Ebook: Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice
- Tags: Environmental Monitoring/Analysis, Operations Research/Decision Theory, Math. Appl. in Environmental Science, Environmental Management, Regional/Spatial Science, Environmental Economics
- Series: International Series in Operations Research & Management Science 138
- Year: 2010
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems.
This important new work will be of special interest to a wide range of researchers, students, and practitioners in environmental economics, OR/MS, environmental and earth sciences, climatologists, and risk assessment.
Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems.
This important new work will be of special interest to a wide range of researchers, students, and practitioners in environmental economics, OR/MS, environmental and earth sciences, climatologists, and risk assessment.
Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems.
This important new work will be of special interest to a wide range of researchers, students, and practitioners in environmental economics, OR/MS, environmental and earth sciences, climatologists, and risk assessment.
Content:
Front Matter....Pages i-xix
OR/MS and Environmental Decision Making under Uncertainty....Pages 1-49
Modeling Uncertainty in a Large scale integrated Energy-Climate Model....Pages 51-77
Robust Optimization for Environmental and Energy Planning....Pages 79-126
Coping with Climate Risks in Indonesian Rice Agriculture: A Policy Perspective....Pages 127-153
A Primer on Weather Derivatives....Pages 155-175
Optimal Control Models and Elicitation of Attitudes towards Climate Damages....Pages 177-209
A Stochastic Control/Game Approach to the Optimal Timing of Climate Policies....Pages 211-237
Precautionary Effect and Variations of the Value of Information....Pages 239-253
Comparative Forecasting and a Test for Persistence in the El Ni?o Southern Oscillation....Pages 255-273
Generation of Synthetic Sequences of Electricity Demand with Applications....Pages 275-314
Models for Improving Management of Biosolids Odors....Pages 315-334
Back Matter....Pages 335-338
Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice presents the state of the art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. Drawing on leading researchers in the field, it provides a guided tour of selected methods and tools to help deal with issues as climate change, depleting biodiversity and biocapacity, and more general atmospheric, water and soil pollution problems. Individual peer-reviewed chapters look at applying stochastic reasoning on difficult issues arising in EDM under uncertainty; applying stochastic or robust programming methods to techno-economic modeling of energy/environment interactions; important consequences of uncertainty inherent in weather patterns, the El Nino phenomenon and anticipated climate change; exploiting tools of decision analysis, utility theory and optimal control theory to account for differences in time scales between human development processes and the natural processes of the biosphere; and methods that combine statistical and decision analyses that can support a variety of environmental management problems.
This important new work will be of special interest to a wide range of researchers, students, and practitioners in environmental economics, OR/MS, environmental and earth sciences, climatologists, and risk assessment.
Content:
Front Matter....Pages i-xix
OR/MS and Environmental Decision Making under Uncertainty....Pages 1-49
Modeling Uncertainty in a Large scale integrated Energy-Climate Model....Pages 51-77
Robust Optimization for Environmental and Energy Planning....Pages 79-126
Coping with Climate Risks in Indonesian Rice Agriculture: A Policy Perspective....Pages 127-153
A Primer on Weather Derivatives....Pages 155-175
Optimal Control Models and Elicitation of Attitudes towards Climate Damages....Pages 177-209
A Stochastic Control/Game Approach to the Optimal Timing of Climate Policies....Pages 211-237
Precautionary Effect and Variations of the Value of Information....Pages 239-253
Comparative Forecasting and a Test for Persistence in the El Ni?o Southern Oscillation....Pages 255-273
Generation of Synthetic Sequences of Electricity Demand with Applications....Pages 275-314
Models for Improving Management of Biosolids Odors....Pages 315-334
Back Matter....Pages 335-338
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