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Author: Bernie Goldman Publisher: ISBN: 9781641161640 Category : Science Languages : en Pages : 216
Book Description
Environmental science is an interdisciplinary field that integrates physical, biological and information sciences to study the environment and develop solutions for environmental problems. The study of earth processes, natural resource management, pollution control and mitigation, alternative energy systems and effects of climate change are covered within this domain. The related areas of environmental studies and environmental engineering are significant to the understanding of the human relationship with the environment and for developing strategies for improving environmental quality. The study of the earth's atmosphere, ecology, crust and chemical alterations in the atmosphere are some of the focus areas of environmental science. Management of the influence of human societies on the environment is within the domain of environmental resource management. It takes into consideration all aspects of the biotic and abiotic environment, as well as relationships between living organisms and their habitats. This book contains some path-breaking studies in the field of environmental science and management. It presents researches and studies performed by experts across the globe. It will serve as a valuable source of reference for graduate and postgraduate students.
Author: Bernie Goldman Publisher: ISBN: 9781641161640 Category : Science Languages : en Pages : 216
Book Description
Environmental science is an interdisciplinary field that integrates physical, biological and information sciences to study the environment and develop solutions for environmental problems. The study of earth processes, natural resource management, pollution control and mitigation, alternative energy systems and effects of climate change are covered within this domain. The related areas of environmental studies and environmental engineering are significant to the understanding of the human relationship with the environment and for developing strategies for improving environmental quality. The study of the earth's atmosphere, ecology, crust and chemical alterations in the atmosphere are some of the focus areas of environmental science. Management of the influence of human societies on the environment is within the domain of environmental resource management. It takes into consideration all aspects of the biotic and abiotic environment, as well as relationships between living organisms and their habitats. This book contains some path-breaking studies in the field of environmental science and management. It presents researches and studies performed by experts across the globe. It will serve as a valuable source of reference for graduate and postgraduate students.
Author: Bryan F.J. Manly Publisher: CRC Press ISBN: 1439878129 Category : Mathematics Languages : en Pages : 312
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: Yue Rong Publisher: ILM Publications ISBN: 1906799040 Category : Mathematics Languages : en Pages : 310
Book Description
"Describes the application of statistical methods in different environmental fields, with an emphasis on how to solve real-world problems in complex systems"--Provided by publisher.
Author: Clemens Reimann Publisher: John Wiley & Sons ISBN: 1119965284 Category : Science Languages : en Pages : 380
Book Description
Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.
Author: Walter W. Piegorsch Publisher: John Wiley & Sons ISBN: 0470012226 Category : Mathematics Languages : en Pages : 512
Book Description
Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.
Author: Keith W. Hipel Publisher: Springer Science & Business Media ISBN: 9401730814 Category : Science Languages : en Pages : 461
Book Description
In this landmark set of papers, experts from around the world present the latest and most promising approaches to both the theory and practice of effective environmental management. To achieve sustainable development, organizations and individual citizens must comply with environmental laws and regulations. Accordingly, a major contribution of this book is the presentation of original techniques for designing effective environmental policies, regulations, inspection precedures and monitoring systems. Interesting methods for modelling risk and decision making problems are discussed from an environmental management perspective. Moreover, knowledge-based techniques for handling environmental problems are also investigated. Finally, the last main part of the book describes optimal approaches to reservoir operation and control that take into account appropriate multiple objectives. Audience The book is of direct interest to researchers, teachers, students and practitioners concerned with the latest developments in environmental management and sustainable development.
Author: Linfield C. Brown Publisher: CRC Press ISBN: 9781420056631 Category : Mathematics Languages : en Pages : 584
Book Description
Two critical questions arise when one is confronted with a new problem that involves the collection and analysis of data. How will the use of statistics help solve this problem? Which techniques should be used? Statistics for Environmental Engineers, Second Edition helps environmental science and engineering students answer these questions when the goal is to understand and design systems for environmental protection. The second edition of this bestseller is a solutions-oriented text that encourages students to view statistics as a problem-solving tool. Written in an easy-to-understand style, Statistics for Environmental Engineers, Second Edition consists of 54 short, "stand-alone" chapters. All chapters address a particular environmental problem or statistical technique and are written in a manner that permits each chapter to be studied independently and in any order. Chapters are organized around specific case studies, beginning with brief discussions of the appropriate methodologies, followed by analysis of the case study examples, and ending with comments on the strengths and weaknesses of the approaches. New to this edition: Thirteen new chapters dealing with topics such as experimental design, sizing experiments, tolerance and prediction intervals, time-series modeling and forecasting, transfer function models, weighted least squares, laboratory quality assurance, and specialized control charts Exercises for classroom use or self-study in each chapter Improved graphics Revisions to all chapters Whether the topic is displaying data, t-tests, mechanistic model building, nonlinear least squares, confidence intervals, regression, or experimental design, the context is always familiar to environmental scientists and engineers. Case studies are drawn from censored data, detection limits, regulatory standards, treatment plant performance, sampling and measurement errors, hazardous waste, and much more. This revision of a classic text serves as an ideal textbook for students and a valuable reference for any environmental professional working with numbers.
Author: Bryan F.J. Manly Publisher: CRC Press ISBN: 1420061488 Category : Mathematics Languages : en Pages : 312
Book Description
Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly’s ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development. The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few. Revised, updated or expanded material on: Data Quality Objectives Generalized Linear Models Spatial Data Analysis Censored Data Monte Carlo Risk Assessment There are numerous books on environmental statistics; however, while some focus on multivariate methods and others on the basic components of probability distributions and how they can be used for modeling phenomenon, most do not include the material on sampling and experimental design that this one does. It is the variety of coverage, not sacrificing too much depth for breadth, that sets this book apart.
Author: Wayne R. Ott Publisher: Routledge ISBN: 1351450085 Category : Mathematics Languages : en Pages : 336
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: Bernie Goldman
Author: Bernie Goldman
Author: Bryan F.J. Manly
Author: Yue Rong
Author: Clemens Reimann
Author: Walter W. Piegorsch
Author: Richard Webster
Author: Keith W. Hipel
Author: Linfield C. Brown
Author: Bryan F.J. Manly
Author: Wayne R. Ott