Statistical Procedures for Analysis of Environmental Monitoring Data and Risk Assessment PDF Download
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Author: Edward A. McBean
Publisher: Prentice Hall
ISBN:
Category : Mathematics
Languages : en
Pages : 346
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Book Description
For students and professionals in environmental, civil, and mechanical engineering, few tasks are as challenging as statistical analysis and interpretation. In this book, two leaders in the field address these challenges head-on. They introduce each leading statistical analysis technique, downplaying mathematical notation in favor of sample environmental applications and explanations that make sense to non-statisticians. They also address common problems in data interpretation: small data sets; the need to correlate constituents to infill missing data or identify outliers; creating early warning systems with fewer "false positives," handling noise, and assessing risk. Coverage includes: Characterizing environmental quality data with Normal, Lognormal, and other distributions. Characterizing coincident behavior using regression, correlation and multiple regression. Multiple comparisons using ANOVA and associated parametric analysis techniques. Testing differences between monitoring records when censored data records exist. Focuses on "real-world" situations where data sets may be imperfect. Reflecting decades of experience in the field, the authors also show how to use statistical analysis as the input to realistic risk assessment. In particular, they demonstrate simulation procedures for risk characterization, using sampling methodologies from probability distributions of data. Whether you are concerned with issues of air quality, surface water, groundwater, or soil contamination, the techniques covered in this book will be invaluable.
Author: Edward A. McBean
Publisher: Prentice Hall
ISBN:
Category : Mathematics
Languages : en
Pages : 346
Get Book
Book Description
For students and professionals in environmental, civil, and mechanical engineering, few tasks are as challenging as statistical analysis and interpretation. In this book, two leaders in the field address these challenges head-on. They introduce each leading statistical analysis technique, downplaying mathematical notation in favor of sample environmental applications and explanations that make sense to non-statisticians. They also address common problems in data interpretation: small data sets; the need to correlate constituents to infill missing data or identify outliers; creating early warning systems with fewer "false positives," handling noise, and assessing risk. Coverage includes: Characterizing environmental quality data with Normal, Lognormal, and other distributions. Characterizing coincident behavior using regression, correlation and multiple regression. Multiple comparisons using ANOVA and associated parametric analysis techniques. Testing differences between monitoring records when censored data records exist. Focuses on "real-world" situations where data sets may be imperfect. Reflecting decades of experience in the field, the authors also show how to use statistical analysis as the input to realistic risk assessment. In particular, they demonstrate simulation procedures for risk characterization, using sampling methodologies from probability distributions of data. Whether you are concerned with issues of air quality, surface water, groundwater, or soil contamination, the techniques covered in this book will be invaluable.
Author: Zhihua Zhang
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110424908
Category : Mathematics
Languages : en
Pages : 334
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Book Description
Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making. Environmental Data Analysis explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and is written in a self-contained way that is accessible to researchers and advanced students in science and engineering. This is an excellent reference for scientists and engineers who wish to analyze, interpret and model data from various sources, and is also an ideal graduate-level textbook for courses in environmental sciences and related fields. Contents: Preface Time series analysis Chaos and dynamical systems Approximation Interpolation Statistical methods Numerical methods Optimization Data envelopment analysis Risk assessments Life cycle assessments Index
Author: Bryan F.J. Manly
Publisher: CRC Press
ISBN: 1439878129
Category : Mathematics
Languages : en
Pages : 312
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Book Description
Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.
Author: Wayne R. Ott
Publisher: Routledge
ISBN: 1351450085
Category : Mathematics
Languages : en
Pages : 336
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Book Description
This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting importa
Author: Edward A. McBean
Publisher: John Wiley & Sons
ISBN: 1119289084
Category : Science
Languages : en
Pages : 336
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Book Description
A guide to the methodologies, typical mathematical notation, and assumptions used in risk assessment calculations Risk Assessment describes the methodologies, the math, and assumptions needed in risk assessment calculations and explores the various statistical analysis procedures that are used for estimating the parameters employed in risk assessment approaches. The author—a noted expert in the field—outlines a logical step-by-step approach to assessment: Identify a hazard; Analyze the risk associated with that hazard; and Determine if the elimination, or control of the risk is warranted. The text puts the focus on assessing environmental risk and describes the basics used in hypothesis testing to determine when there are differences in environmental quality at various locations. The author describes statistical techniques in approachable terms that are designed to be understandable to the non-statistician. The text downplays mathematical notation while offering clear explanations for the development of equations. It highlights applications with numerous examples of problems of censored data as they influence the use of alternative tests. In addition, the text focuses on both parametric and non-parametric procedures. This important resource: Describes in understandable terms the methodologies, typical mathematical notation, and assumptions used in risk assessment calculations Explores the fundamental calculation procedures and approaches for risk characterization Contains a wealth of example problems of interpretations of environmental monitoring results and shows how each procedure is used Includes problems at the end of each chapter that stress the fundamental concepts outlined Written for senior undergraduate and graduate students and as a course text in engineering, Risk Assessment offers a guide to the fundamental calculation procedures and methodologies for characterizing risk in clear and accessible terms.
Author: D.T. Chapman
Publisher: Springer Science & Business Media
ISBN: 9780792306191
Category : Mathematics
Languages : en
Pages : 394
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Book Description
This book contains the proceedings of a workshop, 'Statistical Methods for the Assess ment of Point Source Pollution', held September 12-14, 1988, at the Canada Centre for Inland Waters in Burlington, Ontario, Canada. The objectives of the workshop were to: a) advance the art, science, and application of statistical methods to current water quality issues by stimulating discussions and disseminating ideas and information. The emphasis was on statistical problems associated with monitor ing and controlling discharges from industries and municipalities and assessing the impact of these discharges on receiving water quality, b) provide a forum for managers, engineers, scientists, and statisticians to present and discuss techniques for evaluating water quality data and planning monitoring activities, c) provide a published state-of-the art summary of the application of statistical methods for the assessment of point source discharges and their impact on water qUality. The papers contained in this volume cover a number of topics that are of concern not only for monitoring and assessing point source pollution but also for other environmental problems.
Author: Richard O. Gilbert
Publisher: John Wiley & Sons
ISBN: 9780471288787
Category : Technology & Engineering
Languages : en
Pages : 354
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Book Description
This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.
Author: Sally L. Benjamin
Publisher: CRC Press
ISBN: 1420026275
Category : Law
Languages : en
Pages : 680
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Book Description
A Practical Guide to Understanding, Managing and Reviewing Environmental Risk Assessment Reports provides team leaders and team members with a strategy for developing the elements of risk assessment into a readable and beneficial report. The authors believe that successful management of the risk assessment team is a key factor is quality repor
Author:
Publisher: John Wiley & Sons
ISBN: 0470035498
Category : Mathematics
Languages : en
Pages : 2163
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Book Description
Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.
Author: Janick Artiola
Publisher: Elsevier
ISBN: 0080491278
Category : Science
Languages : en
Pages : 425
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Book Description
Environmental Monitoring and Characterization is an integrated, hands-on resource for monitoring all aspects of the environment. Sample collection methods and relevant physical, chemical and biological processes necessary to characterize the environment are brought together in twenty chapters which cover: sample collection methods, monitoring terrestrial, aquatic and air environments, and relevant chemical, physical and biological processes and contaminants. This book will serve as an authoritative reference for advanced students and environmental professionals. Examines the integration of physical, chemical, and biological processes Emphasizes field methods and real-time data acquisition, made more accessible with case studies, problems, calculations, and questions Includes four color illustrations throughout the text Brings together the concepts of environmental monitoring and site characterization
