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This study aims to clarify the evolution law of stress field and fracture field during the mining process of inclined coal seam, to prevent the occurrence of roof burst water and impact ground pressure accident during the advancing process of working face.

The evolution law of stress-fracture field under different mining conditions of inclined coal seam was studied by using discrete element method and similar material simulation method.

The overburden stress at the lower end of the coal seam was mainly transmitted to the deep rock mass on the left side, and the overburden stress at the upper end was mainly transmitted to the floor direction. With the increase of the inclined length of the mining coal seam, the development of the fracture zone gradually evolves from the “irregular arch” form to the “transversely developed trapezoid” form. The development range of the fracture zone was always in the internal area of the stress concentration shell.

An original element of this paper is based on the condition that the dip angle of coal seam is 35°, and the evolution law of overburden stress-fracture field during the excavation of coal seam with different lengths was analyzed by UDEC numerical simulation software. The coupling relationship between stress shell and fracture field was proposed, and the development range of fracture zone was determined by stress. The value of this paper is to provide technical support and practical basis for the safety production of a mine working face.

The purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the application of interpretive structural modeling (ISM), matrice d' impacts croisés-multiplication appliquée á un classement (MICMAC) and structural equation modeling (SEM).

In this study, a conceptual model based on ISM was developed forming a hierarchy and contextual relationships of significant enablers for lean implementation in the Indian coal mining industry using a literature review and eliciting expert opinion, which is followed by MICMAC for grouping of enablers and questionnaire survey to validate the ISM based conceptual model using SEM.

The study modeled and analyzed ten significant enablers of lean implementation in the Indian coal mining industry. The findings suggest that the most important lean enablers in the Indian coal mining industry are employee empowerment, employee motivation and commitment, consistent financial performance measurement and management support.

Judgmental sampling was used for selecting the respondents for conducting the questionnaire survey in this research work as there are a few numbers of coal mines implementing lean principles in India. Although the study was not restricted to a particular part of India with the sample representing the heterogeneous population, the study represents more data from the coal mines in eastern India.

The model on lean enablers would help the researchers, decision-makers and practitioners to anticipate potential lean enablers in the Indian coal mines and rank the enablers for improved and efficient usage of the available resources creating value to customers with lean and to sustenance academic research on lean.

Studies on lean enablers in the mining sector are scarce in the literature, and this study is a novel contribution of exploring lean enablers in the Indian coal mining industry using an integrated approach of ISM–MICMAC and SEM.

The purpose of this paper is to identify the main environmental impacts of coal mining in China, examine the main institutions and reform factors that failed the control of these damages, and discuss what would be necessary to establish a sustainable and environmentally responsible coal mining sector in the context of market and institutional reforms.

Review of existing knowledge, and semi‐structured interviewing with key informants in the policy and industry sectors has been the main method of primary and secondary data collection. Grounded theory was used to analyze original data.

The large and fast growing coal industry in China has caused significant environmental degradation, including land subsidence and water intrusion, as well as remarkable records of miner's poor safety and health. Market reform was mostly unsuccessful in integrating environmental consideration into production and marketing decisions. Main factors of reform that have been associated with this problem are price deregulation and excessive competition inside the industry. Institutional reform, in fact, enhanced the status of State Environment Protection Agency; however, it impaired environmental governance in the coal industry. It is suggested that market reform as applicable to the China coal industry economic sector in particular should reconsider its approach in light of the numerous problems it has created.

The paper identifies and puts together the condition of the growing coal industry in China after market reform, articulating the huge environmental costs that this development has imposed on the country, while calling for an environmentally sustainable coal industry.

Drawing from the institutional logics and organizational disaster literature, this paper aims to illustrate that the replacement of logics can be problematic in a high-risk industry such as coal mining by adding an institutional perspective to the understanding of disasters.

This paper investigated the field of coal mining in Turkey historically from archival data resources. A comprehensive, qualitative inquiry of a single-case study was then conducted.

The findings suggest that a shift from social welfare logic to business logic in the coal-mining industry can lead to coal-mining disasters, resulting from changing practices through an increase in the number of private enterprises through royalty contracts, the use of an increased labor force instead of mechanical methods and systems and the maximization of profit by underestimating the effects of taking almost no occupational safety measures.

The connection between institutional logics and organizational disasters could lead institutional actors to question their understanding of institutional logics.

This paper provides original research evidence for the relationship between industrial disasters and institutional logics.

Environmental pollution and corresponding adverse health impacts have now become a significant concern for the entire planet. In this regard, analysts and experts are continually formulating policies to reduce environmental pollution and improve natural ecological conditions. To aid in coping with the ecological predicament, a framework has been developed in the present study to inspect the adverse environmental impacts and related health issues of coal mining.

The parameters for this study have been identified through a review of the literature and finalized 23 critical parameters of air, water, land and soil, and noise related to coal mining by consultation with experts from industry and academia. Finally, the parameters have been categorized in accordance with the level of threat they pose to the environment by assigning weight using the Bradley–Terry model considering attitudinal data acquired by a questionnaire survey.

It is found that coal mining has a relatively higher impact on four attributes of “air pollution” (suspended particulate matter [SPM], respiratory particulate matter [RPM], sulfur dioxide [SO₂] and oxides of nitrogen [NO_x]), followed by “land and soil pollution” (deforestation and surface structure diversion), “noise pollution” (vehicle movement) and “water pollution” (water hardness, total solids (TSS/TDS) and iron content). It is also found that raising the air concentration of SPM and RPM results in increased respiratory and cardiopulmonary mortality. Therefore, reducing dust concentrations into the air generated during coal mining is recommended to reduce air pollution caused by coal mining, which will reduce contamination of water and land and soil.

The model built in this study is a hypothesized model that relied on the experts' opinions considering the parameters of coal production only. However, the parameters related to the usage of coal and its consequences have been excluded. Further, only industrial and academic experts were considered for this study; however, they excluded local people, coal mining personnel, policy authorities, etc. Therefore, the study findings might differ in real circumstances. The research can further be reproduced by considering the parameters related to the use of coal and its consequences, considering the opinions of the local people, coal mining personnel and policy authorities.

Categorizing the parameters according to the threat they pose to the environment due to coal mining can help the decision-maker develop an effective policy to reduce environmental pollution due to coal mining by considering the parameters on a priority basis. In addition, the results further help the decision-makers to assess the environmental impact of coal mining and take necessary action.

The study has developed a framework using the Bradley–Terry model to categorize the environmental parameters of coal mining to develop effective environmental policies, which are original and unique in nature.

This study aims to analyse the deep resource mining that causes high in situ stress, and the disturbance of tunnelling and mining which may induce large stress concentration, plastic deformation and rock strata compression deformation. The depth of deep resources, excavation rate and multilayered heterogeneity are critical factors of excavation disturbance in deep rock. However, at present, there are few engineering practices used in deep resource mining, and it is difficult to analyse the high in situ stress and dynamic three-dimensional (3D) excavation process in laboratory experiments. As a result, an understanding of the behaviours and mechanisms of the dynamic evolution of the stress field and plastic zone in deep tunnelling and mining surrounding rock is still lacking.

This study introduced a 3D engineering-scale finite element model and analysed the scheme involved the elastoplastic constitutive and element deletion techniques, while considering the influence of the deep rock mass of the roadway excavation, coal seam mining-induced stress, plastic zone in the process of mining disturbance of the in situ stress state, excavation rate and layered rock mass properties at the depths of 500 m, 1,500 m and 2,500 m of several typical coal seams, and the tunnelling and excavation rates of 0.5 m/step, 1 m/step and 2 m/step. An engineering-scale numerical model of the layered rock and soil body in an actual mining area were also established.

The simulation results of the surrounding rock stress field, dynamic evolution and maximum value change of the plastic zone, large deformation and settlement of the layered rock mass are obtained. The numerical results indicate that the process of mining can be accelerated with the increase in the tunnelling and excavation rate, but the vertical concentrated stress induced by the surrounding rock intensifies with the increase in the excavation rate, which becomes a crucial factor affecting the instability of the surrounding rock. The deep rock mass is in the high in situ stress state, and the stress and plastic strain maxima of the surrounding rock induced by the tunnelling and mining processes increase sharply with the excavation depth. In ultra-deep conditions (depth of 2,500 m), the maximum vertical stress is quickly reached by the conventional tunnelling and mining process. Compared with the deep homogeneous rock mass model, the multilayered heterogeneous rock mass produces higher mining-induced stress and plastic strain in each layer during the entire process of tunnelling and mining, and each layer presents a squeeze and dislocation deformation.

The results of this study can provide a valuable reference for the dynamic evolution of stress and plastic deformation in roadway tunnelling and coal seam mining to investigate the mechanisms of in situ stress at typical depths, excavation rates, stress concentrations, plastic deformations and compression behaviours of multilayered heterogeneity.

By juxtaposing fatal colliery explosions in early twentieth-century Britain and in 2010 at Pike River, New Zealand, this paper aims to investigate the generalizability of the mock bureaucracy concept to underground coal mining disasters.

The main source is published official accident inquiries; a methodological reflection justifies the use of these materials.

Mock bureaucracies existed in the British underground coal mining milieu from the time when safety rules were first formulated in that industry context. As for Pike River, it is an exemplary case. The development in 1970s Britain of a new approach to safety management (the Robens system), and its subsequent export to New Zealand, means that a contemporary coal mine under financial duress, such as Pike River, is a prime site for mock bureaucracy to flourish.

Although the concept of mock bureaucracy has been applied to an explosion in an underground coal mine before, this is the first paper to explore the concept’s historical usage and generalizability in explaining the environing context of such explosions.

It is recognised by valuers that the effects of coal mining on land in Great Britain can have a significant impact oon the value of a particular site when it is being considered for potential surface development purposes. In this respect a great many buildings are erected successfully each year within mining areas after the effects of mining have been taken into account. If, however, the adverse effects of mining are not recognised and during the site development stage a problem suddenly appears, it is obvious that this may lead to considerable increases in cost and/or delay to the proposed development for which the land was originally purchased. Obviously with sufficient prior appreciation and investigation of the mining position such situations could be avoided. It is with this in mind that the following paper aims to indicate in broad outline, but in such detail relevant to the valuer, some of the major influences of coal mining which require to be recognised and equated in monetary terms when assessing potential site values for development purposes in mining areas.

The purpose of this paper is to integrate drivers of economic performance with environmental management aspects and core managerial functions of the Indian coal mining industry.

For this research paper, primary and secondary data have been used. The primary data were collected through a questionnaire survey which was distributed in the four subsidiaries of Coal India Limited. The validity and reliability of the questionnaire were tested by appropriate statistical techniques. Further, one-sample t-test and multiple linear regression analysis have been used for data analysis.

Testing of hypotheses reveals that there is a high level of integration of environmental management aspects with the seven core managerial functions, namely, production process, distribution process, beneficiation process, quality issues, stakeholders’ interest, health and safety and corporate strategy. Further, the paper identified that there is a positive association between integration of environmental aspects with core functions and the four drivers of economic performance and it is strongly associated with societal-related and risk-related drivers of economic performance. But it is less strongly associated with image-related and efficiency-related drivers of economic performance.

This paper focuses on integrating the environmental management and core functions with key drivers of economic performance in coal mining industry which is one of the most polluting industries of the world. The limitation of the paper is that it is very specific and limited to the coal mining industry.

The paper contributes to the existing work by designing a framework which identifies the key drivers of economic performance and integrating it with the environmental management system of the organisation.

The purpose of this paper is to devise novel methods for effectively reducing China’s coal mining accidents via analysis of the relation between coal mine safety production and social factors.

The variations and characteristics of the safety production for coal mines in China from 1949 to 2013 are studied via induction and statistical analysis of data from the perspective of mortality rate per million tons, raw coal output and death tolls. It is analyzed that the relationship between coal mine safety production level and social economic, safety investment via SPSS.

Analysis of the coal mine safety management evolution across the 64 years after the founding of China demonstrates that China’s coal mine safety management evolution is partitioned into four stages, and there is the coupling relation between coal mine safety production and structure the of coal industry, government supervision and safety investment. By discussing the similarity between China and America in coal mine safety management evolution, it is found that the rapid increase in the number of accidents during the transformation from agricultural to industrial society is not accidental.

The suggestions in this paper are helpful to improve the current safety situation in China’s coal mines and provide management experience to other coal mining countries.

Based on present and future socioeconomic development, it is proposed that the coal mine safety situation can be further enhanced by properly adjusting the structure of the coal industry, strengthening supervision and ensuring safety investment.