Environmental Modelling and Software

State of the Art and New Perspective

By: Serena Chen, Andrea Emilio Rizzoli, Alexey Voinov, Tony Jakeman

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Hardcover | 1 October 2008 | Edition Number 1

At a Glance

Hardcover
384 Pages

Dimensions(cm)
24.13 x 16.51 x 2.54

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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

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You Can Find This Book In

Non-Fiction Engineering & Technology Environmental Science Earth Sciences, Geography, Environment, Planning The Environment Applied Ecology Science Biology, Life Sciences Life Sciences in General Ecological Science Society & Culture Social Groups

Preface
Modelling and Software as Instruments for Advancing Sustainability
Summary
Introduction
Aims of the Summit
The role of modelling and software
Common problems in modelling
Current state of the art and future challenges in modelling
Generic issues
Sectoral issues
Conclusions References
Good Modelling Practice
Summary
Introduction
Key components of good modelling practice
Model purpose
Model evaluation
Performance measures
Stating and testing model assumptions
Ongoing model testing and evaluation
Model transparency and dissemination
Terminology
Reporting
Model dissemination
A definition of good modelling practice
Progress towards good modelling practice
Recommendations
References.
Bridging the Gaps between Design and Use: Developing Tools to Support Environmental Management and Policy
Summary
A gap between design and use?
Decision and information support tool review
Supporting organisational decision making
Supporting participatory and collaborative decision making
The nature and extent of the gap
Good practice guidelines for involving users in development





Conclusions
References
Complexity and Uncertainty: Rethinking the Modelling Activity
Summary
Introduction
Uncertainty: causes and manifestations
Causes of uncertainty
Manifestation of uncertainty
A conceptual approach to deal with uncertainty and complexity in modelling
Prediction
Exploratory analysis
Communication
Learning
Examples
Prediction: model use in the development of the US clean air mercury rule
Exploratory analysis: microeconomic modelling of land use change in a coastal zone area
Communication: modelling water quality at different scales and different levels of complexity
Learning: modelling for strategic river planning in the Maas, the Netherlands
Conclusions
Models for prediction purposes
Models for exploratory purposes
Models for communication purposes
Models for learning purposes
References
Uncertainty in Environmental Decision Making: Issues, Challenges and Future Directions
Summary
Introduction
Environmental Decision-Making Process
Sources of Uncertainty
Progress, Challenges and Future Directions
Risk-based assessment criteria
Uncertainty in human input
Computational efficiency
Integrated software frameworks for decision making under uncertainty
Conclusions
References
Environmental Policy Aid under Uncertainty
Summary
Introduction
Factors influencing perceptions of uncertainty
Uncertainty in decision models
Uncertainty in practical policy making
Reducing uncertainty through innovative policy interventions
Discussion and conclusions
References
Integrated Modelling Frameworks for Environmental Assessment and Decision Support
Summary
Introduction
A first definition
Why do we develop new frameworks?
A more insightful definition
A generic architecture for EIMFs

Knowledge representation and management
Challenges for knowledge-based environmental modelling
Model Engineering
Component-based modelling
Distributed modelling
Driving and supporting the modelling process
The experimental frame
Conclusions
References
I
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Environmental Modelling and Software

State of the Art and New Perspective

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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