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Lindsay Simpson has doggedly pursued an incredible story: how could a company with a globally disastrous reputation for environmental destruction along with a dubious financial status woo an Australian Prime Minister, a State Premier and a handful of regional mayors to back a project to build Australia's largest coalmine and the world's largest coal terminal only kilometres from the Great Barrier Reef? Investigative journalist, former academic and author, Simpson's personal story reveals the truth behind the Adani controversy. Doorknocking at Adani's Indian HQ to hand over a petition from the Australian Conservation Foundation signed by Australia's most prominent citizens; she also lobbied politicians in Parliament House in Canberra, questioning their motives that ensured the mine was approved. Simpson investigates the power of the social movement Stop Adani which has captured the national imagination, proving that while Adani might have gained the political will to build the mine, it has never gained the social will of the people. Adani, Following Its Dirty Footsteps: A Personal Story documents the inconceivable story of how Australian governments abrogated their responsibilities to protect this world heritage icon; bypassing environmental safeguards, thereby irrevocably damaging Australia's reputation as environmental steward of some of the world's most valuable natural assets. This book lays bare the pecuniary interests of Australia's leaders serving a country which is the largest exporter of coal and how money rules over protecting the environment.-- Source other than Library of Congress.

As the world's largest coal producer, China was accounted for about 46% of global coal production. Among present coal mining risks, methane gas (called gas in this paper) explosion or ignition in an underground mine remains ever-present. Although many techniques have been used, gas accidents associated with the complex elements of underground gassy mines need more robust monitoring or warning systems to identify risks. This paper aimed to determine which single method between the PCA and Entropy methods better establishes a responsive weighted indexing measurement to improve coal mining safety. Qualitative and quantitative mixed research methodologies were adopted for this research, including analysis of two case studies, correlation analysis, and comparative analysis. The literature reviewed the most-used multi-criteria decision making (MCDM) methods, including subjective methods and objective methods. The advantages and disadvantages of each MCDM method were briefly discussed. One more round literature review was conducted to search publications between 2017 and 2019 in CNKI. Followed two case studies, correlation analysis and comparative analysis were then conducted. Research ethics was approved by the Shanxi Coking Coal Group Research Committee. The literature searched a total of 25,831publications and found that the PCA method was the predominant method adopted, and the Entropy method was the second most widely adopted method. Two weighting methods were compared using two case studies. For the comparative analysis of Case Study 1, the PCA method appeared to be more responsive than the Entropy. For Case Study 2, the Entropy method is more responsive than the PCA. As a result, both methods were adopted for different cases in the case study mine and finally deployed for user acceptance testing on 5 November 2020. The findings and suggestions were provided as further scopes for further research. This research indicated that no single method could be adopted as the better option for establishing indexing measurement in all cases. The practical implication suggests that comparative analysis should always be conducted on each case and determine the appropriate weighting method to the relevant case. This research recommended that the PCA method was a dimension reduction technique that could be handy for identifying the critical variables or factors and effectively used in hazard, risk, and emergency assessment. The PCA method might also be well-applied for developing predicting and forecasting systems as it was sensitive to outliers. The Entropy method might be suitable for all the cases requiring the MCDM. There is also a need to conduct further research to probe the causal reasons why the PCA and Entropy methods were applied to each case and not the other way round. This research found that the Entropy method provides higher accuracy than the PCA method. This research also found that the Entropy method demonstrated to assess the weights of the higher dimension dataset was higher sensitivity than the lower dimensions. Finally, the comprehensive analysis indicates a need to explore a more responsive method for establishing a weighted indexing measurement for warning applications in hazard, risk, and emergency assessments.

\"Coal is the commodity that powered the technologies that made the modern world. It also brought about unique communities marked by a high degree of social solidarity and self-help. Mining was central to working class life, drawing rural populations into industrial labour, but it often took place in picturesque landscapes, so that its black spoil heaps became a central symbol of the degradation of pastoral life by the demands of an extractive industry. Throughout Europe and the USA photographers have pictured the characteristic landscapes of the industry, and continue to do so as strip mining devastates huge areas of land. Not only landscape photography but also documentary, portraiture, photojournalism and art photography have been used in order to portray mines and miners. This book presents three interlinked strands of investigation. The first is the way in which the production of coal created paradigmatic communities grounded in particular landscapes. The second concerns the role of photography in exploring, delineating and critiquing mining communities. This in turn involves an examination of the aesthetic and social characteristics of a number of genres of photography. Lastly, it considers the growth and decline of these sites, the geographic shift of the industry to other places, and the re-presentation of traditional localities through the lens of the heritage industry and industrial tourism.\"-- Provided by publisher.

Spontaneous combustion of coal is one of the major hazards threatening production safety during longwall mining. Mining-induced voids, which provide passages for air leakage, are the key factor triggering spontaneous combustion of coal in longwall goafs. In this study, a comprehensive method, which combined pressure balance, grouting injection, and filling fissures, was proposed to prevent spontaneous combustion of coal in longwall goafs with complex air leakage. Field engineering practice was carried out in Sitai Coal Mine in China. The results demonstrated that with the application of the proposed method, in the working face, the concentration of CO was decreased from 31ppm to 0 and the air leakage quantity was decreased from 261 to below 80 m3min-1. The gas samples analysis from the gob areas also indicated that concentrations of O2 and CO were successively decreased, indicating that the risk of spontaneous combustion of coal in goafs was eliminated. The above mentioned analysis indicates that, the method proposed in this study is useful and efficient. Successful application of this technology could provide reference for the treatment of other coal mines.

In recent years, the ecology, security, and sustainable development of modern mines have become the theme of coal mine development worldwide. However, spontaneous combustion of coal under conditions of oxygen supply and automatic exothermic heating during coal mining lead to coalfield fires. Coal spontaneous combustion (CSC) causes huge economic losses and casualties, with the toxic and harmful gases produced during coal combustion not only polluting the working environment, but also causing great damage to the ecological environment. China is the world’s largest coal producer and consumer; however, coal production in Chinese mines is seriously threatened by the CSC risk. Because deep underground mining methods are commonly adopted in Chinese coal mines, coupling disasters are frequent in these mines with the coalfield fires becoming increasingly serious. Therefore, in this study, we analyzed the development mechanism of CSC. The CSC risk assessment was performed from the aspects of prediction, detection, and determination of the “dangerous area” in a coal mine (i.e., the area most susceptible to fire hazards). A new geophysical method for CSC determination is proposed and analyzed. Furthermore, the main methods for CSC fire prevention and control and their advantages and disadvantages are analyzed. To eventually construct CSC prevention and control integration system, future developmental direction of CSC was given from five aspects. Our results can present a reference for the development of CSC fire prevention and control technology and promote the protection of ecological environment in China.

The determination of optimal production capacity for open-pit mines is influenced by various economic and technical factors and is highly susceptible to uncertainties. To effectively address the impact of uncertainty on capacity planning, this study develops a production capacity planning model for open-pit coal mines, based on the theory of economies of scale and incorporating multiple uncertainty constraints. A novel method is proposed to quantify and propagate the uncertainties of key capacity control factors, alongside a comprehensive uncertainty analysis framework for total revenue. Using a large-scale open-pit mine as a case study, the relationships and calculation tables for the uncertainties of key control factors are provided. Based on this, a mathematical expression for total revenue under the influence of multiple uncertainties is formulated, and the optimal capacity range is calculated. The application of the model is demonstrated through this case study, revealing that the uncertainties in production costs and coal prices are (-13.05%, +27.68%) and (-10.79%, +10.79%) respectively. Subsequently, risk-tolerant capacity planning recommendations are proposed, effectively mitigating the impact of uncertainties on production capacity determination.

\"A fire broke out in the coal seams of their town years ago, and the flames are still smoldering underground. Margaret and Fritzi, the two sisters who are the heroines of Invitation to the Bold of Heart, the debut novel by Swiss writers Dorothee Elmiger, are the last remaining youth of this vanishing town. Their inheritance is nothing but an abandoned swathe of land ruled by devastation. But the sisters won't accept this state of affairs--they set out on an expedition, determined to piece together the fragments of their family history. Only by learning their own story can they look to the future with hope. When they rediscover a long-forgotten river, the Margaret and Fritzi can sense a new life ahead. Invitation to the Bold of Heart is a startling dystopian tale of hope and exploration and a testament to the timeless need of youth to rebel against authority\"--Jacket.

The global economy threatens the uniqueness of places, people, and experience. In Here and There Bill Conlogue tests the assumption that literature and local places matter less and less in a world that economists describe as “flat,” politicians believe has “globalized,” and social scientists imagine as a “global village.” Each chapter begins at home, journeys elsewhere, and returns to the author’s native and chosen region, northeastern Pennsylvania. Through the prisms of literature and history, the book explores tensions and conflicts within the region, tensions and conflicts created by national and global demand for the area’s resources: fertile farmland, forest products, anthracite coal, and college-educated young people. Making connections between local and global environmental issues, Here and There uses the Pennsylvania watersheds of urban Lackawanna and rural Lackawaxen to highlight the importance of understanding and protecting the places we call home.