This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

Decision analysis has become widely recognized as an important process for translating science into management actions. With climate change and other systemic threats as driving forces in creating environmental and engineering problems, there is a great need for understanding decision making frameworks through a case-study based approach. Management of environmental and engineering projects is often complicated and multidisciplinary in scope and nature, thus issues that arise can be difficult to solve analytically. Multi-Criteria Decision Analysis: Case Studies in Engineering and the Environment provides detailed description of MCDA methods and tools and illustrates their applications through case studies focused on sustainability and system engineering applications. New in the Second Edition: Addresses current and emerging environmental and engineering problems Includes seven new case studies to illustrate different management situations applicable at the international level Builds on real case studies from recent and relevant environmental and engineering management experience Describes advanced MCDA techniques and extensions used by practitioners Provides corresponding decision models implemented using the DECERNS software package Gives a more holistic approach to teaching MCDA methodology with a focus on sustainable solutions and adoption of new technologies, including nanotechnology and synthetic biology Given the novelty and inherent applicability of this decision-making framework to the environmental and engineering fields, a greater number of teaching tools for this topic need to be made available. This book provides those teaching tools, covering the breadth of the applications of MCDA methodologies with clear explanations of the MCDA process. The case studies are implemented in the DECERNS software package, allowing readers to experiment and explore and to understand the full process by which environmental managers assess these problems. This book is a great resource for professionals and students seeking to learn decision analysis techniques and apply similar frameworks to environmental and engineering projects

Access to reliable and affordable energy, water, and services is an important determinant of the prosperity of cities along with effective mission sustainment at military installations. The idea for this book was conceived at the NATO Advanced Research Workshop (ARW) in June 2012 in Hella, Iceland. The workshop was attended by 50 scientists, engineers, and policymakers representing 15 different nations and multiple fields of expertise, reflecting the global and interdisciplinary nature of climate change and sustainability research. The focus of the workshop was on ways in which military installations and small cities can integrate energy, water, and infrastructure sustainability strategies into city and installation management plans that account for climate change uncertainties. The organization of the book reflects major topic sessions and discussions during the workshop.

Environmental public health is an interdisciplinary approach to the study of the direct and indirect impact of exposure to environmental hazards on the public's health and wellbeing. Assessing and addressing the risks of chemical, ionising and non-ionising radiation, and noise hazards requires a sound knowledge of toxicology, environmental epidemiology, environmental science, health risk assessment, and public health principles. Essentials of Environmental Science for Public Health provides practical guidance on the technical aspects of environmental and public health investigations. Written by leaders in the field, the authors provide practical, expert advice on a range of topics from key concepts and framework for investigation to contaminated land and waste management. Case studies are used to aid learning and understand of the topics discussed. Produced by Health Protection England, Essentials of Environmental Science for Public Health offers a comprehensive and structured approach to understanding environmental public health issues and will be essential reading for all students and professionals in environmental public health.

Forest management has evolved from a mercantilist view to a multi-functional one that integrates economic, social, and ecological aspects. However, the issue of sustainability is not yet resolved. Quantitative Techniques in Participatory Forest Management brings together global research in three areas of application: inventory of the forest variables that determine the main environmental indices, description and design of new environmental indices, and the application of sustainability indices for regional implementations. All these quantitative techniques create the basis for the development of scientific methodologies of participatory sustainable forest management.

The Asia-Pacific region has been experiencing rapid development in the past 30 years, and issues relating to sustainable development will become increasingly important in the coming decades. This comprehensive overview presents sustainable development from the perspectives of Asia and the Pacific, with contributions from more than 70 leading international experts. The first part focuses on the theories and practices of sustainable development, including national and regional perspectives, as well as international policies and law concerning climate change. The second part highlights the challenges and opportunities of sustainable development and poverty reduction amid the changing ecological, social, cultural, economic, and political environment in this region. These include issues such as the importance of science for sustainable development and related areas, including sustainable energy, stratospheric ozone depletion, climate change, land-use change, biodiversity, and disaster risk reduction. The volume is an invaluable reference for all researchers and policy makers with an interest in sustainable development.

Risk, Surprises and Black Swans provides an in depth analysis of the risk concept with a focus on the critical link to knowledge; and the lack of knowledge, that risk and probability judgements are based on. Based on technical scientific research, this book presents a new perspective to help you understand how to assess and manage surprising, extreme events, known as ‘Black Swans’. This approach looks beyond the traditional probability-based principles to offer a broader insight into the important aspects of uncertain events and in doing so explores the ways to manage them. This book recognises the fundamental issues surrounding risk assessment and risk management to help you to understand and prepare for black swan events. Complete with international examples to illustrate ideas and concepts Integrates risk management and resilience based thinking Suitable for a variety of applications including engineering, finance and security.