to follow safe work procedures and conditions while performing the task'. Results should heighten hazard awareness for industry professionals, helping them identify and prioritise safety issues in surface mining systems. [ABSTRACT FROM AUTHOR]

Purpose: In order to investigate the effects of the dual action of F-T cycles and dynamic perturbation on the stability of slopes in open pit mines in cold regions. Method: we use the pendulum impact-loaded Split Hopkinson Pressure Bar(SHPB)test system to explore dynamic peak loads, loading rate sensitivity, and damage modes of intact granite and prefabricated single-crack granite specimens under dry, water-saturated, and frozen conditions. Additionally, we modeled dynamic Brazilian splitting tests of saturated specimens with empty cracks to verify their accuracy and subsequently simulate the damage patterns and strength-rate effects of crack-filled saturated specimens under different loading rates. Result: The results indicate that, under identical loading rates, the dynamic tensile peak load of frozen specimens is the highest, then the dry specimens, the saturated one is the lowest. The peak load of intact specimens exceeds that of specimens containing cracks, suggesting that pre-existing cracks reduce the peak load of specimens. Furthermore, the dynamic tensile peak load of specimens under different water contents and freezing states is positively correlated with the loading rate, demonstrating the loading rate strengthening effect. Specifically, the rate of increase for the dynamic tensile peak load of intact and cracked specimens under dry, water-saturated, and frozen conditions is 0.465, 0.456, 0.445, 0.479, 0.438, 0.480, respectively. This implies that freezing enhances dynamic strength, saturation weakens strength, and pre-existing cracks amplify loading rate sensitivity. Additionally, crack saturation increases the strength of saturated specimens and expands the range of crack propagation. Conclusion: The research findings provide experimental and simulation support for revealing the dynamic fracture mechanism of rocks with single fractures under different freezing conditions. [ABSTRACT FROM AUTHOR]

Post-mining land management is an integral part of surface mining and quarrying operations. In this context, the questions raised concern what course of action is mandated by laws and regulations; what type of land reclamation should be implemented, taking into account the site-specific conditions prevailing in each mining area; what are the appropriate land uses; and by what criteria and methodology can these be determined? The literature review conducted as part of the present study revealed that in addition to the traditional 4R actions of land management, namely remediation, restoration, reclamation, and rehabilitation, two more actions, repurposing and co-purposing, have now been added, with the purpose to address the social and economic impacts of mine closures. Furthermore, numerous land uses were documented and categorized into 11 classes, 38 sub-classes, and 119 alternatives. Nine criteria for selecting land uses were identified, expressed through 72 attributes that served as input information for 22 multicriteria methods, which, in most cases, were applied in combination of two or more. [ABSTRACT FROM AUTHOR]

Purpose: Over the past three decades, open-pit mining has been expanding in arid and semi-arid areas of China.Open-pit mining profoundly changes the soil environment and has a profound impact on the circulation of soil water in the aeration zone.Therefore, this research explores the impacts of open-pit coal mining on soil moisture processes in the semi-arid grasslands of Eastern Inner Mongolia Autonomous Region, China. Materials and methods: Soil samples were collected from depths of 0–500 cm at Shengli No. 1 open-pit mine's inner dump and a nearby natural grassland. These soil samples were analyzed for stable isotope characteristics ( δ 2 H , δ 18 O ) and moisture content. Collection of underground water samples inside and outside the mining area for conductivity analysis. Results and discussion: Soil evaporation loss in the mine's inner dump was significantly higher than in the grassland, with rates of 22.26% for δ 18 O and 6.61% for δ 2 H . The limiting depth of soil evaporation at the mine was found to be 260 cm, compared to 200 cm in the grassland. The increased underground water conductivity in the mine area was linked to heightened soil evaporation loss. Isotopic profiling of the soil indicated that the open-pit mining led to deeper preferential flow infiltration during heavy precipitation, reaching 280 cm in the mine area versus 220 cm in the grassland. Conclusions: The surface soil moisture content (SMC) increased due to mining activities intensified water-heat exchanges with the atmosphere, leading to more frequent and severe wet-dry cycles. This study provides a comprehensive understanding of open-pit mining's impact on SMC, evaporation, and infiltration in semi-arid areas, offering critical insights for ecological reclamation and sustainable mine construction. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Mining Magazine is the property of China Mining Magazine Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Under the long-term effect of mineral resource exploitation, especially open-pit mining, ecosystems are severely disturbed. Constructing and optimizing urban ecological networks influenced by open-pit mines based on mine–city coordination helps integrate ecological restoration and the construction of urban ecological environments. We applied an InVEST model to Fushun City to evaluate urban ecosystem services under the influence of large open-pit mines. Twenty-one key patches important for maintaining landscape connectivity were screened as the ecological sources in the network, from which ecological resistance surfaces were constructed by combining the impacts of mines on the environment. Minimum cumulative resistance (MCR) and gravity models were then used to extract and classify ecological corridors favorable to species migration and diffusion. Fushun City had large spatial differences in ecosystem service functions, with high-value areas concentrated in the forest-rich Dongzhou District and the northern Shuncheng District. Under the influence of open-pit mining, the ecosystem service capacity of the region south of the Hunhe River was poor and lacked ecological sources. Urban ecological resistance surfaces reached a maximum in the open-pit mining area, and 210 ecological corridors were estimated using the MCR model, of which 46 were important. Only two corridors crossed the West and East open pit, forming two "ecological fracture surfaces." The Dongzhou and eastern Shuncheng districts had complex network structures and stable ecological environments. In contrast, the central and southern parts of Fushun City lacked ecological corridors owing to the influence of mining pits and gangue mountains, had simple network structures, and low connectivities with other sources. Combined with Fushun City's development plan, we propose that ecological network optimization should add new ecological source sites, reconstruct and repair ecological corridors, and upgrade ecological breakpoints. This study provides reference and basis for ecological network research in mining cities influenced by open-pit mines. [ABSTRACT FROM AUTHOR]