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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.
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
A graduate textbook that provides a unified treatment of machine learning methods and their applications in the environmental sciences.
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.
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.
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.
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.
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.
The relationship between human communities and the environment is extremely complex. In order to resolve the issues involved with this relationship, interdisciplinary research combining natural sciences, social sciences, and humanities is necessary. Here, specialists summarise methods and research strategies for various aspects of social research devoted to environmental issues. Each chapter is illustrated with ethnographic and environmental examples, ranging from Australia to Amazonia, from Madagascar to the United States, and from prehistoric and historic cases to contemporary rural and urban ones. It deals with climate change, deforestation, environmental knowledge, natural reserves, politics and ownership of natural resources, and the effect of differing spatial and temporal scales. Contributing to the intellectual project of interdisciplinary environmental social science, this book shows the possibilities social science can provide to environmental studies and to larger global problems and thus will be of equal interest to social and natural scientists and policy makers.
This book is a review and description of the state-of-the-art methods of tree-ring analy~is with specific emphasis on applications in the environmental sciences. Traditionally, methods of tree-ring analysis, or more properly in this case methods 0/ dendrochronology, were developed and used for dating archaeological and historical structures and for reconstructing past climates. The classic book Tree Rings and Climate, by H.C. Fritts, published in 1976, provided a superb introduction to the science and an in-depth description of techniques useful for extracting climatic information from tree rings. This book, which was published by Academic Press, is sadly out of print and, even though only 12 years old, lim ited in its methods and applications. This is owing to the extremely rapid development of the science since the 1970s. Only recently have tree rings as environmental sensors been fully recog nized as a valuable tool in detecting environmental change. For example, tree ring measurements have been critically important in studies of forest decline in Europe and North America. There are also attempts to use tree-ring analysis for ecological prognosis to solve large-scale regional problems including the sustain ability of water supplies, prediction of agricultural crops, and adoption of silvi cultural measures in response to ecological changes. More speculatively, dendro chronological methods are also used for dating and evaluating some astrophysical phenomena and for indicating possible increase in the biospheric carrying capac ity due to increased atmospheric carbon dioxide.