Fr. 189.00

Uncertainty and Environmental Decision Making - A Handbook of Research and Best Practices

English · Hardback

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Description

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The 21st century promises to be an era dominated by international response to c- tain global environmental challenges such as climate change, depleting biodiversity and biocapacity as well as general atmospheric, water and soil pollution problems. Consequently, Environmental decision making (EDM) is a socially important ?eld of development for Operations Research and Management Science (OR/MS). - certainty is an important feature of these decision problems and it intervenes at very different time and space scales. The Handbook on "Uncertainty and Environmental Decision Making" provides a guided tour of selected methods and tools that OR/MS offer to deal with these issues. Below, we brie?y introduce, peer reviewed, chapters of this handbook and the topics that are treated by the invited authors. The ?rst chapter is a general introduction to the challenges of environmental decision making, the use of OR/MS techniques and a range of tools that are used to deal with uncertainty in this domain.

List of contents

Introduction.- Uncertainty in integrated assessment models.- Parameter identification and calibration in complex earth system models.- Uncertainty and market based instruments for environmental management.- Viability theory vs robust control models.- Stochastic programming vs. stochastic control models.- Uncertainty, precautionary principle and equity.- Case studies.- Index.

Summary

The 21st century promises to be an era dominated by international response to c- tain global environmental challenges such as climate change, depleting biodiversity and biocapacity as well as general atmospheric, water and soil pollution problems. Consequently, Environmental decision making (EDM) is a socially important ?eld of development for Operations Research and Management Science (OR/MS). - certainty is an important feature of these decision problems and it intervenes at very different time and space scales. The Handbook on “Uncertainty and Environmental Decision Making” provides a guided tour of selected methods and tools that OR/MS offer to deal with these issues. Below, we brie?y introduce, peer reviewed, chapters of this handbook and the topics that are treated by the invited authors. The ?rst chapter is a general introduction to the challenges of environmental decision making, the use of OR/MS techniques and a range of tools that are used to deal with uncertainty in this domain.

Product details

Assisted by Jerz A Filar (Editor), Jerzy A Filar (Editor), Jerzy A Filar (Editor), Jerzy A. Filar (Editor), Haurie (Editor), Haurie (Editor), Alain Haurie (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 22.06.2009
 
EAN 9781441911285
ISBN 978-1-4419-1128-5
No. of pages 338
Dimensions 160 mm x 25 mm x 244 mm
Weight 678 g
Illustrations XIX, 338 p. 82 illus.
Series International Series in Operations Research & Management Science
International Series in Operations Research & Management Science
International Series in Operat
International Operations Resea
International Series in Operations Research Management Science
Subjects Natural sciences, medicine, IT, technology > Technology > Structural and environmental engineering
Non-fiction book > Nature, technology > Nature and society: general, reference works
Social sciences, law, business > Business > General, dictionaries

Operations Research, C, The environment, Environmental Economics, Earth and Environmental Science, Operations Research/Decision Theory, Operations Research and Decision Theory, Regional Studies, Political Economy, Environmental Management, Regional/Spatial Science, Regional and Spatial Economics, regional economics, Management decision making, Environmental management,, Environmental Sciences, Applied mathematics, Operational research, Decision Making, Spatial economics, Environmental Monitoring, Monitoring/Environmental Analysis, Mathematical Applications in Environmental Science, Math. Appl. in Environmental Science

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