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Flood Risk Assessment and Management : How to Specify Hydrological Loads, Their Consequences and Uncertainties

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Cover of 'Flood Risk Assessment and Management : How to Specify Hydrological Loads, Their Consequences and Uncertainties'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction – Hydrological Aspects of Risk Management
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    Chapter 2 Uncertainties in Weather Forecast – Reasons and Handling
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    Chapter 3 Interpolation of Precipitation for Flood Modelling
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    Chapter 4 Framing Uncertainties in Flood Forecasting with Ensembles
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    Chapter 5 Design of Artificial Neural Networks for Flood Forecasting
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    Chapter 6 Advances in Regionalising Flood Probabilities
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    Chapter 7 Rainfall Generators for Application in Flood Studies
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    Chapter 8 Copulas – New Risk Assessment Methodology for Dam Safety
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    Chapter 9 Hydraulic Modelling
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    Chapter 10 Groundwater – The Subterranean Part of Flood Risk
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    Chapter 11 Quantification of Socio-Economic Flood Risks
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    Chapter 12 Application of Scenarios and Multi-Criteria Decision Making Tools in Flood Polder Planning
Attention for Chapter 9: Hydraulic Modelling
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Citations

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33 Dimensions

Readers on

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35 Mendeley
Summary Dimensions citations
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Chapter title
Hydraulic Modelling
Chapter number 9
Book title
Flood Risk Assessment and Management
Published by
Springer, Dordrecht, January 2011
DOI 10.1007/978-90-481-9917-4_9
Book ISBNs
978-9-04-819916-7, 978-9-04-819917-4
Authors

Mark Musall, Peter Oberle, Franz Nestmann, Musall, Mark, Oberle, Peter, Nestmann, Franz

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 26%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Student > Postgraduate 2 6%
Professor > Associate Professor 2 6%
Other 5 14%
Unknown 9 26%
Readers by discipline Count As %
Engineering 19 54%
Environmental Science 3 9%
Earth and Planetary Sciences 2 6%
Unknown 11 31%

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