[PDF] Kensington Gold Project Large Mine Permit M 06 90 eBook

Author : Jerrold J Marcus
Publisher : World Scientific
Page : 815 pages
File Size : 40,83 MB
Release : 1997-05-03
Category :
ISBN : 1783264128

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Negative environmental events make the headlines. Mining industry examples are the recent incidents at Summitville, Colorado, US, and the cyanide leak at Cambria Resource's Omai Operation in Guyana. In this volatile atmosphere, the publication of the Mining Environmental Handbook comes at an opportune time. It presents an objective, comprehensive and integrated examination of the effects of mining on the environment, and the environmental laws that deal with mining. Though stressing activities in the United States of America, it covers all of North America.North American environmental standards are currently being exported around the world. Consequently, this handbook will be of prime interest in countries that are now coming to terms with mining environmentalism. It should benefit working engineers and environmentalists, manufacturers, legislators, regulators, financiers and journalists. It has been selected as a university textbook. Finally, it will be an indispensable reference during serious discussions about mining environmentalism.

Author : Jim Fowler
Publisher : John Wiley & Sons
Page : 235 pages
File Size : 49,8 MB
Release : 2013-06-20
Category : Science
ISBN : 1118685644

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Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings. An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease. To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included. It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.