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Jakeman, Anthony J.

Environmental Modelling, Software and Decision Support

State of the Art and New Perspective

Herausgeber: Jakeman, Anthony J.Voinov, Alexey A.Rizzoli, Andrea E.Chen, Serena H.
Verlag: Elsevier Science, Oxford
Reihentitel: Developments in integrated environmental assessment
Band: Band 3
Zusatzinfo: 387 Seiten.
ISBN13: 9780080915302
ISBN10: 0080915302
Erschienen: 11.09.2008
Medientyp: E-Book
Einbandart: ebook
Land: Niederlande
Sprache: Englisch
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The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field.* State-of-the-art in environmental modeling and software theory and practice for integrated assessment and management serves as a starting point for researchers * Identifies the areas of research and practice required for advancing the requisite knowledge base and tools, and their wider usage* Best practices of environmental modeling enables the reader to select appropriate software and gives the reader tools to integrate natural system dynamics with human dimensions
  • Front cover
  • Environmental Modelling, Software and Decision Support
  • Copyright page
  • Preface
  • Contents
  • Chapter 1. Modelling and Software as Instruments for Advancing Sustainability
  • 1.1 Introduction
  • 1.2 Aims of the Summit
  • 1.3 The Role of Modelling and Software
  • 1.4 Common Problems in Modelling
  • 1.5 Current State of the Art and Future Challenges in Modelling
  • 1.6 Conclusions
  • References
  • Chapter 2. Good Modelling Practice
  • 2.1 Introduction
  • 2.2 Key Components of Good Modelling Practice
  • 2.3 Model Transparency and Dissemination
  • 2.4 A Definition of Good Modelling Practice
  • 2.5 Progress Towards Good Modelling Practice
  • 2.6 Recommendations
  • References
  • Chapter 3. Bridging the Gaps Between Design and Use: Developing Tools to Support Environmental Management and Policy
  • 3.1 A Gap Between Design and Use?
  • 3.2 Decision and Information Support Tool Review
  • 3.3 Supporting Organisational Decision Making
  • 3.4 Supporting Participatory and Collaborative Decision Making
  • 3.5 The Nature and Extent of the Gap
  • 3.6 Good Practice Guidelines for Involving Users in Development
  • 3.7 Conclusions
  • Acknowledgements
  • References
  • Chapter 4. Complexity and Uncertainty: Rethinking the Modelling Activity
  • 4.1 Introduction
  • 4.2 Uncertainty: Causes and Manifestations
  • 4.3 A Conceptual Approach to Deal with Uncertainty and Complexity in Modelling
  • 4.4 Examples
  • 4.5 Conclusions
  • Acknowledgements
  • References
  • Chapter 5. Uncertainty in Environmental Decision Making: Issues, Challenges and Future Directions
  • 5.1 Introduction
  • 5.2 Environmental Decision-making Process
  • 5.3 Sources of Uncertainty
  • 5.4 Progress, Challenges and Future Directions
  • 5.5 Conclusions
  • References
  • Chapter 6. Environmental Policy Aid Under Uncertainty
  • 6.1 Introduction
  • 6.2 Factors Influencing Perceptions of Uncertainty
  • 6.3 Uncertainty in Decision Models
  • 6.4 Uncertainty in Practical Policy Making
  • 6.5 Reducing Uncertainty Through Innovative Policy Interventions
  • 6.6 Discussion and Conclusions
  • References
  • Chapter 7. Integrated Modelling Frameworks for Environmental Assessment and Decision Support
  • 7.1 Introduction
  • 7.2 A Generic Architecture for EIMFs
  • 7.3 Knowledge Representation and Management
  • 7.4 Model Engineering
  • 7.5 Driving and Supporting the Modelling Process
  • 7.6 Conclusions
  • References
  • Chapter 8. Intelligent Environmental Decision Support Systems
  • 8.1 Introduction
  • 8.2 Intelligent Environmental Decision Support Systems (IEDSS)
  • 8.3 About Uncertainty Management
  • 8.4 Temporal Reasoning
  • 8.5 Geographic Information and Spatial Reasoning
  • 8.6 Evaluation of IEDSS and Benchmarking
  • 8.7 Conclusions and Future Trends
  • References
  • Chapter 9. Formal Scenario Development for Environmental Impact Assessment Studies
  • 9.1 Introduction
  • 9.2 Terminology and Background
  • 9.3 A Formal Approach to Scenario Development
  • 9.4 Monitoring and Post-audits
  • 9.5 Discussions and Future Directions
  • Acknowledgements
  • References
  • Chapter 10. Free and Open Source Geospatial Tools for Environmental Modelling and Management
  • 10.1 Introduction
  • 10.2 Platform
  • 10.3 Software Stack
  • 10.4 Workflows for Environmental Modelling and Management
  • 10.5 Discussion
  • 10.6 Conclusion
  • Acknowledgements
  • References
  • Chapter 11. Modelling and Monitoring Environmental Outcomes in Adaptive Management
  • 11.1 Adaptive Management and Feedback Control
  • 11.2 Shared and Distinct Features of the Management and Control Problems
  • 11.3 Adaptivity
  • 11.4 Problems in Adaptive Management and Some Tools from Other Fields
  • 11.5 Open Challenges for Adaptive Management
  • 11.6 Conclusions Preceding the Workshop
  • Acknowledgements
  • Appendix A: Summary of Workshop Discussion
  • References
  • Chapter 12. Data Mining for Environmental Systems
  • 12.1 Introduction
  • 12.2 Data Mining Techniques
  • 12.3 Guidelines for Good Data Mining Practice
  • 12.4 Software - Existing and Under Development
  • 12.5 Conclusions and Challenges for Data Mining of Environmental Systems
  • Acknowledgement
  • References
  • Chapter 13. Generic Simulation Models for Facilitating Stakeholder Involvement in Water Resources Planning and Management: A Comparison, Evaluation, and Identification of Future Needs
  • 13.1 Introduction
  • 13.2 Model Characteristics and Comparisons
  • 13.3 Stakeholder Involvement
  • 13.4 Enhancing Non-expert Modelling Accessibility
  • 13.5 Reaching Out to Younger Generations
  • 13.6 The Current State of the Art - Results of Workshop Discussion
  • 13.7 Overall Conclusion
  • Acknowledgements
  • References
  • Chapter 14. Computational Air Quality Modelling
  • 14.1 Introduction
  • 14.2 The Purpose of Air Quality Modelling
  • 14.3 Urban Air Quality Information and Forecasting Systems
  • 14.4 Integrated Modelling
  • 14.5 Air Quality Modelling for Environment and Health Risk Assessments
  • 14.6 Air Quality Modelling as a Natural Part of Climate Change Modelling
  • 14.7 Scales of Processes/Models and Scale-interaction Aspects
  • 14.8 Chemical Schemes and Aerosol Treatment
  • 14.9 Real-time Air Quality Modelling
  • 14.10 Internet and Information Technologies for Air Quality Modelling
  • 14.11 Application Category Examples
  • References
  • Chapter 15. Identification, Resolution and Apportionment of Contamination Sources
  • 15.1 Introduction
  • 15.2 Data Sets
  • 15.3 Models and Methods
  • 15.4 Some Applications
  • 15.5 Conclusions
  • References
  • Chapter 16. Regional Models of Intermediate Complexity (REMICs) - A New Direction in Integrated Landscape Modelling
  • 16.1 Why Do We Need Better Models on a Landscape Scale?
  • 16.2 The Way Forward
  • 16.3 Landscape Models
  • 16.4 A Sample Modelling Tool
  • 16.5 Conclusions
  • References
  • Challenges in Earth System Modelling: Approaches and Applications
  • 16.7 Introduction
  • 16.8 Key Challenges (1)
  • 16.9 Key Challenges (2)
  • 16.10 Conclusions
  • References
  • Chapter 18. Uncertainty and Sensitivity Issues in Process-based Models of Carbon and Nitrogen Cycles in Terrestrial Ecosystems
  • 18.1 Introduction
  • 18.2 Uncertainty
  • 18.3 Model Validation
  • 18.4 Sensitivity Analysis
  • 18.5 Conclusions
  • Acknowledgements
  • References
  • Chapter 19. Model-Data Fusion in Studies of the Terrestrial Carbon Sink
  • 19.1 Introduction
  • 19.2 The Major Obstacles
  • 19.3 The Solutions
  • 19.4 The Way Forward
  • Acknowledgements
  • References
  • Chapter 20. Building a Community Modelling and Information Sharing Culture
  • 20.1 Introduction
  • 20.2 Open Source and Hacker Culture
  • 20.3 Knowledge Sharing and Intellectual Property Rights
  • 20.4 Software Development and Collaborative Research
  • 20.5 Open Source Software vs. Community Modelling
  • 20.6 Pros and Cons of Open-Source Modelling
  • 20.7 Open Data
  • 20.8 Teaching
  • 20.9 Conclusions and Recommendations
  • References
  • INDEX
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