Comparative Environmental Risk Assessment

What data is needed to complete a quantitative risk assessment for environmental and public health? How accurate does a quantitative risk assessment have to be? How confident does a risk assessor need to be when presenting risk estimates to a decision maker? Find out the answers to these questions and more with Comparative Environmental Risk Assessment, the first major commercial publication that describes the current state of the art in comparative environmental risk assessment. This book examines the problems involved in such analyses and offers ideas and thoughts for future development. The book examines major problems in this area and covers all aspects of the environment, including human and ecological health. Comparative Environmental Risk Assessment is an excellent guide for risk assessment experts, environmentalists, regulators, planners, legislators, scientists in industry, instructors, and students.

Decision making in environmental projects is typically a complex and confusing process characterized by trade-offs between socio-political, environmental, and economic impacts. Comparative Risk Assessment (CRA) is a methodology applied to facilitate decision making when various activities compete for limited resources. CRA has become an increasingly accepted research tool and has helped to characterize environmental profiles and priorities on the regional and national level. CRA may be considered as part of the more general but as yet quite academic field of multi-criteria decision analysis (MCDA). Considerable research in the area of MCDA has made available methods for applying scientific decision theoretical approaches to multi-criteria problems, but its applications, especially in environmental areas, are still limited. The papers show that the use of comparative risk assessment can provide the scientific basis for environmentally sound and cost-efficient policies, strategies, and solutions to our environmental challenges.

Environmental Impact Assessment (EIA) has become a vital management tool worldwide. EIA is a means of evaluating the likely consequences of a proposed major action which will significantly affect the environment, before that action is taken.This new edition of Wood's key text provides an authoritative, international review of environmental impact assessment, comparing systems used in the UK, USA, the Netherlands, Canada, the Commonwealth of Australia and New Zealand and South Africa.

Revised version of a background paper presented by the author to the Workshop on Comparative Risk Assessment of Environmental Hazards in an International Context, held at Woods Hole, Mass., March 31-April 4, 1975. Includes index. Bibliography: p. 101-107.

A unique introduction to the nature, procedures, current practice and future development of environmental impact assessment (EIA), combining both theoretical and procedural aspects of the subject.

History has shown how powerful societies decline when natural resources are unable to be replenished. This book explores the challenges facing coastal areas during in the near future. It emphasizes beliefs that the convergence of seemingly disparate viewpoints and uncertain and limited information is possible only by using available risk assessment methodologies and decision-making tools such as multi-criteria decision analysis (MCDA).

Process and input-output analysis have emerged as the two principal methods of analyzing health risks of energy technologies. This book describes applications and differences between these two methods with discussions of sources or error and uncertainty, data limitations and some solutions to common problems. Its goals are to provide understanding of the strengths and weaknesses of the methods and to provide a basis for standardizing risk assessment for energy policy analysis. Sections of the book describe risk analysis and develop issues common to both the process and input-output methods, describe data bases and their limitations, discuss use of environmental models for generating environmental information not available in data bases, describe applications of the methods in case studies, and discuss the state-of-the-art of the two models and opportunities for combining them to take advantage of their relative strengths and weaknesses.