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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
Attention for Chapter 9: Predictive uncertainty assessment in real time flood forecasting
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Citations

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Chapter title
Predictive uncertainty assessment in real time flood forecasting
Chapter number 9
Book title
Uncertainties in Environmental Modelling and Consequences for Policy Making
Published by
Springer, Dordrecht, January 2009
DOI 10.1007/978-90-481-2636-1_9
Book ISBNs
978-9-04-812635-4, 978-9-04-812636-1
Authors

Ezio Todini

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 6%
Belgium 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 42%
Student > Master 8 22%
Researcher 4 11%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Other 3 8%
Unknown 2 6%
Readers by discipline Count As %
Engineering 20 56%
Earth and Planetary Sciences 7 19%
Environmental Science 4 11%
Decision Sciences 1 3%
Agricultural and Biological Sciences 1 3%
Other 0 0%
Unknown 3 8%