Mineral resources in Asia continent and its mining industry play a significant role in the economic growth and industrialization of both Asia and the world.Asia continent boasts the most comprehensive kinds of mineral...Mineral resources in Asia continent and its mining industry play a significant role in the economic growth and industrialization of both Asia and the world.Asia continent boasts the most comprehensive kinds of minerals,with reserves of at least 38 of over 80 widely used minerals worldwide accounting for more than30%of the global total reserves.Asia continent experienced three main tectonic evolution and mineralization stages:The Precambrian,the Paleozoic,and the Mesozoic to Cenozoic.The abundant mineral resources in this continent can be divided into seven first-order metallogenic belts(metallogenic domains),18 second-order metallogenic belts(metallogenic provinces),61 third-order metallogenic belts(metallogenic zones),and nine main minerogenetic series.Asia continent exhibits the most significant metallogenic specialization among all continents.Specifically,granite belts of Asia continent manifest pronounced metallogenic specialization of tin,rare metals,and porphyry Cu-Au-Mo deposits.Its maficultramafic rock belts and ophiolite belts display notable metallogenic specialization of lateritic nickel deposits and magmatic type chromite deposits,while its Mesozoic to Cenozoic basalt belts show remarkable metallogenic specialization of lateritic bauxite deposits.Consequently,many giant metallogenic belts were formed,including the Southeast Asian tin belt,the Qinghai-Xizang Plateau rare metal metallogenic belt,the Tethyan porphyry Cu-Au-Mo metallogenic belt,the circum-Pacific porphyry Cu-Au-Mo metallogenic belt,the Southeast Asian lateritic bauxite metallogenic belt,the Deccan Plateau lateritic bauxite metallogenic belt in India,the Southeast Asian lateritic nickel metallogenic belt,and the Tethyan magmatic type chromite metallogenic belt—all of which are significant metallogenic belts in Asia continent.Future mineral exploration in Asia should focus primarily on the Precambrian mineralization of ancient cratons,the Paleozoic mineralization of the Central Asian-Mongolian orogenic belt,and the Mesozoic to Cenozoic mineralization of the Tethyan and circum-Pacific mobile belts.Asia's mining industry not only underpins its own economic growth but also propels global economic development and industrialization,contributing significantly to the world economy.Asia boasts the highest production value of minerals,the largest annual production of minerals,and the greatest trade value of mineral products among all the continents,having emerged as the trade center of global mineral products and the center of the mining industry economy.China is identified as one of the few countries that possess the most comprehensive kinds of minerals,and its mining industry has supported and driven the economic development and industrialization of Asia and even the world.Standing as the largest mineral producer worldwide,China ranked first in the production of 28 mineral commodities in the world in 2022.Besides,China exhibits the highest annual production value of minerals and the largest trade value of mineral products among all countries.Therefore,China's demand for global mineral products influences the global supply and demand patterns of minerals and the world economic situation.展开更多
The compression effects on the thermoelastic and thermodynamic properties of cubic zincblende silicon-tin alloy(SiSn)were explored using a multi-methodological approach,deploying data mining methods,theoretical equati...The compression effects on the thermoelastic and thermodynamic properties of cubic zincblende silicon-tin alloy(SiSn)were explored using a multi-methodological approach,deploying data mining methods,theoretical equation-of-state parameters,and the Quasi-Harmonic Debye Model.We analyze the relative volume,isothermal bulk modulus,thermal expansion coefficient,Debye temperature,sound velocity,and microhardness of the SiSn compound under pressures up to 8 GPa.The study commences with the data mining-based searches for a structural model and continues with an analysis of the pressure dependence of the relative volume using the Vinet equation of state,followed by an investigation of the bulk modulus and other related thermoelastic properties.Moreover,the variation of microhardness with temperature is predicted,demonstrating a patent progressive decline as the temperature rises from 0 to 800 K.The thermodynamic properties of the SiSn compound have been explored using the quasi-harmonic Debye model in temperatures ranging from 0 to 800 K and pressures ranging from 0 to 8 GPa,respectively.In addition to the information not found in the literature and offered by this study,our work also establishes a simplified model that can predict the evolution of microhardness as a function of temperature,firstly for the SiSn compound,and perhaps can extend to group-Ⅳ semiconductors.展开更多
To address the critical gap in linking multi-compartmental transfer with risks of trace metals(Cd,Pb,As,Cr,Ni)in mining environments.This study systematically investigated the trans-media migration of Cd,Pb,As,Cr,and ...To address the critical gap in linking multi-compartmental transfer with risks of trace metals(Cd,Pb,As,Cr,Ni)in mining environments.This study systematically investigated the trans-media migration of Cd,Pb,As,Cr,and Ni in China’s Dexing copper mining district through paired sampling of water-amphibians,soil-earthworms,and air-lichens.Advanced methodologies were employed,including ICP-MS quantification for heavy metals,geochemical indices(Igeo,BCF,BAF)to assess bioavailability,NMDS for source apportionment,and HPLC to detect DNA methylation alterations.Aquatic systems exhibited severe Cd/Pb enrichment(16.25-24.42μg/L;11-15×WHO limits),while agricultural soils showed extreme Cd contamination(1.5 mg/kg;15×background).Biota displayed metal-specific accumulation:frogs achieved BCFs>1,000 for Pb/Cd,earthworms showed pH-modulated BAFs>2.5 for Cd/As,and lichens recorded 100-1,000×atmospheric Cr enrichment.NMDS resolved three contamination pathways:mining-derived Cd/Pb/As(MDS1=2.56),atmospheric Cr(PC2=1.84),and geogenic Ni.Cd dominated ecological risks(Eri=554.25;RI 300),while atmospheric Cr drove carcinogenic risks(TCR=4.11×10-5)exceeding safety thresholds.The source-media-biota-risk framework pioneers the integration of geochemical transport with epigenetic toxicity biomarkers,demonstrating that sub-lethal Cd/Pb exposure induces genome-wide DNA hypomethylation(2.4%-6.6%reduction;ρ=−0.71 to−0.91).This paradigm shift prioritizes bioavailability-informed regulations over concentration-based metrics,offering actionable strategies for sustainable development goals-aligned mining pollution control.展开更多
Intelligent green mining is emerging as a new paradigm for safer, cleaner, and more efficient mineral resource development. By integrating green mining principles with digitalization, automation, and artificial intell...Intelligent green mining is emerging as a new paradigm for safer, cleaner, and more efficient mineral resource development. By integrating green mining principles with digitalization, automation, and artificial intelligence, it offers a pathway to reduce environmental impacts, improve resource efficiency, and support the low-carbon transformation of the mining industry.展开更多
To identify the root causes of heavy metal contamination in soils as well as prevent and control such contamination from its sources,this study explored the accumulation patterns and ecological risks of heavy metals l...To identify the root causes of heavy metal contamination in soils as well as prevent and control such contamination from its sources,this study explored the accumulation patterns and ecological risks of heavy metals like Cd and Pb in solid waste in mining areas and across the water body,sediment,soil and agricultural product ecosystem surrounding the mining areas.Focusing on the residual solid waste samples in lead-zinc deposits in a certain area of Guizhou Province,along with samples of topsoils,irrigation water,river sediments,and crops from surrounding areas.This study analyzed the distributions of eight heavy metals,i.e.,Cd,As,Cr,Hg,Pb,Zn,Cu,and Ni,in the samples through field surveys and sample tests.Furthermore,this study assessed the contamination levels and ecological risks of heavy metals in soils,sediments,and agricultural products using methods such as the single-factor index,Nemerow composite index,and potential ecological risk assessment.The results indicate that heavy metals in the solid waste samples all exhibited concentrations exceeding their risk screening values,with 60%greater than their risk intervention values.The soils and sediments demonstrate slight and moderate comprehensive ecological risks of heavy metals.The single-factor potential ecological risks of heavy metals in both the soil and sediment samples decreased in the order of Hg,Cd,Pb,As,Cu,Zn,Cr,and Ni,suggesting the same sources of heavy metals in the soils and sediments.Most of the agricultural product samples exhibited over-limit concentrations of heavy metals dominated by Cd,Pb,Ni,and Cr,excluding Hg and As.The agricultural product assessment using the Nemerow composite index reveals that 35%of the agricultural product samples reached the heavy metal contamination level,implying that the agricultural products from farmland around the solid waste dumps have been contaminated with heavy metals.The eight heavy metals in the soil,sediment,and agricultural product samples manifested high coefficients of variation(CVs),indicating pronounced spatial variability.This suggests that their concentrations in soils,sediments,and agricultural products are significantly influenced by human mining activities.Additionally,the agricultural products exhibit strong transport and accumulation capacities for Cd,Cu,and Zn.展开更多
Due to the unique geological structure in the Guizhou region,issues such as stress concentration and inefficient resource utilization efficiency arise during repeated mining of close-distance coal seam.This study focu...Due to the unique geological structure in the Guizhou region,issues such as stress concentration and inefficient resource utilization efficiency arise during repeated mining of close-distance coal seam.This study focuses on the Longfeng Coal Mine in Guizhou,investigating the evolution of stress arches and abutment pressure distribution under repeated mining conditions through similarity simulations,numerical simulations,and theoretical analysis.The study introduces a novel composite stress arch model,which more accurately represents stress evolution under complex mining conditions compared to traditional single arch theories.The model highlights the gradual transformation of a single stress arch into a composite structure,accounting for the increasing complexity of the stress distribution.Based on these evolution characteristics,a mechanical model of composite arches under nonlinear loading was developed.The calculation results and field monitoring data show that after repeated mining,the stop-mining coal pillar width should be optimized between 65 and 70 m.The research reveals the coupling relationship between the evolution of composite arches and the distribution of abutment pressure,which aids in optimizing coal pillar design,enhancing resource recovery rates,and ensuring the stability of roadways and stopes.展开更多
Existing reviews on deep-sea polymetallic nodule mining focus only on structural optimization of individual equipment,lacking a systematic analysis of full-chain key technologies oriented to the core dual goals of“co...Existing reviews on deep-sea polymetallic nodule mining focus only on structural optimization of individual equipment,lacking a systematic analysis of full-chain key technologies oriented to the core dual goals of“cost reduction and efficiency enhancement”,which cannot support the commercialization process.To fill this gap,this paper systematically sorts out the technological progress and bottlenecks in three core stages(seabed mining vehicle mobility,mineral collection,and ore lifting)based on the full-chain technical framework of“precise seabed nodule collection-long-distance stable transport”,and explores feasible cost-saving and efficiency-enhancing solutions.The results show that the unique soft sediment properties in nodule-rich areas(water content 312%-577%,internal friction angle<8°,undrained shear strength 4.0-15.5 kPa)are the primary factors limiting equipment stability.Optimized sharp triangular track shoes increase maximum traction by 120%under typical working conditions(15%slip ratio,0.6 m/s travel speed),while thick triangular ones achieve 70.4%higher traction with 18%weight reduction.Hydraulic collection dominates current technologies,with the Coanda effect scheme reaching 87%maximum efficiency,and multi-stage centrifugal hydraulic lifting is the engineering focus.Innovatively,the synergy of mining and carbon sequestration increases unit revenue by 606.3%and reduces CO2 sequestration cost by 62.8%,while the ORC system for wastewater energy recovery covers 15%-20%of total mining electricity demand.Core commercialization obstacles include uncoordinated mobility-collection systems,unstable pipeline transport,poor material adaptability to extreme conditions,and high costs.This paper clarifies key breakthrough directions for full-chain optimization,providing a systematic framework and technical reference for the industrialization of deep-sea polymetallic nodule mining technologies.展开更多
Based on the productivity equation of coalbed methane (CBM) well, considering the impact of coal reservoir reformability on gas well productivity, the main production layer optimization index in the “three-step metho...Based on the productivity equation of coalbed methane (CBM) well, considering the impact of coal reservoir reformability on gas well productivity, the main production layer optimization index in the “three-step method” of optimal combination of production layers is corrected, and then the CBM production layer potential index is introduced to evaluate favorable areas for commingled multi-coal seam production. Through analysis of the key parameters of coal reservoirs affecting the CBM productivity index, a development unit division method for areas with multi-coal seams is established, and a quantitative grading index system is proposed. On this basis, the evaluation process of CBM development favorable area is developed: the mature 3-D modeling technology is used to characterize the reservoir physical properties of multi-coal seams in full-scale;the production layer potential index of each grid is calculated, and the production layer potential index contour under single-layer or commingled multi-layer production are plotted;according to the distribution of the contour of production layer potential index, the quantitative index of CBM development unit is adopted to outline the grade I, II, III coal reservoir distribution areas, and thus to pick out the favorable development areas. The practical application in the Yuwang block of Laochang in Yunnan proved that the favorable area evaluation process proposed can effectively overcome the defects of selecting favorable development areas only relying on evaluation results of a major coal seam pay, and enhance the accuracy of the evaluation results, meeting the requirements of selecting favorable areas for multi-coal seam commingled CBM production.展开更多
The limited understanding of deep-sea environments has led to considerable attention regarding the potential environmental impacts of deep-sea mining.Legally regulations for deep-sea mining activities are urgently bei...The limited understanding of deep-sea environments has led to considerable attention regarding the potential environmental impacts of deep-sea mining.Legally regulations for deep-sea mining activities are urgently being formulated to minimize the environmental impacts for the upcoming commercial mining.Environmental impact assessment,as a critical foundation for the development of management systems,require comprehensive understanding and accurate information of the deep-sea ecosystem.However,the thresholds of environmental impact indicators are yet to be determined.This paper systematically summarizes the research results from existing nearshore ecological management measures,marine-related engineering projects,deep-sea disturbance tests,and biological toxicology experiments of neritic organisms.By combining the adaptability of different types of coastal organisms(such as fish,corals,sponges,jellyfish,and shellfish etc.)to the sea-water with suspended particles in existing studies,and considering the similarities between shallow-sea organisms and deep-sea organisms,it can provide available scientific knowledge for the formulation of deep-sea mining thresholds.Studies shows that certain organisms in the neritic zones can be treated as indicators for weighting deep-sea ecological environments.Hence,these current thresholds can be used as a reference for the initial threshold of deep-sea mining and later provide scientific support for the subsequent improvement of environmental thresholds.The deep-sea thresholds are specifically recommended as follows:sediment concentration of 0.5-2 mg/L is considered as no significant impact;2-5 mg/L is minor impact;5-10 mg/L is a moderate impact;more than 10 mg/L is a severe impact.The threshold for redeposition thickness is recommended as follows:0-1 mm is no significant impact,1-3 mm is minor impact,3-10 mm is a moderate impact,and>10 mm is a severe impact.展开更多
Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental con...Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental concept drift,gradually alter the behavior or structure of processes,making their detection and localization a challenging task.Traditional process mining techniques frequently assume process stationarity and are limited in their ability to detect such drift,particularly from a control-flow perspective.The objective of this research is to develop an interpretable and robust framework capable of detecting and localizing incremental concept drift in event logs,with a specific emphasis on the structural evolution of control-flow semantics in processes.We propose DriftXMiner,a control-flow-aware hybrid framework that combines statistical,machine learning,and process model analysis techniques.The approach comprises three key components:(1)Cumulative Drift Scanner that tracks directional statistical deviations to detect early drift signals;(2)a Temporal Clustering and Drift-Aware Forest Ensemble(DAFE)to capture distributional and classification-level changes in process behavior;and(3)Petri net-based process model reconstruction,which enables the precise localization of structural drift using transition deviation metrics and replay fitness scores.Experimental validation on the BPI Challenge 2017 event log demonstrates that DriftXMiner effectively identifies and localizes gradual and incremental process drift over time.The framework achieves a detection accuracy of 92.5%,a localization precision of 90.3%,and an F1-score of 0.91,outperforming competitive baselines such as CUSUM+Histograms and ADWIN+Alpha Miner.Visual analyses further confirm that identified drift points align with transitions in control-flow models and behavioral cluster structures.DriftXMiner offers a novel and interpretable solution for incremental concept drift detection and localization in dynamic,process-aware systems.By integrating statistical signal accumulation,temporal behavior profiling,and structural process mining,the framework enables finegrained drift explanation and supports adaptive process intelligence in evolving environments.Its modular architecture supports extension to streaming data and real-time monitoring contexts.展开更多
This paper presents a novel framework for the development of a real-time energy management system for mining microgrids,which integrates the benefits of a long short-term memory(LSTM)network and a feedforward neural n...This paper presents a novel framework for the development of a real-time energy management system for mining microgrids,which integrates the benefits of a long short-term memory(LSTM)network and a feedforward neural network(FNN)for the prediction of the load and solar power,and the optimization of the dispatch,respectively,while ensuring the safety of the microgrid through the application of a convex safety filter.In the proposed framework,the LSTM provides probabilistic multi-step forecasts of load and photovoltaic generation,capturing the high volatility characteristic of mining operations with ramp rates up to 5 MW/min.The FNN approximates the optimal power dispatch policy,enabling sub-millisecond inference times essential for real-time control.The convex safety filter projects the FNN’s proposed actions onto the feasible set defined by operational constraints,ensuring voltage regulation within±0.1%and preventing safety violations.The framework was validated using operational data from Jwaneng Mine,Botswana,within a MATLAB/Simulink co-simulation environment that couples discrete-time EMS decisions(15-min intervals)with continuous-time electrical dynamics(1-s resolution).Simulation results demonstrate an 18.7%reduction in operational costs,renewable energy utilization of 79.1%,voltage deviation of only 0.08%,and constraint violations reduced to 0.3%of intervals.The complete system achieves end-to-end latency of 50.8 ms,with the core optimization requiring just 0.8 ms,satisfying the stringent real-time requirements of mining microgrid control.展开更多
Nutrient-poor, sandy soils form the prevailing substrate at post-mining sites of the Lusatian region(Brandenburg, Germany) and present a challenge for vegetation development. We studied the organic acid quantity and c...Nutrient-poor, sandy soils form the prevailing substrate at post-mining sites of the Lusatian region(Brandenburg, Germany) and present a challenge for vegetation development. We studied the organic acid quantity and composition of three commonly occurring pioneer plant species, the legumes Lotus corniculatus L. and Trifolium arvense L. and the grass Calamagrostis epigeios(L.) Roth, to determine if plant growth and exudation differed with(non-sterilized soil) and without(sterilized soil) an indigenous soil microbial community. We investigated whether organic acids were found in the rhizosphere and surrounding soil and whether this influenced nutrient mobilization. This study consists of linked field investigations and a greenhouse experiment. Plants were grown in the greenhouse in either sterilized or non-sterilized sandy soil from a reclamation site in the Lusatian mining landscape(Welzow Su¨d, East Germany). After seven months, the plant biomass, root morphology, organic acids, and water-soluble nutrients and root colonization with arbuscular mycorrhizal fungi(AMF) and dark septate endophytes(DSE) were analyzed. Roots of all three plants in the field and greenhouse experiments were highly colonized with AMF. Calamagrostis epigeios and T. arvense had a significantly higher colonization frequency with DSE than L. corniculatus. The quantity and composition of organic acids strongly differed among plant species, with the highest number of organic acids found for L. corniculatus and lowest for C. epigeios. The quantity of organic acids was greatly reduced in all plants under sterilized soil conditions. However, the composition of organic acids and plant growth in sterilized soil were reduced for both legumes, but not for C. epigeios, which had a higher biomass under sterilized conditions. Changes in nutrient concentrations in the field rhizosphere soil relative to those in the control were measurable after seven months. While the spectrum of organic acids and the growth of legumes seemed to be dependent on a highly diverse soil microbial community and a symbiotic partner, the grass C. epigeios appeared capable of mobilizing enough nutrients without an indigenous microbial community, and might be more competitive on sites where soil microbial diversity and activity are low.展开更多
Microseismic(MS)monitoring is an efficacious technology for the detection and early warning of rock mass instability in deep mining operations.However,existing MS-based early warning methodologies,which primarily rely...Microseismic(MS)monitoring is an efficacious technology for the detection and early warning of rock mass instability in deep mining operations.However,existing MS-based early warning methodologies,which primarily rely on singleparameter analysis or local clustering techniques,typically lack quantitative risk assessment capabilities.Inspired by the concept of a rock instability risk field,this study proposes a spatially continuous methodology for risk evaluation.Specifically,the Empirical Green’s Function(EGF)method is employed to estimate failure probabilities,while a Cloud Model is introduced to quantify potential severity.By integrating these components,a three-dimensional risk field function is formulated,using spatial coordinates as independent variables.Regional risk is then assessed through surface integral formulations,enabling a detailed characterization of its spatial distribution.The proposed methodology was applied to a lead-zinc mine in Northwest China.The calculated regional risk values demonstrate strong spatial consistency with energy density clusters identified using the DBSCAN algorithm.Quantitative comparisons reveal a significant positive correlation between the risk field outputs and independent MS event clusters,confirming the method’s efficacy in capturing the spatiotemporal concentration of instability potential.These findings indicate that representing rock instability risk as a continuous field enhances the regional interpretability of MS data and offers a quantitative foundation for dynamic hazard zonation in deep underground excavations.展开更多
Accurate in-situ identification of coal and gangue is critical for intelligent mining,particularly in longwall top coal caving(LTCC)mining,where it enables precise control of the gangue mixed ratio and enhances resour...Accurate in-situ identification of coal and gangue is critical for intelligent mining,particularly in longwall top coal caving(LTCC)mining,where it enables precise control of the gangue mixed ratio and enhances resource recovery.This study introduces a Secondary Intervention strategy to augment the conventional“liquid intervention+infrared detection”approach.Results demonstrate that Secondary Intervention can consistently enhance the thermal contrast between coal and gangue,and the average accuracy of infrared image recognition for coal and gangue increased from 79.14%after the First Intervention to 93.75%after the Secondary Intervention,representing an improvement of 14.61%.Furthermore,the average contact angle difference between coal and gangue expanded from 16.64°after the First Intervention to 33.80°after the Secondary Intervention,an increase of 17.16°.Meanwhile,the area difference between coal and gangue increased by 4.94 times.Moreover,based on comprehensive analysis of the temperature difference,accuracy of morphological identification,as well as the contact angle and area of droplets,the eco-friendly compound surfactant(EFCS)of Soapnut Saponin(SS)+CTAB with a concentration of0.06 wt%demonstrated optimal performance.These findings advance liquid intervention techniques for infrared-based recognition and support the development of greener,more intelligent coal production systems.展开更多
Comprehending the flow behavior of deep-sea mining plumes is paramount for precise predictions of their propagation range and holds immense significance in advancing the commercial exploitation of deep-sea minerals.As...Comprehending the flow behavior of deep-sea mining plumes is paramount for precise predictions of their propagation range and holds immense significance in advancing the commercial exploitation of deep-sea minerals.As deep-sea mining plumes propagate,they can transition from high-density non-Newtonian fluids to low-density Newtonian fluids.However,a comprehensive rheological model capable of accurately describing this intricate evolutionary process is currently lacking.This study explores the variations in rheological properties observed during the propagation of deep-sea mining plumes,utilizing rheological test data obtained from kaolin clay plumes.Utilizing the Power Law model,we established a power exponential function correlating the plume rheological parameters(consistency index and flow behavior index)with a density range from 1.00 to 1.50 g/cm3 through data fitting,developing a rheological model of deep-sea mining plumes considering the variations in plume density.Subsequently,taking into account the differences in sediment properties,the effects of clay content and clay mineral composition on the rheological parameters of natural sediment plumes were compared and analyzed.This model provides a reference for understanding the rheological properties of deep-sea mining plumes during their propagation.展开更多
Yushenfu mining area is located in an ecological fragile area in western China, the coal seam of which is the Jurassic Ysn'an Foirnalion. The Jurassic Yan'an Formation con tains five minable coal seams, the to...Yushenfu mining area is located in an ecological fragile area in western China, the coal seam of which is the Jurassic Ysn'an Foirnalion. The Jurassic Yan'an Formation con tains five minable coal seams, the top layer of which is thick, covered by shallow overburden and located under aquifers. Therefore, the mining induced water flowing fractured zone can easily extend to the aquifers of both the Quaternary Sarahu and Jurassic Zhiluo Formation. This would result in a series of negative hydrological and ecological effects, including groundwater leakage, groundwater lowering, furtherly causing surface vegetation withering and dying, surface water body reduction, spring drying out, and water flow of river being decreased substantially. To solve these environmental problems, several technologies have been carried out by Chinese scientists, one of which is water-preserved coal mining. This paper presents a review of the origin, definition and development of water-preserved coal mining, and its applications in Yushenfu mining area. The applicable conditions, research contents, research methodology, and technical foundation of water-preserved coal mining are addressed in this paper. The future research focuses regarding water-preserved coal mining in China are also discussed in this paper. Its results serve as a guide for selecting the methods to be preferred for mining in case the geological conditions, roof overburden structure and coal mining process are similar to Yushenfu mining area.展开更多
Stability of base-exposed backfill roof in underhand drift-and-fill mining is crucial for the safety of those working beneath.Given the commonly used primary-and-secondary mining sequence,interfaces are formed between...Stability of base-exposed backfill roof in underhand drift-and-fill mining is crucial for the safety of those working beneath.Given the commonly used primary-and-secondary mining sequence,interfaces are formed between adjacent filled drifts,which can weaken the integrity of the backfill roof.These interfaces also lead to two common drift layouts:aligned drifts and staggered drifts.However,less attention has been paid to the interfaces and the two drift layouts were not adequately distinguished in previous studies.In this paper,the interfaces between filled drifts were firstly considered to investigate the stability of backfill roof.Failure modes and strength requirements of backfill roof in aligned and staggered drifts are comprehensively investigated by FLAC3D,with a focus on considerations of varied shear parameters of the interfaces.Results show that failure modes in aligned drifts transition from block sliding to top caving,bottom caving or sloughing as the interface cohesion increases from zero to at least half of the backfill cohesion.Further increases in interface cohesion allow aligned drifts to behave as if there are no interfaces between them.The critical stability conditions of backfill roof in aligned drifts were mostly determined by the interface strength instead of the backfill strength.However,the stability of backfill roof in staggered drifts is barely affected by the interface strength.The outcomes are expected to provide references for mining engineers to optimize drift layouts and perform cost-effective backfill roof strength design at mines using underhand drift-and-fill mining method.展开更多
Unsafe driving behaviors significantly contribute to accidents in open-pit mining operations.Conventional monitoring systems often fail to capture the temporal continuity and semantic ambiguity of such behaviors.To ad...Unsafe driving behaviors significantly contribute to accidents in open-pit mining operations.Conventional monitoring systems often fail to capture the temporal continuity and semantic ambiguity of such behaviors.To address these challenges,an event-level abnormal driving behavior recognition method based on a vision-language model(VLM)is proposed.The method integrates Temporal-Aware Low-Rank Adaptation(T-LoRA)with event-level supervised fine-tuning to enable efficient vertical-domain customization of the VLM toward complex open-pit operating environments.By explicitly enhancing temporal modeling of visual sequences,the proposed method enables accurate event-level recognition of abnormal driving behaviors,precise localization of their onset and duration,and the generation of interpretable semantic descriptions.Experiments conducted on a real-world mining truck dataset demonstrate that the proposed approach achieves an event-level F1-score of 0.923,while maintaining a mean absolute error for temporal localization below 0.8 s.These results indicate that the proposed method effectively captures continuous behavioral patterns and improves both recognition accuracy and temporal precision providing a reliable solution for intelligent safety monitoring.Furthermore,the system supports proactive intervention through event-level early warnings,contributing to safer and more efficient mining operations.展开更多
Wear of the internal lining in the non-metallic flexible pipes(NMFPs)is a critical issue in long-distance hydraulic lifting for deep-sea mining,as it can lead to structural failure and reduced service life.The non-hom...Wear of the internal lining in the non-metallic flexible pipes(NMFPs)is a critical issue in long-distance hydraulic lifting for deep-sea mining,as it can lead to structural failure and reduced service life.The non-homogeneous,discontinuous flow of unevenly sized mineral particles,especially in the curved sections of the pipe,complicates the analysis of particle motion and wear characteristics.This research presents a numerical simulation model of particle dynamics in the internal layers of curved NMFPs,developed using the CFD-DEM coupling method,based on Hertz-Mindlin contact theory and the Archard wear model.The model captures the particle-particle and particle-wall collision behaviors,alongside energy dissipation patterns.A parametric analysis of the wear process was conducted to evaluate the service life of the bent NMFP.Results indicate that particle collision frequency and energy dissipation correlate with increased wear,while higher conveying speeds and larger particle diameters intensify wear.Under specified conditions of 6 m/s conveying speed and a maximum particle concentration of 0.15,an NMFP with a 10 mm internal layer thickness is estimated to last 3.65 years.These findings provide a technical reference for optimizing conveying parameters and minimizing internal wear in deep-sea hydraulic lifting systems at depths of 6000 m.展开更多
Backfill-rock composite structures(BRCSs)are crucial for the stability of underground mining areas.However,during the mining and backfilling cycles,they are subjected to coupled dynamic-static loading.Herein,to system...Backfill-rock composite structures(BRCSs)are crucial for the stability of underground mining areas.However,during the mining and backfilling cycles,they are subjected to coupled dynamic-static loading.Herein,to systematically investigate the mechanical properties of BRCSs under in situ mining and filling stress loading,true triaxial dynamic-static tests were conducted.First,the effects of the depth,cement-tailings(C/T)ratio by mass,and interfacial angle(IA)on the composite strength,deformation characteristics,and failure modes were systematically investigated.Subsequently,the evolution of acoustic emission(AE)signal parameters during BRCS failure was analyzed.Finally,a damage constitutive model was established based on the AE energy analysis.With increasing depth,C/T ratio,and I A,the peak strength and elastic modulus of the BRCS exhibited an upward trend,and the strain during the loading-unloading disturbance stages correspondingly increased.At a C/T ratio of 1:8,the specimens exhibited a rock-dominated load-carrying capacity with distinct brittle failure.Conversely,at a C/T ratio of 1:4,the specimens demonstrated a coupled backfill-rock load-carrying capacity,exhibiting ductile failure in the shallow regions and a transition to brittle failure in the deeper zones.AE signals were concentrated during loading-unloading disturbance,plastic yielding,and failure stages.The dominant failure mode was tensile-shear composite fracture,with the proportion of shear cracks gradually increasing with depth.The damage evolution process of a BRCS can be divided into three stages:initial,accelerated,and ultimate failures.This study provides an important theoretical basis and practical guidance for optimizing C/T ratio and enhancing stability assessment in backfilled mine designs.展开更多
基金funded by geological survey project of China Geological Survey(DD20211404)。
摘要Mineral resources in Asia continent and its mining industry play a significant role in the economic growth and industrialization of both Asia and the world.Asia continent boasts the most comprehensive kinds of minerals,with reserves of at least 38 of over 80 widely used minerals worldwide accounting for more than30%of the global total reserves.Asia continent experienced three main tectonic evolution and mineralization stages:The Precambrian,the Paleozoic,and the Mesozoic to Cenozoic.The abundant mineral resources in this continent can be divided into seven first-order metallogenic belts(metallogenic domains),18 second-order metallogenic belts(metallogenic provinces),61 third-order metallogenic belts(metallogenic zones),and nine main minerogenetic series.Asia continent exhibits the most significant metallogenic specialization among all continents.Specifically,granite belts of Asia continent manifest pronounced metallogenic specialization of tin,rare metals,and porphyry Cu-Au-Mo deposits.Its maficultramafic rock belts and ophiolite belts display notable metallogenic specialization of lateritic nickel deposits and magmatic type chromite deposits,while its Mesozoic to Cenozoic basalt belts show remarkable metallogenic specialization of lateritic bauxite deposits.Consequently,many giant metallogenic belts were formed,including the Southeast Asian tin belt,the Qinghai-Xizang Plateau rare metal metallogenic belt,the Tethyan porphyry Cu-Au-Mo metallogenic belt,the circum-Pacific porphyry Cu-Au-Mo metallogenic belt,the Southeast Asian lateritic bauxite metallogenic belt,the Deccan Plateau lateritic bauxite metallogenic belt in India,the Southeast Asian lateritic nickel metallogenic belt,and the Tethyan magmatic type chromite metallogenic belt—all of which are significant metallogenic belts in Asia continent.Future mineral exploration in Asia should focus primarily on the Precambrian mineralization of ancient cratons,the Paleozoic mineralization of the Central Asian-Mongolian orogenic belt,and the Mesozoic to Cenozoic mineralization of the Tethyan and circum-Pacific mobile belts.Asia's mining industry not only underpins its own economic growth but also propels global economic development and industrialization,contributing significantly to the world economy.Asia boasts the highest production value of minerals,the largest annual production of minerals,and the greatest trade value of mineral products among all the continents,having emerged as the trade center of global mineral products and the center of the mining industry economy.China is identified as one of the few countries that possess the most comprehensive kinds of minerals,and its mining industry has supported and driven the economic development and industrialization of Asia and even the world.Standing as the largest mineral producer worldwide,China ranked first in the production of 28 mineral commodities in the world in 2022.Besides,China exhibits the highest annual production value of minerals and the largest trade value of mineral products among all countries.Therefore,China's demand for global mineral products influences the global supply and demand patterns of minerals and the world economic situation.
基金funding by the Ministry of Science,Technological Development,and Innovation of the Republic of Serbia through Contract No.451-03-33/2026-03/200017.
摘要The compression effects on the thermoelastic and thermodynamic properties of cubic zincblende silicon-tin alloy(SiSn)were explored using a multi-methodological approach,deploying data mining methods,theoretical equation-of-state parameters,and the Quasi-Harmonic Debye Model.We analyze the relative volume,isothermal bulk modulus,thermal expansion coefficient,Debye temperature,sound velocity,and microhardness of the SiSn compound under pressures up to 8 GPa.The study commences with the data mining-based searches for a structural model and continues with an analysis of the pressure dependence of the relative volume using the Vinet equation of state,followed by an investigation of the bulk modulus and other related thermoelastic properties.Moreover,the variation of microhardness with temperature is predicted,demonstrating a patent progressive decline as the temperature rises from 0 to 800 K.The thermodynamic properties of the SiSn compound have been explored using the quasi-harmonic Debye model in temperatures ranging from 0 to 800 K and pressures ranging from 0 to 8 GPa,respectively.In addition to the information not found in the literature and offered by this study,our work also establishes a simplified model that can predict the evolution of microhardness as a function of temperature,firstly for the SiSn compound,and perhaps can extend to group-Ⅳ semiconductors.
基金financially supported by the Fundation of Key Laboratory of Ministry of Natural Resources for Eco-geochemistry (ZSDHJJ202202)Geological Investigation and Evaluation of Shale Gas in Complex Structural Areas of the Middle Yangtze plate(DD20250200604) of China Geological Survey+1 种基金the Natural Science Foundation of Guangdong Province,China(2023A1515140061)the Dongguan Science and Technology of Social Development Program(20231800935842, 20231800940562).
摘要To address the critical gap in linking multi-compartmental transfer with risks of trace metals(Cd,Pb,As,Cr,Ni)in mining environments.This study systematically investigated the trans-media migration of Cd,Pb,As,Cr,and Ni in China’s Dexing copper mining district through paired sampling of water-amphibians,soil-earthworms,and air-lichens.Advanced methodologies were employed,including ICP-MS quantification for heavy metals,geochemical indices(Igeo,BCF,BAF)to assess bioavailability,NMDS for source apportionment,and HPLC to detect DNA methylation alterations.Aquatic systems exhibited severe Cd/Pb enrichment(16.25-24.42μg/L;11-15×WHO limits),while agricultural soils showed extreme Cd contamination(1.5 mg/kg;15×background).Biota displayed metal-specific accumulation:frogs achieved BCFs>1,000 for Pb/Cd,earthworms showed pH-modulated BAFs>2.5 for Cd/As,and lichens recorded 100-1,000×atmospheric Cr enrichment.NMDS resolved three contamination pathways:mining-derived Cd/Pb/As(MDS1=2.56),atmospheric Cr(PC2=1.84),and geogenic Ni.Cd dominated ecological risks(Eri=554.25;RI 300),while atmospheric Cr drove carcinogenic risks(TCR=4.11×10-5)exceeding safety thresholds.The source-media-biota-risk framework pioneers the integration of geochemical transport with epigenetic toxicity biomarkers,demonstrating that sub-lethal Cd/Pb exposure induces genome-wide DNA hypomethylation(2.4%-6.6%reduction;ρ=−0.71 to−0.91).This paradigm shift prioritizes bioavailability-informed regulations over concentration-based metrics,offering actionable strategies for sustainable development goals-aligned mining pollution control.
摘要Intelligent green mining is emerging as a new paradigm for safer, cleaner, and more efficient mineral resource development. By integrating green mining principles with digitalization, automation, and artificial intelligence, it offers a pathway to reduce environmental impacts, improve resource efficiency, and support the low-carbon transformation of the mining industry.
摘要To identify the root causes of heavy metal contamination in soils as well as prevent and control such contamination from its sources,this study explored the accumulation patterns and ecological risks of heavy metals like Cd and Pb in solid waste in mining areas and across the water body,sediment,soil and agricultural product ecosystem surrounding the mining areas.Focusing on the residual solid waste samples in lead-zinc deposits in a certain area of Guizhou Province,along with samples of topsoils,irrigation water,river sediments,and crops from surrounding areas.This study analyzed the distributions of eight heavy metals,i.e.,Cd,As,Cr,Hg,Pb,Zn,Cu,and Ni,in the samples through field surveys and sample tests.Furthermore,this study assessed the contamination levels and ecological risks of heavy metals in soils,sediments,and agricultural products using methods such as the single-factor index,Nemerow composite index,and potential ecological risk assessment.The results indicate that heavy metals in the solid waste samples all exhibited concentrations exceeding their risk screening values,with 60%greater than their risk intervention values.The soils and sediments demonstrate slight and moderate comprehensive ecological risks of heavy metals.The single-factor potential ecological risks of heavy metals in both the soil and sediment samples decreased in the order of Hg,Cd,Pb,As,Cu,Zn,Cr,and Ni,suggesting the same sources of heavy metals in the soils and sediments.Most of the agricultural product samples exhibited over-limit concentrations of heavy metals dominated by Cd,Pb,Ni,and Cr,excluding Hg and As.The agricultural product assessment using the Nemerow composite index reveals that 35%of the agricultural product samples reached the heavy metal contamination level,implying that the agricultural products from farmland around the solid waste dumps have been contaminated with heavy metals.The eight heavy metals in the soil,sediment,and agricultural product samples manifested high coefficients of variation(CVs),indicating pronounced spatial variability.This suggests that their concentrations in soils,sediments,and agricultural products are significantly influenced by human mining activities.Additionally,the agricultural products exhibit strong transport and accumulation capacities for Cd,Cu,and Zn.
基金Project(52464010)supported by the National Natural Science Foundation of ChinaProject(LDLFJSFW2024-9)supported by the Guizhou Provincial Social Funding Projects,China。
摘要Due to the unique geological structure in the Guizhou region,issues such as stress concentration and inefficient resource utilization efficiency arise during repeated mining of close-distance coal seam.This study focuses on the Longfeng Coal Mine in Guizhou,investigating the evolution of stress arches and abutment pressure distribution under repeated mining conditions through similarity simulations,numerical simulations,and theoretical analysis.The study introduces a novel composite stress arch model,which more accurately represents stress evolution under complex mining conditions compared to traditional single arch theories.The model highlights the gradual transformation of a single stress arch into a composite structure,accounting for the increasing complexity of the stress distribution.Based on these evolution characteristics,a mechanical model of composite arches under nonlinear loading was developed.The calculation results and field monitoring data show that after repeated mining,the stop-mining coal pillar width should be optimized between 65 and 70 m.The research reveals the coupling relationship between the evolution of composite arches and the distribution of abutment pressure,which aids in optimizing coal pillar design,enhancing resource recovery rates,and ensuring the stability of roadways and stopes.
基金the support of Jiangsu Marine Technology Innovation Center “Key Technology Research on Deepsea Mining Equipment Development”(No.MTIC-2023-IRD-0001)the National Key R&D Program of China “Key Technologies and R&D of Digital Twin Intelligent System for Deep-sea Mining Areas”(No.2022YFC2806604)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(No.KYCX24_4069).
摘要Existing reviews on deep-sea polymetallic nodule mining focus only on structural optimization of individual equipment,lacking a systematic analysis of full-chain key technologies oriented to the core dual goals of“cost reduction and efficiency enhancement”,which cannot support the commercialization process.To fill this gap,this paper systematically sorts out the technological progress and bottlenecks in three core stages(seabed mining vehicle mobility,mineral collection,and ore lifting)based on the full-chain technical framework of“precise seabed nodule collection-long-distance stable transport”,and explores feasible cost-saving and efficiency-enhancing solutions.The results show that the unique soft sediment properties in nodule-rich areas(water content 312%-577%,internal friction angle<8°,undrained shear strength 4.0-15.5 kPa)are the primary factors limiting equipment stability.Optimized sharp triangular track shoes increase maximum traction by 120%under typical working conditions(15%slip ratio,0.6 m/s travel speed),while thick triangular ones achieve 70.4%higher traction with 18%weight reduction.Hydraulic collection dominates current technologies,with the Coanda effect scheme reaching 87%maximum efficiency,and multi-stage centrifugal hydraulic lifting is the engineering focus.Innovatively,the synergy of mining and carbon sequestration increases unit revenue by 606.3%and reduces CO2 sequestration cost by 62.8%,while the ORC system for wastewater energy recovery covers 15%-20%of total mining electricity demand.Core commercialization obstacles include uncoordinated mobility-collection systems,unstable pipeline transport,poor material adaptability to extreme conditions,and high costs.This paper clarifies key breakthrough directions for full-chain optimization,providing a systematic framework and technical reference for the industrialization of deep-sea polymetallic nodule mining technologies.
基金Supported by the National Natural Science Foundation of China(No.41772155)the National Science and Technology Major Project of China(No.2016ZX05044-002)the Fundamental Research Funds for the Central Universities of China(No.2015XKZD07)
摘要Based on the productivity equation of coalbed methane (CBM) well, considering the impact of coal reservoir reformability on gas well productivity, the main production layer optimization index in the “three-step method” of optimal combination of production layers is corrected, and then the CBM production layer potential index is introduced to evaluate favorable areas for commingled multi-coal seam production. Through analysis of the key parameters of coal reservoirs affecting the CBM productivity index, a development unit division method for areas with multi-coal seams is established, and a quantitative grading index system is proposed. On this basis, the evaluation process of CBM development favorable area is developed: the mature 3-D modeling technology is used to characterize the reservoir physical properties of multi-coal seams in full-scale;the production layer potential index of each grid is calculated, and the production layer potential index contour under single-layer or commingled multi-layer production are plotted;according to the distribution of the contour of production layer potential index, the quantitative index of CBM development unit is adopted to outline the grade I, II, III coal reservoir distribution areas, and thus to pick out the favorable development areas. The practical application in the Yuwang block of Laochang in Yunnan proved that the favorable area evaluation process proposed can effectively overcome the defects of selecting favorable development areas only relying on evaluation results of a major coal seam pay, and enhance the accuracy of the evaluation results, meeting the requirements of selecting favorable areas for multi-coal seam commingled CBM production.
基金The National Natural Science Foundation of China under contact No.52394252the National Key Research and Develop Program of China under contact No.2022YFC2804003。
摘要The limited understanding of deep-sea environments has led to considerable attention regarding the potential environmental impacts of deep-sea mining.Legally regulations for deep-sea mining activities are urgently being formulated to minimize the environmental impacts for the upcoming commercial mining.Environmental impact assessment,as a critical foundation for the development of management systems,require comprehensive understanding and accurate information of the deep-sea ecosystem.However,the thresholds of environmental impact indicators are yet to be determined.This paper systematically summarizes the research results from existing nearshore ecological management measures,marine-related engineering projects,deep-sea disturbance tests,and biological toxicology experiments of neritic organisms.By combining the adaptability of different types of coastal organisms(such as fish,corals,sponges,jellyfish,and shellfish etc.)to the sea-water with suspended particles in existing studies,and considering the similarities between shallow-sea organisms and deep-sea organisms,it can provide available scientific knowledge for the formulation of deep-sea mining thresholds.Studies shows that certain organisms in the neritic zones can be treated as indicators for weighting deep-sea ecological environments.Hence,these current thresholds can be used as a reference for the initial threshold of deep-sea mining and later provide scientific support for the subsequent improvement of environmental thresholds.The deep-sea thresholds are specifically recommended as follows:sediment concentration of 0.5-2 mg/L is considered as no significant impact;2-5 mg/L is minor impact;5-10 mg/L is a moderate impact;more than 10 mg/L is a severe impact.The threshold for redeposition thickness is recommended as follows:0-1 mm is no significant impact,1-3 mm is minor impact,3-10 mm is a moderate impact,and>10 mm is a severe impact.
摘要Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental concept drift,gradually alter the behavior or structure of processes,making their detection and localization a challenging task.Traditional process mining techniques frequently assume process stationarity and are limited in their ability to detect such drift,particularly from a control-flow perspective.The objective of this research is to develop an interpretable and robust framework capable of detecting and localizing incremental concept drift in event logs,with a specific emphasis on the structural evolution of control-flow semantics in processes.We propose DriftXMiner,a control-flow-aware hybrid framework that combines statistical,machine learning,and process model analysis techniques.The approach comprises three key components:(1)Cumulative Drift Scanner that tracks directional statistical deviations to detect early drift signals;(2)a Temporal Clustering and Drift-Aware Forest Ensemble(DAFE)to capture distributional and classification-level changes in process behavior;and(3)Petri net-based process model reconstruction,which enables the precise localization of structural drift using transition deviation metrics and replay fitness scores.Experimental validation on the BPI Challenge 2017 event log demonstrates that DriftXMiner effectively identifies and localizes gradual and incremental process drift over time.The framework achieves a detection accuracy of 92.5%,a localization precision of 90.3%,and an F1-score of 0.91,outperforming competitive baselines such as CUSUM+Histograms and ADWIN+Alpha Miner.Visual analyses further confirm that identified drift points align with transitions in control-flow models and behavioral cluster structures.DriftXMiner offers a novel and interpretable solution for incremental concept drift detection and localization in dynamic,process-aware systems.By integrating statistical signal accumulation,temporal behavior profiling,and structural process mining,the framework enables finegrained drift explanation and supports adaptive process intelligence in evolving environments.Its modular architecture supports extension to streaming data and real-time monitoring contexts.
摘要This paper presents a novel framework for the development of a real-time energy management system for mining microgrids,which integrates the benefits of a long short-term memory(LSTM)network and a feedforward neural network(FNN)for the prediction of the load and solar power,and the optimization of the dispatch,respectively,while ensuring the safety of the microgrid through the application of a convex safety filter.In the proposed framework,the LSTM provides probabilistic multi-step forecasts of load and photovoltaic generation,capturing the high volatility characteristic of mining operations with ramp rates up to 5 MW/min.The FNN approximates the optimal power dispatch policy,enabling sub-millisecond inference times essential for real-time control.The convex safety filter projects the FNN’s proposed actions onto the feasible set defined by operational constraints,ensuring voltage regulation within±0.1%and preventing safety violations.The framework was validated using operational data from Jwaneng Mine,Botswana,within a MATLAB/Simulink co-simulation environment that couples discrete-time EMS decisions(15-min intervals)with continuous-time electrical dynamics(1-s resolution).Simulation results demonstrate an 18.7%reduction in operational costs,renewable energy utilization of 79.1%,voltage deviation of only 0.08%,and constraint violations reduced to 0.3%of intervals.The complete system achieves end-to-end latency of 50.8 ms,with the core optimization requiring just 0.8 ms,satisfying the stringent real-time requirements of mining microgrid control.
基金funded by the Deutsche Forschungsgemeinschaft (DFG) (No. BO 4201/2-1)
摘要Nutrient-poor, sandy soils form the prevailing substrate at post-mining sites of the Lusatian region(Brandenburg, Germany) and present a challenge for vegetation development. We studied the organic acid quantity and composition of three commonly occurring pioneer plant species, the legumes Lotus corniculatus L. and Trifolium arvense L. and the grass Calamagrostis epigeios(L.) Roth, to determine if plant growth and exudation differed with(non-sterilized soil) and without(sterilized soil) an indigenous soil microbial community. We investigated whether organic acids were found in the rhizosphere and surrounding soil and whether this influenced nutrient mobilization. This study consists of linked field investigations and a greenhouse experiment. Plants were grown in the greenhouse in either sterilized or non-sterilized sandy soil from a reclamation site in the Lusatian mining landscape(Welzow Su¨d, East Germany). After seven months, the plant biomass, root morphology, organic acids, and water-soluble nutrients and root colonization with arbuscular mycorrhizal fungi(AMF) and dark septate endophytes(DSE) were analyzed. Roots of all three plants in the field and greenhouse experiments were highly colonized with AMF. Calamagrostis epigeios and T. arvense had a significantly higher colonization frequency with DSE than L. corniculatus. The quantity and composition of organic acids strongly differed among plant species, with the highest number of organic acids found for L. corniculatus and lowest for C. epigeios. The quantity of organic acids was greatly reduced in all plants under sterilized soil conditions. However, the composition of organic acids and plant growth in sterilized soil were reduced for both legumes, but not for C. epigeios, which had a higher biomass under sterilized conditions. Changes in nutrient concentrations in the field rhizosphere soil relative to those in the control were measurable after seven months. While the spectrum of organic acids and the growth of legumes seemed to be dependent on a highly diverse soil microbial community and a symbiotic partner, the grass C. epigeios appeared capable of mobilizing enough nutrients without an indigenous microbial community, and might be more competitive on sites where soil microbial diversity and activity are low.
基金supported by the National Natural Science Foundation of China(52474280,52104108)the Fundamental Research Funds for the Central Universities of Central South University(2025ZZTS0547).
摘要Microseismic(MS)monitoring is an efficacious technology for the detection and early warning of rock mass instability in deep mining operations.However,existing MS-based early warning methodologies,which primarily rely on singleparameter analysis or local clustering techniques,typically lack quantitative risk assessment capabilities.Inspired by the concept of a rock instability risk field,this study proposes a spatially continuous methodology for risk evaluation.Specifically,the Empirical Green’s Function(EGF)method is employed to estimate failure probabilities,while a Cloud Model is introduced to quantify potential severity.By integrating these components,a three-dimensional risk field function is formulated,using spatial coordinates as independent variables.Regional risk is then assessed through surface integral formulations,enabling a detailed characterization of its spatial distribution.The proposed methodology was applied to a lead-zinc mine in Northwest China.The calculated regional risk values demonstrate strong spatial consistency with energy density clusters identified using the DBSCAN algorithm.Quantitative comparisons reveal a significant positive correlation between the risk field outputs and independent MS event clusters,confirming the method’s efficacy in capturing the spatiotemporal concentration of instability potential.These findings indicate that representing rock instability risk as a continuous field enhances the regional interpretability of MS data and offers a quantitative foundation for dynamic hazard zonation in deep underground excavations.
基金supported by the National Natural Science Foundation of China(Nos.52374148,52204163,and 52121003)the Fundamental Research Funds for the Central Universities(Nos.2025JCCXNY02 and 2023YQTD02)the Open Fund of State Key Laboratory of Water Resource Protection and Utilization in Coal Mining(No.GJNY-23-37-06).
摘要Accurate in-situ identification of coal and gangue is critical for intelligent mining,particularly in longwall top coal caving(LTCC)mining,where it enables precise control of the gangue mixed ratio and enhances resource recovery.This study introduces a Secondary Intervention strategy to augment the conventional“liquid intervention+infrared detection”approach.Results demonstrate that Secondary Intervention can consistently enhance the thermal contrast between coal and gangue,and the average accuracy of infrared image recognition for coal and gangue increased from 79.14%after the First Intervention to 93.75%after the Secondary Intervention,representing an improvement of 14.61%.Furthermore,the average contact angle difference between coal and gangue expanded from 16.64°after the First Intervention to 33.80°after the Secondary Intervention,an increase of 17.16°.Meanwhile,the area difference between coal and gangue increased by 4.94 times.Moreover,based on comprehensive analysis of the temperature difference,accuracy of morphological identification,as well as the contact angle and area of droplets,the eco-friendly compound surfactant(EFCS)of Soapnut Saponin(SS)+CTAB with a concentration of0.06 wt%demonstrated optimal performance.These findings advance liquid intervention techniques for infrared-based recognition and support the development of greener,more intelligent coal production systems.
基金Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering with grant at Ocean University of China,Grant/Award Numbers:MEGE2024001,MEGE2024002National Natural Science Foundation of China,Grant/Award Number:42207181+2 种基金Fundamental Research Funds for the Central Universities,Grant/Award Number:202441003Opening Fund of the State Key Laboratory of Coastal and Offshore Engineering at Dalian University of Technology,Grant/Award Number:LP2310National Key Research and Development Program of China,Grant/Award Number:2024YFC2815400。
摘要Comprehending the flow behavior of deep-sea mining plumes is paramount for precise predictions of their propagation range and holds immense significance in advancing the commercial exploitation of deep-sea minerals.As deep-sea mining plumes propagate,they can transition from high-density non-Newtonian fluids to low-density Newtonian fluids.However,a comprehensive rheological model capable of accurately describing this intricate evolutionary process is currently lacking.This study explores the variations in rheological properties observed during the propagation of deep-sea mining plumes,utilizing rheological test data obtained from kaolin clay plumes.Utilizing the Power Law model,we established a power exponential function correlating the plume rheological parameters(consistency index and flow behavior index)with a density range from 1.00 to 1.50 g/cm3 through data fitting,developing a rheological model of deep-sea mining plumes considering the variations in plume density.Subsequently,taking into account the differences in sediment properties,the effects of clay content and clay mineral composition on the rheological parameters of natural sediment plumes were compared and analyzed.This model provides a reference for understanding the rheological properties of deep-sea mining plumes during their propagation.
摘要Yushenfu mining area is located in an ecological fragile area in western China, the coal seam of which is the Jurassic Ysn'an Foirnalion. The Jurassic Yan'an Formation con tains five minable coal seams, the top layer of which is thick, covered by shallow overburden and located under aquifers. Therefore, the mining induced water flowing fractured zone can easily extend to the aquifers of both the Quaternary Sarahu and Jurassic Zhiluo Formation. This would result in a series of negative hydrological and ecological effects, including groundwater leakage, groundwater lowering, furtherly causing surface vegetation withering and dying, surface water body reduction, spring drying out, and water flow of river being decreased substantially. To solve these environmental problems, several technologies have been carried out by Chinese scientists, one of which is water-preserved coal mining. This paper presents a review of the origin, definition and development of water-preserved coal mining, and its applications in Yushenfu mining area. The applicable conditions, research contents, research methodology, and technical foundation of water-preserved coal mining are addressed in this paper. The future research focuses regarding water-preserved coal mining in China are also discussed in this paper. Its results serve as a guide for selecting the methods to be preferred for mining in case the geological conditions, roof overburden structure and coal mining process are similar to Yushenfu mining area.
基金supported by Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project(Grant No.2024ZD1003705)the Beijing Nova Program(Grant No.20220484057)support from China Scholarship Council under Grant CSC No.202110300001.
摘要Stability of base-exposed backfill roof in underhand drift-and-fill mining is crucial for the safety of those working beneath.Given the commonly used primary-and-secondary mining sequence,interfaces are formed between adjacent filled drifts,which can weaken the integrity of the backfill roof.These interfaces also lead to two common drift layouts:aligned drifts and staggered drifts.However,less attention has been paid to the interfaces and the two drift layouts were not adequately distinguished in previous studies.In this paper,the interfaces between filled drifts were firstly considered to investigate the stability of backfill roof.Failure modes and strength requirements of backfill roof in aligned and staggered drifts are comprehensively investigated by FLAC3D,with a focus on considerations of varied shear parameters of the interfaces.Results show that failure modes in aligned drifts transition from block sliding to top caving,bottom caving or sloughing as the interface cohesion increases from zero to at least half of the backfill cohesion.Further increases in interface cohesion allow aligned drifts to behave as if there are no interfaces between them.The critical stability conditions of backfill roof in aligned drifts were mostly determined by the interface strength instead of the backfill strength.However,the stability of backfill roof in staggered drifts is barely affected by the interface strength.The outcomes are expected to provide references for mining engineers to optimize drift layouts and perform cost-effective backfill roof strength design at mines using underhand drift-and-fill mining method.
基金financially supported by the National Natural Science Foundation of China(Nos.U25B20136 and 52374135)the Shaanxi Province Metal Mine Intelligent Mining Theory and Technology Innovation Team,China(No.2023-CX-TD-12)。
摘要Unsafe driving behaviors significantly contribute to accidents in open-pit mining operations.Conventional monitoring systems often fail to capture the temporal continuity and semantic ambiguity of such behaviors.To address these challenges,an event-level abnormal driving behavior recognition method based on a vision-language model(VLM)is proposed.The method integrates Temporal-Aware Low-Rank Adaptation(T-LoRA)with event-level supervised fine-tuning to enable efficient vertical-domain customization of the VLM toward complex open-pit operating environments.By explicitly enhancing temporal modeling of visual sequences,the proposed method enables accurate event-level recognition of abnormal driving behaviors,precise localization of their onset and duration,and the generation of interpretable semantic descriptions.Experiments conducted on a real-world mining truck dataset demonstrate that the proposed approach achieves an event-level F1-score of 0.923,while maintaining a mean absolute error for temporal localization below 0.8 s.These results indicate that the proposed method effectively captures continuous behavioral patterns and improves both recognition accuracy and temporal precision providing a reliable solution for intelligent safety monitoring.Furthermore,the system supports proactive intervention through event-level early warnings,contributing to safer and more efficient mining operations.
基金support provided by:"The Key Research and Development Program of Shandong ProvinceChina(Grant No.2024CXGC010802)"+2 种基金the"Taishan Industial Experts Program"the"Integrated Design Theory and Risk Prevention&Control Method of Mining and Transportation System for Deep-sea Poly Metallic Nodules(Grant No.52394255)"the"National Key Research and Development Program of China:Design and Key Technology Research of Non-metallic Flexible Pipes for Deep Sea Mining(Grant No.2022YFC2803701)"。
摘要Wear of the internal lining in the non-metallic flexible pipes(NMFPs)is a critical issue in long-distance hydraulic lifting for deep-sea mining,as it can lead to structural failure and reduced service life.The non-homogeneous,discontinuous flow of unevenly sized mineral particles,especially in the curved sections of the pipe,complicates the analysis of particle motion and wear characteristics.This research presents a numerical simulation model of particle dynamics in the internal layers of curved NMFPs,developed using the CFD-DEM coupling method,based on Hertz-Mindlin contact theory and the Archard wear model.The model captures the particle-particle and particle-wall collision behaviors,alongside energy dissipation patterns.A parametric analysis of the wear process was conducted to evaluate the service life of the bent NMFP.Results indicate that particle collision frequency and energy dissipation correlate with increased wear,while higher conveying speeds and larger particle diameters intensify wear.Under specified conditions of 6 m/s conveying speed and a maximum particle concentration of 0.15,an NMFP with a 10 mm internal layer thickness is estimated to last 3.65 years.These findings provide a technical reference for optimizing conveying parameters and minimizing internal wear in deep-sea hydraulic lifting systems at depths of 6000 m.
基金financially supported by the National Natural Science Foundation of China(No.52574145)Central Guiding Local Technology Development Funding(No.246Z4101G)Basic Research Foundation of Hebei Provincial Universities(No.JJC2024071)。
摘要Backfill-rock composite structures(BRCSs)are crucial for the stability of underground mining areas.However,during the mining and backfilling cycles,they are subjected to coupled dynamic-static loading.Herein,to systematically investigate the mechanical properties of BRCSs under in situ mining and filling stress loading,true triaxial dynamic-static tests were conducted.First,the effects of the depth,cement-tailings(C/T)ratio by mass,and interfacial angle(IA)on the composite strength,deformation characteristics,and failure modes were systematically investigated.Subsequently,the evolution of acoustic emission(AE)signal parameters during BRCS failure was analyzed.Finally,a damage constitutive model was established based on the AE energy analysis.With increasing depth,C/T ratio,and I A,the peak strength and elastic modulus of the BRCS exhibited an upward trend,and the strain during the loading-unloading disturbance stages correspondingly increased.At a C/T ratio of 1:8,the specimens exhibited a rock-dominated load-carrying capacity with distinct brittle failure.Conversely,at a C/T ratio of 1:4,the specimens demonstrated a coupled backfill-rock load-carrying capacity,exhibiting ductile failure in the shallow regions and a transition to brittle failure in the deeper zones.AE signals were concentrated during loading-unloading disturbance,plastic yielding,and failure stages.The dominant failure mode was tensile-shear composite fracture,with the proportion of shear cracks gradually increasing with depth.The damage evolution process of a BRCS can be divided into three stages:initial,accelerated,and ultimate failures.This study provides an important theoretical basis and practical guidance for optimizing C/T ratio and enhancing stability assessment in backfilled mine designs.