Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Quantifying Environmental Impact Assessments Using Fuzzy Logic [electronic resource] /
Author Shepard, Richard B.
Publisher Springer New York,
Year Published 2005
Call Number GE1-350
ISBN 9780387280981
Subjects Life sciences. ; Regional planning. ; Applied Ecology. ; Environmental sciences. ; Environmental law.
Internet Access
Description Access URL
Collation XIX, 264 p. 42 illus. online resource.
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
The Traditional Approach -- General Principles -- Scoping -- Baseline Conditions -- Alternatives -- Impact Assessment -- Writing the Impact Statement -- The Modern Approach -- Moving to the New Paradigm -- to Fuzzy Sets and Logic -- Environmental Conditions -- Impact Inference and Assessment -- Multi-Objective, Multi-Criteria Decision-Making -- Application -- Scoping -- Baseline Environment -- Project Alternatives -- Results and Conclusions. Environmental impact assessments are required for a wide range of projects throughout the world. These assessments have increasingly involved complex, political decision-making and incorporated values and beliefs of both stakeholders and interested parties. However, the results are often ineffective because values and beliefs are not easily quantifiable, and decisions are considered subjective. This analysis recognizes these problems and proposes practical methods based on fuzzy logic that will enable people preparing assessments to define terms and quantify opinions and input so that they are agreed upon by all involved parties. Fuzzy logic also quantifies the complex environmental, economic and social conditions that are present and are predicted by project alternatives. The author places special emphasis on the types of issues that frequently arise in NEPA environmental assessments and environmental impact statements and in similar regulations that are used in jurisdictions regionally and internationally. The new methods are intended to reduce the time and cost of assessments, while producing justifiable and legally defensible results. First, issues related to current environmental impact assessment methods are discussed. Then the book discusses how lessons learned from computational intelligence can address these problems. It describes how a systematic, logical approach to environmental assessment can be applied to a variety of complex situations. Finally, the design and implementation of a more objective and powerful assessment is demonstrated through a worked example. Explanations of computational intelligence techniques and discussions of helpful software are intended to benefit those people actually preparing and using environmental assessments--in language that makes the process transparent and transferable to all types of systems.