Filar / Haurie Uncertainty and Environmental Decision Making

A Handbook of Research and Best Practice
1. Auflage 2009
ISBN: 978-1-4419-1129-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 338 Seiten, Web PDF

Reihe: Earth and Environmental Science (R0)

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.

Zielgruppe

Research

Autoren/Hrsg.

Filar, Jerzy A.

Haurie, Alain

Inhaltsverzeichnis

OR/MS and Environmental Decision Making under Uncertainty.- Modeling Uncertainty in a Large scale integrated Energy-Climate Model.- Robust Optimization for Environmental and Energy Planning.- Coping with Climate Risks in Indonesian Rice Agriculture: A Policy Perspective.- A Primer on Weather Derivatives.- Optimal Control Models and Elicitation of Attitudes towards Climate Damages.- A Stochastic Control/Game Approach to the Optimal Timing of Climate Policies.- Precautionary Effect and Variations of the Value of Information.- Comparative Forecasting and a Test for Persistence in the El Ni#x00F1;o Southern Oscillation.- Generation of Synthetic Sequences of Electricity Demand with Applications.- Models for Improving Management of Biosolids Odors.