Online evaluation method of coal mine comprehensive level based on FCE.

An online evaluation method of coal mine comprehensive level based on Fuzzy Comprehensive Evaluation method (FCE) is proposed. Firstly, following the principles of fairness, systematicness and hierarchy, taking research and development, production, sales, finance, safety and management as the first level indicators, a set of multi-level evaluation indicator system of coal mine comprehensive level combining objective and subjective evaluation indicators is established. Secondly, according to the characteristics of the indicator system, the specific process of FCE of coal mine comprehensive level is given. Then, taking SQL Server as the database management system and C#.NET as the development language, a set of B/S structure online evaluation system of coal mine comprehensive level based on FCE is designed and developed. Finally, the proposed method is applied to Coal group PM for test. The application shows that the method proposed can provide an efficient and convenient online evaluation platform to evaluate the comprehensive level of coal mines for the Coal group, and the horizontal and longitudinal comparison of the evaluation results can urge the coal mines to maintain their advantages and avoid their disadvantages, which is of some significance for improving the overall competitiveness of the Coal group.

The enduring legacy of black lung: environmental health and contested illness in Appalachia.

Over the past twenty years there has been a deadly resurgence of coal workers' pneumoconiosis (CWP), commonly known as black lung disease. While increased prevalence of the disease is alarming, these data only capture cases where CWP has been officially recognised. We argue that many more cases of the disease are going unreported. Drawing from contested environmental illness literature, we examine issues surrounding diagnostic uncertainty and medical surveillance. We draw from qualitative data on black lung that includes in-depth interviews, observation and document analysis. Findings indicate ongoing ambiguity and contestation over diagnosis of the disease, ranging from clinical and legal debates to concerted efforts to limit official recognition. While health screenings are currently available to miners, our results indicate low participation rates based on disincentives for early detection, logistical problems, and economic fears. Miners fear workplace discrimination and retaliation for participation in black lung screening programmes. Implications for public health policy and future research are discussed.

Risk Management Interventions to Reduce Injuries and Maximize Economic Benefits in U.S. Mining.

OBJECTIVE: Risk management (RM) is a cyclical process of identifying and ranking risks, implementing controls, and evaluating their effectiveness. This study aims to identify effective RM interventions in the U.S. mining industry. METHODS: RM interventions were identified in four companies representing metal, aggregate, and coal mining sectors. Injury rates were determined using Mine Safety and Health Administration (MSHA) data and changes in injury rates identified through change point analysis. Program implementation costs and associated changes in injury costs were evaluated for select interventions. RESULTS: Six of 20 RM interventions were associated with a decline in all injuries and one with a reduction in lost-time injuries, all with a positive return on investment. CONCLUSION: Reductions in injuries and associated costs were observed following implementation of a limited number of specific RM interventions.

Crowding-out effect of coal industry investment in coal mining area: taking Shanxi province in China as a case.

The rapid development of coal industry in Shanxi province in China has important effects on its economic development. A large amount of money has been invested into the coal industry and other related industries during the recent years. However, research on the investment effect of Shanxi's coal industry was rare. In order to analyze the investment effect of coal industry, based on the crowding-out effect model, cointegration test, and the data available in Shanxi Statistical Yearbooks, this paper calculates the effect between coal industry investment and other 17 industry investment. The results show that the investment of coal industry produces crowding-out effect on food industry, building materials industry, and machinery industry. Increasing 1% of the coal industry investment can reduce 0.25% of the food industry investment, or 0.6% of building materials industry investment, or 0.52% of the machinery industry investment, which implies that Shanxi province should adjust coal industrial structure, promote the balance development of coal industry and other industries, so as to promote its economic growth.

A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines.

In the context of underground coal mining industry, the increased economic issues regarding implementation of additional safety measure systems, along with growing public awareness to ensure high level of workers safety, have put great pressure on the managers towards finding the best solution to ensure safe as well as economically viable alternative selection. Risk-based decision support system plays an important role in finding such solutions amongst candidate alternatives with respect to multiple decision criteria. Therefore, in this paper, a unified risk-based decision-making methodology has been proposed for selecting an appropriate safety measure system in relation to an underground coal mining industry with respect to multiple risk criteria such as financial risk, operating risk, and maintenance risk. The proposed methodology uses interval-valued fuzzy set theory for modelling vagueness and subjectivity in the estimates of fuzzy risk ratings for making appropriate decision. The methodology is based on the aggregative fuzzy risk analysis and multi-criteria decision making. The selection decisions are made within the context of understanding the total integrated risk that is likely to incur while adapting the particular safety system alternative. Effectiveness of the proposed methodology has been validated through a real-time case study. The result in the context of final priority ranking is seemed fairly consistent.

The Economic Impact of Psychological Distress in the Australian Coal Mining Industry.

OBJECTIVE: The aim of this study was to estimate the economic impact of psychological distress among employees of the Australian Coal Mining Industry. METHODS: Sample data were gathered from 1456 coal mining staff across eight sites in two Australian states. Two measures were taken of work time lost over four weeks due to psychological distress: (1) full-day absences; (2) presenteeism. Lost work time was valued using hourly wages. Sample data was modeled to estimate annual monetary losses for the Australian Coal Mining Industry. RESULTS: For the sample, estimated annual value of time lost due to psychological distress was $4.9 million ($AUS2015) ($0.61 million per mine), and for the Australian Coal Mining Industry, $153.8 million ($AUS2015). CONCLUSION: Psychological distress is a significant cost for the Australian Coal Mining Industry. Relevant intervention programs are potentially cost-effective.

Profitability and occupational injuries in U.S. underground coal mines.

BACKGROUND: Coal plays a crucial role in the U.S. economy yet underground coal mining continues to be one of the most dangerous occupations in the country. In addition, there are large variations in both profitability and the incidence of occupational injuries across mines. OBJECTIVE: The objective of this study was to examine the association between profitability and the incidence rate of occupational injuries in U.S. underground coal mines between 1992 and 2008. DATA AND METHOD: We used mine-specific data on annual hours worked, geographic location, and the number of occupational injuries suffered annually from the employment and accident/injury databases of the Mine Safety and Health Administration, and mine-specific data on annual revenue from coal sales, mine age, workforce union status, and mining method from the U.S. Energy Information Administration. A total of 5669 mine-year observations (number of mines×number of years) were included in our analysis. We used a negative binomial random effects model that was appropriate for analyzing panel (combined time-series and cross-sectional) injury data that were non-negative and discrete. The dependent variable, occupational injury, was measured in three different and non-mutually exclusive ways: all reported fatal and nonfatal injuries, reported nonfatal injuries with lost workdays, and the 'most serious' (i.e. sum of fatal and serious nonfatal) injuries reported. The total number of hours worked in each mine and year examined was used as an exposure variable. Profitability, the main explanatory variable, was approximated by revenue per hour worked. Our model included mine age, workforce union status, mining method, and geographic location as additional control variables. RESULTS: After controlling for other variables, a 10% increase in real total revenue per hour worked was associated with 0.9%, 1.1%, and 1.6% decrease, respectively, in the incidence rates of all reported injuries, reported injuries with lost workdays, and the most serious injuries reported. CONCLUSION: We found an inverse relationship between profitability and each of the three indicators of occupational injuries we used. These results might be partially due to factors that affect both profitability and safety, such as management or engineering practices, and partially due to lower investments in safety by less profitable mines, which could imply that some financially stressed mines might be so focused on survival that they forgo investing in safety.

Coal mining, social injustice and health: a universal conflict of power and priorities.

Given the current insatiable demand for coal to build and fuel the world's burgeoning cities the debate about mining-related social, environmental and health injustices remains eminently salient. Furthermore, the core issues appear universally consistent. This paper combines the theoretical base for defining these injustices with reports in the international health literature about the impact of coal mining on local communities. It explores and analyses mechanisms of coal mining related injustice, conflicting priorities and power asymmetries between political and industry interests versus inhabitants of mining communities, and asks what would be required for considerations of health to take precedence over wealth.

Removal of regulations on black lung benefits. Final rule.

This final rule removes regulations on the Black Lung program from the Social Security Administration's (SSA) chapter of the Code of Federal Regulations (CFR). The Black Lung Consolidation of Administrative Responsibility Act transferred the responsibility for administering Part B of the Black Lung benefits program from SSA to the Department of Labor (DOL), and we are removing the regulations in recognition of the fact that we are no longer responsible for administering any aspect of the Part B Black Lung program. DOL concurs with this final rule removing the regulations.

Costs of abandoned coal mine reclamation and associated recreation benefits in Ohio.

Two hundred years of coal mining in Ohio have degraded land and water resources, imposing social costs on its citizens. An interdisciplinary approach employing hydrology, geographic information systems, and a recreation visitation function model, is used to estimate the damages from upstream coal mining to lakes in Ohio. The estimated recreational damages to five of the coal-mining-impacted lakes, using dissolved sulfate as coal-mining-impact indicator, amount to $21 Million per year. Post-reclamation recreational benefits from reducing sulfate concentrations by 6.5% and 15% in the five impacted lakes were estimated to range from $1.89 to $4.92 Million per year, with a net present value ranging from $14.56 Million to $37.79 Million. A benefit costs analysis (BCA) of recreational benefits and coal mine reclamation costs provides some evidence for potential Pareto improvement by investing limited resources in reclamation projects.

Risk perceptions in a resource community and communication implications: emotion, stigma, and identity.

Communication targeting resource communities, sites of potentially damaging industries such as forestry, mining, and logging, requires an understanding of risk perceptions among residents living within these communities. Among concerns facing these communities is social stigmatization, an actual or feared negative psychological experience associated with living in a community with an undesirable industry. This study of a coal-mining resource community was conducted with the purpose of exploring a range of perceptions associated with ongoing exposure to a resource industry, including the experience of social stigma. This study used focus group interviews with stakeholders to highlight the personal voices of the resource community experience. A model of stakeholders' perceptions of industry risks and benefits is introduced, and important distinctions between hypothetical risk perceptions and perceptions of resource community stakeholders are explored. Implications for communicating with resource communities are also discussed.

Towards "a different kind of beauty": responses to coal-based pollution in the Witbank coalfield between 1903 and 1948.

This article assesses the changing conceptions of the environmental impact of South African coal mining in the first half of the twentieth century, with special reference to the Witbank coalfield in the Mpumalanga province of South Africa. The anticipated development of the emerging coal town of Witbank was founded on the growing demand for coal. As Witbank's local landscape became visibly scarred, coal-based pollution was continually challenged and redefined. In an attempt to market electricity, and appease the doubts of potential consumers, attempts were made by Escom to romanticise features of Witbank's industrialised environment. Once mines were decommissioned, they were abandoned. Coal production increased dramatically during the Second World War, which provided an economic windfall for the local electrical, steel and chemical industries, placing undue pressure on the coal industry to step up production. The severe damage caused by coal mining during this period resulted in the ecological devastation of affected landscapes. The findings of an inter-departmental committee established to conduct research during the mid-1940s revealed the gravity of coal-based pollution, and set a precedent in the way that the state conceived of the impact of industry and mining. The report of this committee was completed in the wake of the war, by which time the Witbank coalfield had become one of the most heavily polluted regions of South Africa.

Anti-diabetic activity of a mineraloid isolate, in vitro and in genetically diabetic mice.

Type II diabetes is a metabolic disease mediated through multiple molecular pathways. Here, we report anti-diabetic effect of a standardized isolate from a fossil material - a mineraloid leonardite - in in vitro tests and in genetically diabetic mice. The mineraloid isolate stimulated mitochondrial metabolism in human fibroblasts and this stimulation correlated with enhanced expression of genes coding for mitochondrial proteins such as ATP synthases and ribosomal protein precursors, as measured by DNA microarrays. In the diabetic animal model, consumption of the Totala isolate resulted in decreased weight gain, blood glucose, and glycated hemoglobin. To our best knowledge, this is the first description ever of a fossil material having anti-diabetic activity in pre-clinical models.

Rates and costs of respiratory illness in coal mining: a cross-industry comparative analysis.

OBJECTIVE: To estimate the prevalence and costs of respiratory illness for workers in coal mining, compared with other US industries. METHODS: Using 5 years of insurance claims data for an annual average of 96,240 adult males, we model the probability and costs of respiratory illness as a function of workers' industry and other factors. RESULTS: Controlling for nonindustry factors, workers in coal mining had significantly higher rates of respiratory illness claims (by 2.1% to 3.3% points) compared with other mining, agriculture, construction, and manufacturing. For coal mining workers with respiratory illness, annual medical care costs for these claims were also significantly higher (by $111 to $289). Surprisingly, drug costs were mostly lower (by $17 to $268). CONCLUSIONS: Our findings underscore the continued importance and potential cost effectiveness of measures to protect miners from harmful occupational exposures, particularly to coal dust.