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Uncertainties in Environmental Modelling and Consequences for Policy Making

  • Conference proceedings
  • © 2009

Overview

  • Systematic coverage of a crucial aspect of environmental modelling
  • Effectively provides a bridge between scientists and policy makers
  • Theoretical background illustrated by topical case studies

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Table of contents (17 papers)

  1. Model Conceptualization

  2. Verification Of Models

  3. Calibration and Sensitivity Analysis

  4. Evaluation Of Models

  5. Communicating Modelling Results And Uncertainties

  6. Decision Making On The Basis Of Model Prediction

  7. Global Climate Change

  8. Natural Attenuation of Contaminants and Risk Assessment

Keywords

About this book

Mathematical modelling has become in recent years an essential tool for the prediction of environmental change and for the development of sustainable policies. Yet, many of the uncertainties associated with modelling efforts appear poorly understood by many, especially by policy makers. This book attempts for the first time to cover the full range of issues related to model uncertainties, from the subjectivity of setting up a conceptual model of a given system, all the way to communicating the nature of model uncertainties to non-scientists and accounting for model uncertainties in policy decisions. Theoretical chapters, providing background information on specific steps in the modelling process and in the adoption of models by end-users, are complemented by illustrative case studies dealing with soils and global climate change. All the chapters are authored by recognized experts in their respective disciplines, and provide a timely and uniquely comprehensive coverage of an important field.

Editors and Affiliations

  • SIMBIOS Centre, Abertay University, Dundee, U.K.

    Philippe C. Baveye

  • School of Civil and Environmental Engineering, Cornell University, Ithaca, U.S.A.

    Magdeline Laba

  • Foundation Eni Enrico Mattei, Venice, Italy

    Jaroslav Mysiak

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