Mining Activities Research Articles

The impact of kaolin mining activities on bacterial diversity and community structure in the rhizosphere soil of three local plants.

Thus far, the impact of kaolin mining activities on the surrounding native plants and rhizosphere microecology has not been fully understood. In this study, we used 16S rRNA high-throughput sequencing to examine the impact of kaolin mining on the rhizosphere bacterial communities and functions of three local plant species: Conyza bonariensis, Artemisia annua, and Dodonaea viscosa. The results showed that kaolin mining significantly reduced the diversity of rhizosphere bacteria in these plants, as indicated by the Shannon, Simpson, Chao1, and observed species indices (p < 0.05). Kaolin mining had an impact on the recruitment of three rhizosphere bacteria native to the area: Actinoplanes, RB41, and Mycobacterium. These bacteria were found to be more abundant in the rhizosphere soil of three local plants than in bulk soil, yet the mining of kaolin caused a decrease in their abundance (p < 0.05). Interestingly, Ralstonia was enriched in the rhizosphere of these plants found in kaolin mining areas, suggesting its resilience to environmental stress. Furthermore, the three plants had different dominant rhizosphere bacterial populations in kaolin mining areas, such as Nocardioides, Pseudarthrobacter, and Sphingomonas, likely due to the unique microecology of the plant rhizosphere. Kaolin mining activities also caused a shift in the functional diversity of rhizosphere bacteria in the three local plants, with each plant displaying different functions to cope with kaolin mining-induced stress, such as increased abundance of the GlpM family and glucan-binding domain. This study is the first to investigate the effects of kaolin mining on the rhizosphere microecology of local plants, thus contributing to the establishment of soil microecological health monitoring indicators to better control soil pollution in kaolin mining areas.

AI-Driven Waste Management Solutions in the Mining Industry: Reducing Environmental Impact

Soil, water, and air pollution are mainly resulted from the waste of mining industry. This ecological pollution resulted from mining activities must be managed and reduced effectively. With the emergence of AI, AI has the ability to help in driving an innovative and technological waste management model. The capacity of AI in predicting, modelling and automating waste management process will be studied through the use of the theory and approach based on Machine learning’s methodologies and algorithms. A comparative analysis between traditional methods and AI integrated methods of waste management will be conducted to evaluate the effectiveness of AI in driving waste management. Thus, this will require a specific case of mining activity to be studied. The data collection and data analysis consist of conducting a literature review and documents analysis, which includes a qualitative and quantitative analysis. All in all, the study will assess the effectiveness, operationality, efficiency and economic viability of AI-driven methods, in reducing pollution from mining activities. The results will emphasize the significant enhancement brought by AI-driven waste management. The prediction made by AI in the waste production will be demonstrated as accurate and optimizing waste discharge methods. This improvement is crucial in the reduction of environmental impact of mining activities. Seen as efficient, sustainable and cos-effective operations, the AI-driven waste management will transform and improve the environmental protection in the mining industry. The research offers innovative recommendations to stakeholders such as mining companies, policymakers and researchers.

An analysis of the impact of CO2 emissions from deforestation and mining in Madre de Dios, Perú

The Madre de Dios Region of Peru faces significant deforestation largely due to a surge in artisanal-small scale gold mining (ASGM), propelled by rising gold prices. This study evaluates the full scope of ASGM activities on net CO2 emissions, accounting for both the deforestation that converts forests into mining territories and the emissions directly resulting from mining and transportation activities. By applying kriging to a comprehensive dataset, we determined the carbon content of the region and the annual loss of CO2 capture due to deforestation. Our analysis also incorporates emissions from the Interoceanic highway, which has contributed to the mining boom. The findings indicate a total net CO2 emission of 429.9 Gigagrams (Gg) per year, underscoring the critical environmental challenge these activities pose. Our study highlights the need for immediate and effective reclamation efforts, including reforestation with indigenous carbon-rich trees, as a counterbalance to the environmental damage inflicted. These efforts are essential to mitigate the adverse impacts and support the global movement towards net-zero emissions.

Analysis of Water Quality of Le'an River in Poyang Lake Basin Based on CCME-WQI Method

As the largest freshwater lake in China, Poyang Lake plays a key role in supporting the balance of aquatic ecosystems, and the water quality of its inlet rivers affects the lake's water quality. Le'an River, a typical inlet river of Poyang Lake, was selected as the research object. Based on the water quality data of six monitoring points in the upper, middle, and lower reaches of the mainstream of Le'an River from 2012 to 2020, the CCME-WQI method was used to evaluate the water quality of the river after systematically analyzing the spatiotemporal variation of the concentration of pollutants in the mainstream of the river. Finally, the main influencing factors of the water quality of the river were extracted and analyzed according to the PCA method. The results showed that： ① The water volume upstream and downstream of the river was more seriously polluted in the pre-study time period, which was due to the presence of Dexing Copper Mine in the upstream and small and medium-sized mines and farmland downstream. ② Before 2017, the water volume downstream of Le'an River had the worst water quality, with TP and NH4+-N exceeding the standard rate of 43.3% and 85.0%, respectively, and the lowest WQI mean value of 86.2. After 2017, due to the effective management of pollutant discharges in the watershed, the water volume downstream of the river improved significantly and continued to be in an excellent state, and the mean value of the WQI reached 100.0. ③ The factors influencing the water quality of the mainstem of the Le'an River could be divided into four categories： human activities, seasonal factors, atmospheric deposition of pollutants, and the physical and chemical properties of the water volume itself, with human activities being the dominant factor for water quality changes at Dawuhekou and Shizhenjie, whereas the seasonal factors had the greatest influence at the remaining locations. ④ Organic matter pollution was obvious in the upper and lower Le'an River water volume, and the water volume at Dawuhekou was mainly affected by nearby mining activities, whereas the water volume at Shizhenjie was mainly affected by agriculture. Le'an River had serious organic matter pollution downstream before 2017, and mining and agricultural activities in the watershed had a high degree of impact on water quality. The treatment of mineral processing wastewater should be upgraded, and the discharge of pollutants from agriculture in the downstream of the watershed should be regulated.

PERTANGGUNGJAWABAN PIDANA BAGI PELAKU TINDAK PIDANA PERTAMBANGAN MINERAL DAN BATUBARA (ANALISIS PUTUSAN PN PRAYA NOMOR 123/PID. B/LH/2023/PN PYA)

The mining sector is one of the supports for the welfare of the Indonesian people. Therefore, mining activities must be carried out according to procedures and have legality as applicable regulations. Criminal liability for perpetrators of mineral and coal mining crime Analysis of Decision Number 123/Pid.B/LH/2023/PN Pya is that the defendant has been proven guilty and fulfills the elements in Article 160 of Law of the Republic of Indonesia Number 3 of 2020 concerning amendments to Law Number 4 of 2009 concerning Mineral and Coal Mining. Criminal liability for case Number 123/Pid.B/LH/2023/PN Pya that the Defendant has been proven guilty and meets the elements in Article 160 of Law of the Republic of Indonesia Number 3 of 2020 concerning amendments to Law of the Republic of Indonesia Number 4 of 2009 concerning Mineral and Coal Mining, namely the provision that Every person who has an IUP or IUPK at the Exploration activity stage but carries out Production Operation activities shall be punished with a maximum imprisonment of 5 (five) years and a maximum fine of IDR 100,000,000,000.00 (one hundred billion rupiah). When associated with the maximum penalty, the penalty imposed on the Defendant is still relatively low because mining without a permit is a very serious case and has a major impact on the state and society. The judge's consideration in imposing a criminal sentence based on juridical and non-juridical considerations, the judge decided that the defendant was sentenced to imprisonment of 7 (seven) months and a fine of Rp. 20,000,000.00 (twenty million rupiah) subsidair 2 (two) months.

The Impact of Rhizospheric and Endophytic Bacteria on the Germination of Carajasia cangae: A Threatened Rubiaceae of the Amazon Cangas.

Carajasia cangae (Rubiaceae) is a narrow endemic species from the canga ecosystems of the Carajás National Forest that is facing extinction due to a limited range and habitat disturbance from hydroclimatological changes and mining activities. This study examines the influence of rhizospheric and endophytic bacteria on C. cangae seed germination to support conservation efforts. Soil samples, both rhizospheric and non-rhizospheric, as well as plant root tissues, were collected. Bacteria from these samples were subsequently isolated, cultured, and identified. DNA sequencing revealed the presence of 16 isolates (9 rhizospheric and 7 endophytic), representing 19 genera and 6 phyla: Proteobacteria, Actinobacteria, Acidobacteria, Firmicutes, Bacteroidetes, and Chloroflexi. The endophytic isolates of Bacillus and the rhizospheric isolates of Planococcus and Lysinibacillus reduced the median germination time and initiation time, while the rhizospheric isolates Serratia and Comamonas increased the germination time and decreased the germination percentage in comparison to the control sample. These findings emphasize the crucial role of endophytic bacteria in the germination of C. cangae and highlight isolates that could have beneficial effects in the following stages of plant growth. Understanding the impact of endophytic and rhizospheric bacterial isolates on seed germination can enhance conservation efforts by shortening the germination period of this species and thereby improving seedling production. Additionally, this knowledge will pave the way for future research on the role of bacteria in the establishment of C. cangae.

Integrated assessment for groundwater quality and flood vulnerability in coal mining regions.

Coal mining activities greatly damage water resources, explicitly concerning water quality. The adverse effects of coal mining and potential routes for contaminants to migrate, either through surface water or infiltration, into the groundwater table. Dealing with pollution from coal mining operations is a significant surface water contamination concern. Consequently, surface water resources get contaminated, harming nearby agricultural areas, drinking water sources, and aquatic habitats. Moreover, the percolation process connected with coal mining could alter groundwater quality. Subsurface water sources can get contaminated by toxins generated during mining activities that infiltrate the soil and reach the groundwater table. The aims of this study are the creation of models and the provision of proposals for corrective measures. Twenty-five scenarios were simulated using MODFLOW; according to the percolation percentage and contamination, 35% of the study area, i.e., the middle of the research area, was the most affected. About 38.08% of the area around the mining zones surrounding Margherita is prone to floods. Agricultural areas, known for applying chemical fertilizers, are particularly vulnerable, generating a risk of pollution to surrounding water bodies during flooding. The outputs of this research contribute to identifying and assessing flood-vulnerable regions, enabling focused measures for flood risk reduction, and strengthening water resource management.

Integrating the Finite Element Method with Python Scripting to Assess Mining Impacts on Surface Deformations

Mining operations disrupt the structure of rock layers, leading to surface deformations and potential mining damage. This issue has been extensively studied since the 19th century using various analytical, geometric-integral, and stochastic methods. Since the 1990s, numerical methods have been increasingly applied to determine changes in the stress and strain states of rock masses due to mining activities. These methods account for numerous additional factors influencing surface deformation, offering significant advantages over classical approaches. However, modelling rock masses presents challenges, particularly in calibrating the mechanical parameters of rock layers, an area extensively researched with numerous publications. In this study, we determined the mechanical parameter values of rock layers at the advancing mining front using a custom Python script and Finite Element Method (FEM) numerical models. We also introduced a modification to evaluate the error of the estimated parameter values. Numerical analyses were conducted for the Piast–Ziemowit mine region in Poland, utilizing mining, geological, and surveying data. Our results demonstrate that accurate calibration of mechanical parameters is crucial for reliable predictions of surface deformations. The proposed methodology enhances the precision of numerical models, providing a more robust framework for assessing the impact of mining activities on rock layers.

Lithium ore tailings harm the vegetative development, photosynthetic activity, and nutrition of tree species.

Lithium (Li) exploitation promotes socioeconomic advances but may result in harmful environmental impacts. Thus, species selection for recovering environments degraded by Li mining is essential. We investigated the tolerance and early growth of four tree species to Li ore tailings (LOT), Enterolobium contortisiliquum and Handroanthus impetiginosus with wide geographic distribution and Hymenaea courbaril and H. stigonocarpa with restricted geographic distribution. The plants grew in LOT and soil for 255days to evaluate photosynthesis, growth, and mineral nutrition. LOT negatively affected species growth, reducing the length of stems, roots, and biomass through structural and nutritional impoverishment. LOT favored the accumulation of Mg and decreased the absorption of K. The species presented a reduction in potential quantum efficiency and the chlorophyll index (b and total). E. contortisiliquum was the least tolerant species to LOT, and H. courbaril and H. stigonocarpa maintained their mass production in LOT, indicating greater tolerance to tailings. Furthermore, H. courbaril presented a translocation factor > 1 for Li and Mn, indicating the potential for phytoextraction of these metals. Our results offer first-time insights into the impacts of LOT on the early development of tree species with different geographic distribution ranges. This study may help in the tree species selection with a phytoremediation role, aiming at the recovery of areas affected by Li's mining activity.

Livelihood Access and Challenges in Mining Resettlement Communities: Insight from Ghana

The study acknowledges that though mining has contributed to the development of many economies globally, it comes with unanticipated challenges especially on the people who are directly affected by the mining activities. The study aims to understand the implications of such challenges faced in mining resettled communities and the versatile practices followed to stay in the mist of such livelihood challenges in mining resettlement communities. The study also focuses on the copying strategies adapted to cope with these challenges in mining resettlement communities. Qualitative approach was done to capture the rich essence of the subject matter. The study used focus groups and in-depth interviews as techniques and interviewed members from different households of the mining resettlements communities (Salman, Teleku-Bokazo and Nkroful) including land owners, opinion leaders, chiefs and from the institutional perspectives. As a result, it was found out that the livelihood challenges that clearly manifested itself was in the area of income, employment and morbidity issues. The evidence was shown that in all the challenges, copying measures are in place to enable the people live in their new settlements, but not adequate.

Hydrogeochemical evolution patterns of diverse water bodies in mining area driven by large-scale open-pit combined underground mining-taking Pingshuo Mining Area as an example

Large-scale open-pit combined underground mining activities (OUM) not only reshape the original topography, geomorphology, and hydrogeochemical environment of the mining area, but also alter the regional water cycle conditions. However, due to the complexity arising from the coexistence of two coal mining technologies (open-pit and underground mining), the hydrological environmental effects remain unclear. Here, we selected the Pingshuo Mining Area in China, one of the most modernized open-pit combined underground mining regions, as the focus of our research. We comprehensively employed mathematical statistics, Piper diagram, Gibbs model, ion combination ratio, principal component analysis and other methods to compare the hydrochemistry and isotope data of different water bodies before (2006) and after (2021) large-scale mining. The changing patterns of hydrochemical characteristics of different water bodies and their main controlling factors in mining area driven by OUM were analyzed and identified, revealing the water circulation mechanism under the background of long-term coal mining. The results showed that: (1) The chemical composition of water has changed greatly due to large-scale coal mining. The hydrochemical types of Quaternary and Permian-Carboniferous aquifers shifted from predominantly HCO3-Ca·Mg before intensive mining to primarily HCO3·SO4-Ca·Mg, HCO3-Na, HCO3·SO4-Na·Mg, and HCO3·SO4-Ca·Mg, HCO3-Ca·Na, HCO3·SO4-Mg·Ca post-mining. Variations in the hydrochemical types of surface water were found to be complex and diverse. (2) Coal mining activities promote the dissolution of silicate rock and sodium-bearing evaporites, enhancing the strength and scale of positive alternating adsorption of cations. The oxidation of pyrite, dissolution of silicate weathering, and the leaching of coal gangue were identified as the main reasons for the significant increase of SO42−, while decarbonation in confined aquifers led to a decrease in HCO3−. (3) Results from the principal component analysis and stable isotopes demonstrated the hydraulic connection among surface water, Quaternary aquifers, and Permian-Carboniferous aquifers induced by long-term OUM. The research findings provide a reference basis for the coordinated development of coal and water in the Pingshuo Mining Area and other open-pit combined underground mining areas.

Heavy Metal Levels in Insect Species Collected from Enyigba Community with Mining Activities in Southeast Nigeria

Insects are the largest and most diverse group of organisms which are typically the overwhelming dominant invertebrate faunal group extensively used in biomonitoring and bioassessment. The aim of this paper was to evaluate the heavy metals levels in insect species collected from Enyigba Community with mining activities in Southeast Nigeria using appropriate standard methods. In this study, three sites namely: Upper Inyia-(SA), Lower Inyia (SB) and the Control Site (SC) were selected and insect specimens were collected and evaluated from July 2022 to February, 2023. The insect groups used were Reticulitermes flavipes (termite), Zonocerus elegans (grasshopper), Acraea acrita (butterfly) and Cremtogaster sp. (Ant). The selected insects’ samples were analyzed using atomic absorption spectrophotometer (AAS). The results showed heavy metal accumulations on the selected insects particularly the toxic metals such as Cadmium (Cd), Copper (Cu), Manganese (Mn) and Mercury (Hg). Insects examined were Reticulitermes flavipes, Zonocerus elegans, Acraea acrita, and Crematogaster sp. collected from Enyigba mines. High concentrations of Cd was recorded in Zonocerus elegans at SA (0.13±0.042) and SB (0.17±0.007) which is far above WHO/FAO permissible limit. The result further revealed that there was also high Cd concentration (0.21±0.011) in Reticulitermes flavipes, which is also far above WHO/FAO permissible limit. Grasshopper, termites and butterfly had the highest accumulation of heavy metals among the studied insect groups, highlighting the challenges of mining on agriculture and food security in the region.

Strategies for Sustainable Mine Reclamation: Case Study of the Meghahatuburu Iron Ore Mine

ABSTRACT The demand for raw materials is increasing rapidly, leading to higher production targets for mining industries. Currently, largescale opencast mining operations are causing extensive damage to forest areas, agricultural land, and various habitats for humans and animals. Despite these negative impacts, mining plays a crucial role in our national economy, serving as the second backbone of the country after agriculture. Given the inevitability of mining operations, it is essential to carry them out in a sustainable manner, minimizing or even eliminating environmental harm. This study focuses on the challenges associated with iron ore mining and emphasizes the significance of ecological restoration and land reclamation in mitigating environmental consequences. The focus of this research work is the implementation of a comprehensive procedural approach to achieve sustainable mine reclamation in an easy way. The primary objective is to restore the biodiversity of the Saranda Forest ecosystem. To accomplish this, a three-tier plantation model was adopted, involving the strategic planting of 2,664 trees and 3,136 herbs/shrubs in 1.5 hector degraded backfilled area. This initiative aims to rehabilitate the degraded land that has been adversely affected by mining activities.

From waste to an added-value commodity: challenges in valorization opportunity of tin-residual sand for silica-based industry

Abstract Extensive tin mining activities produce sand piles with high silica, leaving vast environmental and economic responsibilities. The circular economy implementation can address these problems by valorizing quartz sand as industrial sand. Therefore, the study assesses the quartz sand left over from tin mining and processing activities on Bangka Island to become a valuable product within the CPQvA Framework consisting of classification (C), potential utilization (P), quantity and viability (Qv), and application (A). The criteria comprise 12 weighted questions to define the criticality indices categorized as easy, moderate, and difficult. With complex purification technology, quartz sand can be used as silica sand for ceramics, foundry mould, refractory bricks, glass, and solar cells. The quantity is large and feasible for a factory scale with expensive investment and operational costs. The product performance shows good quality from a technical aspect. Due to impurities content and its complex purification technology, the valorization of quartz sand produces a difficult criticality index for the solar cells, a moderate criticality index for the glass and ceramics industry, and an easy criticality index for the glaze, refractory brick, and foundry mold industries. Therefore, proven and efficient purification technology is crucial for further research.

Base-metal exploration by using remote sensing, geological, geophysical, and geochemical datasets with clues from ancient mining: A comprehensive review on Aravalli-Delhi Fold Belt, Rajasthan, India

Base metal deposits are present in different continents with evidences of their mining activities during ancient times as mentioned in the historical literature. Aravalli – Delhi Fold Belt (ADFB) in Rajasthan, India is having numerous base metal prospects where ancient mining signages are recorded. Modern-day mining has commenced taking clues from these evidences. Present-day techniques such as remote sensing, geological mapping, geophysical survey, geochemical survey, and exploration/drilling are utilized for the identification of surficial ancient mining features and identification of the mineralized zones. These techniques utilize their unique criteria to get an idea of the mineral association. The integration of all the unique characteristics of modern techniques with the help of weighted overlay analysis, fuzzy logic, multi-criteria overlay analysis, etc. helps to identify the mineral potential zones from the ancient working sites. Their integrated results provide the surficial as well as sub-surficial information of the region that gives a better revelation about the region and helps in decision-making towards the mineralization status of the region. World-over surficial ancient features have been recorded in exploratory sites for base metals, and the case histories where integrated techniques were used for mineral exploration are discussed. Zawar – Dungarpur belt also has the potential for base metals therefore, the boolean approach, weighted overlay, and multi-criteria overlay analysis were performed using remote sensing, structural, and geochemical datasets. The integrated results showed that the head zone and southern broader part near Keekawat have the potential for base metals.

Determination of mining-induced stress based on mining face hydraulic support stress and micro-seismicity

Understanding dynamic visualization of mining-induced stress is of great significance to disaster prevention and control in coal mining activities. In this study, three theoretical models, including linear, polynomial, and exponential models, are proposed to inverse the mining-induced stress through the acquisition and analysis of hydraulic support stress and micro-seismicity in the coal mining face. The distribution of mining-induced stress in the coal seam are graphed by fitting two key stress parameters including hydraulic support stress and peak stress, and two key zones including goaf zone and in situ stress zone. These key stress parameters and zones are defined based on the critical nodes of the model curve. According to the geological background of Mataihao coal mine in Erdos, Inner Mongolia Autonomous Region, China, the contours of mining-induced stress are graphed through the stress calculation of these three inversion theoretical models. The multi-monitoring data of micro-seismicity, drilling chips, advanced borehole stress and bolts axial force are used to verify the key stress parameters and zones of the theoretical models. It shows that the monitoring data are in good agreement with the distribution of inversed results. It should be emphasized that, if the fault structure exists around the mining face, the mining-induced stress decreases obviously when the mining face is passing through the faults, and the location of the peak stress will be closer to the mining face. The results in this study could provide methods for early prevention of extreme mining-induced stress and disaster control in the mining activities.

Evaluating ecological risks and metal bioavailability in post-dredging sediments of a wetland affected by artisanal gold mining

The evaluation of metal contamination, ecological risk, bioavailability, and the environmental dredging depth in sediments of two Colombian riverine systems impacted by artisanal gold mining and agricultural activities, was conducted following dredging processes. Results indicated significant contamination by Cd and Pb before dredging, based on the contamination factor (CF) and the geoaccumulation index (Igeo). Additionally, Cu and Hg were found to cause adverse biological effects according to sediment quality guidelines. Post-dredging, surface sediments exhibited a moderate ecological risk index (RI, 150–300), primarily due to increased contamination by Hg, Pb, and Cd. To mitigate this ecological risk (RI < 150), the environmental dredging depth needed to exceed 20 cm for all metals. On average, the bioavailable fraction increased 2.3 times within two months after dredging. However, the low environmental risk (%F1 = 1–10) calculated using risk assessment codes (RAC) indicates a potential risk due to metals entering the water column and bioaccumulating in organisms. These findings provide insights into the dynamics of metals and the impact of dredging activities on sediments in the Colombian Caribbean coast affected by various anthropogenic activities. The research underscores the importance of integrating sustainable practices in mining and agriculture to protect the ecological integrity of these riverine systems.

Assessing the true value of ecological restoration in mining areas: An input-output approach based on ecosystem service valuation

Historical unsustainable mining activities have led to significant ecological degradation, emphasizing the importance and urgency of ecological restoration and its effectiveness assessment. This study evaluates the economic, ecological, and social benefits of ecological restoration in the Longshan mining area from the perspective of ecological product value, utilizing an input–output research framework based on ecosystem service valuation. This comprehensive assessment includes consideration of restoration cost inputs, aiming to delve into the effectiveness of ecological restoration projects in mining areas. The findings reveal: (1) The indirect value of the ecological products generated by the ecological restoration is approximately 3.13 times greater than their direct value, highlighting the significantly positive impacts of the project. This underscores the necessity for future assessments of mining area ecological restoration projects to not only focus on direct economic returns but also to thoroughly examine their long-term positive impacts on social structures, environmental quality, and residents’ quality of life. (2) When considered solely from an economic benefit perspective, the input–output ratio of the project is 0.34, insufficient to cover the total cost of the project. However, after integrating economic, ecological, and social benefits, the input–output ratio increases to 1.40. This indicates the importance of exploring the mechanisms through which the indirect values of ecological and social benefits contribute directly to the project’s economic sustainability.

Effects of coal mining disturbance on spatial and temporal distribution of soil water content in Northwest China‐based on 3D EBK model

AbstractNorthwest China is both an important coal storage base and an ecologically fragile area, and soil water content (SWC) is a key factor limiting the ecological development of Northwest China. Revealing the characteristics of spatial and temporal distribution changes of soil water content in mining areas under coal mining disturbance and the influencing mechanism is crucial for the protection of water resources in mining areas. In this study, the soil water content (depth 0–1000 cm) of a typical coal mine subsidence area in the western part of Shendong Coal Group was monitored in situ for 1 year after mining, and the absolute value, variability, and spatial distribution of soil water content were temporally analysed by combining classical statistics, 2D Ordinary Kriging and 3D Empirical Bayesian kriging spatial interpolation. sequence analysis. The results showed that the shallow SWC (0 ~ 60 cm) was distributed horizontally in bands, and gradually increased along the direction from northwest to southeast; with the increase of coal mining time, the absolute value of SWC decreased by 0.81% ~ 33.58%, and the coefficient of variation decreased and then increased, with the range of variation from 2.19% ~ 34.49%. The deep SWC (100 ~ 1000 cm) was stratified vertically and increased with soil depth, and the shallow and deeper soil moisture would gradually migrate to the middle layer under the influence of coal mining. In addition, this paper accurately portrays the three‐dimensional spatial and temporal distribution of soil water content by the 3D EBK model, which further reveals the mechanism of coal mining's influence on soil water content. This study can provide technical and data support for predicting and evaluating the potential impacts of mining activities on the water cycle, and help mining areas to formulate policies for managing and protecting water resources.

A Critical Review on Static and Dynamic Performance of Coal Mine Overburden Dump Slopes: Present Status and Way Forward

ABSTRACT In the last two decades, opencast coal mining has dominated the coal mining sector of India in comparison to the underground mining. This has caused an increase in large quantity of overburden (OB) waste material which is generally dumped in the form of slope commonly known as OB dump slope. The highly heterogeneous OB dump materials are generally dumped in the loose state implying that the OB dump slopes are highly vulnerable to failure. Therefore, proper functioning of the mining activities requires stable OB dump slopes. This paper briefly provides an overview on the formation of OB dump slopes and some catastrophic failures highlighting the importance of proper and adequate analyses. Next, the major factors affecting the OB dump stability are discussed elaborately with respect to the performance of the slopes under static and dynamic loading. Finally, various approaches available for the assessment of their stability are collated and discussed. The important aspect of consideration of heterogeneity on the performance of slope is highlighted and the need of detailed future research is envisaged.