Surface Mining, Second Edition

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Author :
Release : 1990
Genre : Reference
Kind :
Book Rating : 027/5 ( reviews)

Surface Mining, Second Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Surface Mining, Second Edition write by Bruce A. Kennedy. This book was released on 1990. Surface Mining, Second Edition available in PDF, EPUB and Kindle. This SME classic is both a reference book for the working engineer and a textbook for the mining student. This hardcover edition gives a brief history of surface mining and a general overview of the state of surface mining today--topics range from production and productivity to technological developments and trends in equipment. This extremely useful text takes the approach that exploration and mining geologists must be expert in a number of fields, including basic finance and economics, logistics, and pragmatic prospecting. Readers will find material on all these topics and more. The book's nine chapters include: Introduction, Exploration and Geology Techniques, Ore Reserve Estimation, Feasibility Studies and Project Financing, Planning and Design of Surface Mines, Mine Operations, Mine Capital and Operating Costs, Management and Organization, and Case Studies. The book is fully indexed.

Surface Mining Technology

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Release : 2021-07-31
Genre : Science
Kind :
Book Rating : 684/5 ( reviews)

Surface Mining Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Surface Mining Technology write by Mostafa Mohamed Ali Elbeblawi. This book was released on 2021-07-31. Surface Mining Technology available in PDF, EPUB and Kindle. This book gives a brief history and a general overview of the state of surface mining technology with topics ranging from the principles to surface mining methods, systems, and pit planning design. It starts with the definition of surface mine and ends with land reclamation and mine closure. The following chapters address the basics of mineral economics, calculation of stripping ratio; exploitation of difficult parts of ore deposits, slope stability, controlling falls and slides in the surface mines, sorts of freight traffic, scrapers, bulldozers, and loaders. The book serves as a reference text for mining students, engineers, and geologists.

To Save the Land and People

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Release : 2003-11-20
Genre : Science
Kind :
Book Rating : 630/5 ( reviews)

To Save the Land and People - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook To Save the Land and People write by Chad Montrie. This book was released on 2003-11-20. To Save the Land and People available in PDF, EPUB and Kindle. Surface coal mining has had a dramatic impact on the Appalachian economy and ecology since World War II, exacerbating the region's chronic unemployment and destroying much of its natural environment. Here, Chad Montrie examines the twentieth-century movement to outlaw surface mining in Appalachia, tracing popular opposition to the industry from its inception through the growth of a militant movement that engaged in acts of civil disobedience and industrial sabotage. Both comprehensive and comparative, To Save the Land and People chronicles the story of surface mining opposition in the whole region, from Pennsylvania to Alabama. Though many accounts of environmental activism focus on middle-class suburbanites and emphasize national events, the campaign to abolish strip mining was primarily a movement of farmers and working people, originating at the local and state levels. Its history underscores the significant role of common people and grassroots efforts in the American environmental movement. This book also contributes to a long-running debate about American values by revealing how veneration for small, private properties has shaped the political consciousness of strip mining opponents.

Introductory Mining Engineering

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Release : 2002-08-09
Genre : Technology & Engineering
Kind :
Book Rating : 511/5 ( reviews)

Introductory Mining Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introductory Mining Engineering write by Howard L. Hartman. This book was released on 2002-08-09. Introductory Mining Engineering available in PDF, EPUB and Kindle. An introductory text and reference on mining engineering highlighting the latest in mining technology Introductory Mining Engineering outlines the role of the mining engineer throughout the life of a mine, including prospecting for the deposit, determining the site's value, developing the mine, extracting the mineral values, and reclaiming the land afterward. This Second Edition is written with a focus on sustainability-managing land to meet the economic and environmental needs of the present while enhancing its ability to also meet the needs of future generations. Coverage includes aboveground and underground methods of mining for a wide range of substances, including metals, nonmetals, and fuels. Completely up to date, this book presents the latest information on such technologies as remote sensing, GPS, geophysical surveying, and mineral deposit evaluation, as well as continuous integrated mining operations and autonomous trucks. Also included is new information on landscape restoration, regional planning, wetlands protection, subsidence mitigation, and much more. New chapters include coverage of: * Environmental responsibilities * Regulations * Health and safety issues Generously supplemented with more than 200 photographs, drawings, and tables, Introductory Mining Engineering, Second Edition is an indispensable book for mining engineering students and a comprehensive reference for professionals.

Data Mining

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Release : 2011-02-03
Genre : Computers
Kind :
Book Rating : 369/5 ( reviews)

Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining write by Ian H. Witten. This book was released on 2011-02-03. Data Mining available in PDF, EPUB and Kindle. Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. - Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects - Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization