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Models in Environmental Regulatory Decision Making

Status: Available Now

Size: 286 pages, 6 x 9

Publication Year:2007

Print	List Price	Your Price

PAPERBACK ISBN-10: 0-309-11000-9 ISBN-13: 978-0-309-11000-6	$59.25	$53.33	Add to Cart

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A free PDF download of an errata page to Models in Environmental Regulatory Decision Making is available from our website. The direct URL is: http://books.nap.edu/html/11972/models_errata.pdf.

Authors:
Committee on Models in the Regulatory Decision Process, National Research Council
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Description:
Many regulations issued by the U.S. Environmental Protection Agency (EPA) are based on the results of computer models. Models help EPA explain environmental phenomena in settings where direct observations are limited or unavailable, and anticipate the effects of agency policies ...
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Table of Contents
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Front Matter	i-xviii
Summary	1-17	(skim)
1 Study Background	18-39	(skim)
2 Model Use in the Environmental Regulatory Decision Process	40-82	(skim)
3 Model Development	83-103	(skim)
4 Model Evaluation	104-169	(skim)
5 Model Selection and Use	170-189	(skim)
6 Future Modeling Issues	190-198	(skim)
Epilogue	199-200	(skim)
References	201-225	(skim)
Glossary	226-238	(skim)
Appendix A Biographical Information on the Committee on Models in the Regulatory Decision Process	239-243	(skim)
Appendix B Public Workshop Presentations to the Committee on Models in the Regulatory Decision Process	244-248	(skim)
Appendix C Categories of Environmental Regulatory Models	249-268	(skim)

Description

Many regulations issued by the U.S. Environmental Protection Agency (EPA) are based on the results of computer models. Models help EPA explain environmental phenomena in settings where direct observations are limited or unavailable, and anticipate the effects of agency policies on the environment, human health and the economy. Given the critical role played by models, the EPA asked the National Research Council to assess scientific issues related to the agency's selection and use of models in its decisions. The book recommends a series of guidelines and principles for improving agency models and decision-making processes. The centerpiece of the book's recommended vision is a life-cycle approach to model evaluation which includes peer review, corroboration of results, and other activities. This will enhance the agency's ability to respond to requirements from a 2001 law on information quality and improve policy development and implementation.

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