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Uncertainties in Environmental Modelling and Consequences for Policy Making

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Cover of 'Uncertainties in Environmental Modelling and Consequences for Policy Making'

Table of Contents

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    Book Overview
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    Chapter 1 Spatially explicit versus lumped models in catchment hydrology – experiences from two case studies
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    Chapter 2 Cellular automata modeling of environmental systems
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    Chapter 3 Agent-based modeling of socio-economic processes related to the environment: Example of land-use change
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    Chapter 4 Interval analysis and verification of mathematical models
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    Chapter 5 Stochastic arithmetic and verification of mathematical models
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    Chapter 6 Model calibration/parameter estimation techniques and conceptual model error
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    Chapter 7 User subjectivity in Monte Carlo modelling of pesticide exposure
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    Chapter 8 Recommended practices in global sensitivity analysis
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    Chapter 9 Predictive uncertainty assessment in real time flood forecasting
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    Chapter 10 Communicating uncertainty to policy makers
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    Chapter 11 Communicating scientific uncertainty for decision making about CO2 storage
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    Chapter 12 Approaches to handling uncertainty when setting environmental exposure standards
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    Chapter 13 Sources of uncertainty in global modelling of future soil organic carbon storage
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    Chapter 14 Uncertainties related to the temperature sensitivity of soil carbon decomposition
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    Chapter 15 Media representational practices in the Anthropocene Era
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    Chapter 16 The stern review and the uncertainties in the economics of climate change
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    Chapter 17 Phytotechnologies: how plants and bacteria work together
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Title
Uncertainties in Environmental Modelling and Consequences for Policy Making
Published by
Springer, Dordrecht, January 2009
DOI 10.1007/978-90-481-2636-1
ISBNs
978-9-04-812635-4, 978-9-04-812636-1
Authors

Baveye, Philippe C, Laba, Magdeline, Mysiak, Jaroslav, SALTELLI Andrea, VIDONI Daniele, MASCHERINI Massimiliano, SALTELLI, Andrea, VIDONI, Daniele, MASCHERINI, Massimiliano

Editors

Philippe C. Baveye, Magdeline Laba, Jaroslav Mysiak

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Professor 1 25%
Unknown 1 25%
Readers by discipline Count As %
Social Sciences 1 25%
Engineering 1 25%
Unknown 2 50%