[PDF] Environmental Science Methods eBook

Author : Robin Haynes
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 44,29 MB
Release : 2012-12-06
Category : Science
ISBN : 9400959338

GET BOOK

This book is an introduction to a range of methods and techniques used in the scientific study of the rocks, soils, atmosphere, waters and living organisms of the Earth, and of the relationships of these environmental factors with human activities. It is intended to provide a selection of methods for students taking university courses in geography, geology, meteorology, hydrology, soil science, ecology and other allied environmental sciences. The contributors are all members of the School of Environmental Sciences at the University of East Anglia, Norwich, UK, and the book has developed from part of our course for first year students. It reflects our belief that students of vast complex environmental systems should begin their work with a panoramic view, whatever their ultimate specialization. The emphasis is therefore on breadth of treatment and on the connections between the various sciences. We have summarized and simplified in order to supply a collection of methods that can be managed by a beginning student. We start from basic principles and do not assume that the reader already has a strong scientific background. Eleven chapters follow, each dealing with a group of closely related methods and techniques. They may be taken in any order, although there are many cross references which demonstrate that the subjects covered are not eleven isolated techniques but a web of related principles. The first three topics illustrate the point.

Author : Simon Watts
Publisher : Routledge
Page : 453 pages
File Size : 20,46 MB
Release : 2003-09-02
Category : Science
ISBN : 1134787677

GET BOOK

Essential Environmental Science brings together within a single volume the vast range of techniques, methods and basic tools necessary for the study of the environment. Environmental science has a massive area of operation, utilising the tools from a plethora of traditional sciences and social sciences. This practical manual draws on contributions from leading experts in each field, to present both general and specific environmental methods and techniques within a unique interdisciplinary environmental perspective. Essential Environmental Science offers an invaluable reference source for environmental study in both the laboratory and in the field.

Author : Matthias Ruth
Publisher :
Page : 0 pages
File Size : 31,92 MB
Release : 2015
Category : Environmental economics
ISBN : 9781783474639

GET BOOK

This volume presents methods to advance the understanding of interdependencies between the well-being of human societies and the performance of their biophysical environment. It showcases applications to material and energy use; urbanization and technological transition; economic growth and social vulnerabilities; development and governance of social and industrial networks; the role of history, culture, and science itself in carrying out analysis and guiding policy; as well as the role of theory, data, and models in guiding decisions.

Author : Mark Kanazawa
Publisher : Routledge
Page : 327 pages
File Size : 38,82 MB
Release : 2017-10-18
Category : Reference
ISBN : 1317191331

GET BOOK

The methodological needs of environmental studies are unique in the breadth of research questions that can be posed, calling for a textbook that covers a broad swath of approaches to conducting research with potentially many different kinds of evidence. Written specifically for social science-based research into the environment, this book covers the best-practice research methods most commonly used to study the environment and its connections to societal and economic activities and objectives. Over five key parts, Kanazawa introduces quantitative and qualitative approaches, mixed methods, and the special requirements of interdisciplinary research, emphasizing that methodological practice should be tailored to the specific needs of the project. Within these parts, detailed coverage is provided on key topics including the identification of a research project; spatial analysis; ethnography approaches; interview technique; and ethical issues in environmental research. Drawing on a variety of extended examples to encourage problem-based learning and fully addressing the challenges associated with interdisciplinary investigation, this book will be an essential resource for students embarking on courses exploring research methods in environmental studies.

Author : Jingzheng Ren
Publisher : Elsevier
Page : 446 pages
File Size : 40,29 MB
Release : 2021-08-05
Category : Science
ISBN : 012824240X

GET BOOK

Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization presents cutting edge, detailed methodologies needed to create sustainable growth in any field or industry, including life cycle assessments, building design, and energy systems. The book utilized a systematic structured approach to each of the methodologies described in an interdisciplinary way to ensure the methodologies are applicable in the real world, including case studies to demonstrate the methods. The chapters are written by a global team of authors in a variety of sustainability related fields. Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization will provide academics, researchers and practitioners in sustainability, especially environmental science and environmental engineering, with the most recent methodologies needed to maintain a sustainable future. It is also a necessary read for postgraduates in sustainability, as well as academics and researchers in energy and chemical engineering who need to ensure their industrial methodologies are sustainable. Provides a comprehensive overview of the most recent methodologies in sustainability assessment, prioritization, improvement, design and optimization Sections are organized in a systematic and logical way to clearly present the most recent methodologies for sustainability and the chapters utilize an interdisciplinary approach that covers all considerations of sustainability Includes detailed case studies demonstrating the efficacies of the described methods

Author : Sue Ellen Haupt
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 27,32 MB
Release : 2008-11-28
Category : Science
ISBN : 1402091192

GET BOOK

How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Author : William W. Hsieh
Publisher : Cambridge University Press
Page : 364 pages
File Size : 35,2 MB
Release : 2009-07-30
Category : Computers
ISBN : 0521791928

GET BOOK

A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.

Author : Richard Chandler
Publisher : John Wiley & Sons
Page : 348 pages
File Size : 43,4 MB
Release : 2011-03-25
Category : Mathematics
ISBN : 111999196X

GET BOOK

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.

Author : D.R. Helsel
Publisher : Elsevier
Page : 539 pages
File Size : 40,93 MB
Release : 1993-03-03
Category : Science
ISBN : 0080875084

GET BOOK

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.