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Analytical methods used in the Geologic Division laboratories of the U.S. Geological Survey for the inorganic chemical analysis of rock and mineral samples.
Environmental Geochemistry: Site Characterization, Data Analysis and Case Histories, Second Edition, reviews the role of geochemistry in the environment and details state-of-the-art applications of these principles in the field, specifically in pollution and remediation situations. Chapters cover both philosophy and procedures, as well as applications, in an array of issues in environmental geochemistry including health problems related to environment pollution, waste disposal and data base management. This updated edition also includes illustrations of specific case histories of site characterization and remediation of brownfield sites. - Covers numerous global case studies allowing readers to see principles in action - Explores the environmental impacts on soils, water and air in terms of both inorganic and organic geochemistry - Written by a well-respected author team, with over 100 years of experience combined - Includes updated content on: urban geochemical mapping, chemical speciation, characterizing a brownsfield site and the relationship between heavy metal distributions and cancer mortality
Handbook of Exploration Geochemistry, Volume 2: Statistics and Data Analysis in Geochemical Prospecting aims to survey the techniques available for the quality control of laboratory data, storage and retrieval of field and laboratory information, statistical analysis of single- and multi-element data, and presentation of geochemical data as maps. The selection first elaborates on data storage and retrieval, control procedures in geochemical analysis, and univariate analysis. Discussions focus on analysis of variance, density distribution, probability graphs, statistical basis of analytical quality control, laboratory control procedures, data storage media, data organization, programming considerations, and generalized data systems. The book then takes a look at sampling methodology, mapping, and multivariate analysis. Concerns cover correlation, cluster analysis, regression, partial correlation, class selection techniques, map filtering techniques, cross-correlation maps, strategies for optimum sampling design, and search techniques. The manuscript elaborates on examples of geochemical data processing in Africa, mathematical and statistical activity in North America, statistical models for geochemical anomalies, geochemical characterization of tin granites in northern Thailand, and use of pattern classification methods in till geochemistry. The selection is highly recommended for researchers interested in statistics and data analysis in geochemical prospecting.
Methods used in collection, analysis, and interpretation of data in regional geochemical survey.