Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process

Flood Hazard Mapping: Uncertainty and its Value in the Decision-making Process

by Micah Mukungu Mukolwe

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Product Details

ISBN-13: 9781138032866
Publisher: Taylor & Francis
Publication date: 12/27/2016
Series: IHE Delft PhD Thesis Series
Pages: 148
Product dimensions: 6.68(w) x 9.43(h) x (d)

About the Author

Micah M. Mukolwe is a trained civil engineer with interests in civil infrastructure design, implementation, project planning and management, and the effect (and mitigation) of natural hazards on floodplain receptors using hydroinformatics tools.

Table of Contents

Chapter 1 Introduction

1.1 Background and Motivation
1.2 Research objectives
1.3 Methodology
1.4 Outline of the thesis

Chapter 2 A review of flood inundation modelling
2.1 Introduction
2.2 Flood modelling
2.3 Numerical modelling of floods
2.3.1 Governing flow equations
2.3.2 HEC-RAS and LISFLOOD-FP Models
2.3.3 Why LISFLOOD-FP?
2.4 Conclusions

Chapter 3 Case studies and data availability
3.1 Introduction
3.2 Case study areas
3.2.1 River Ubaye, Ubaye Valle (Barcelonnette)
3.2.2 River Po, Italy
3.3 Topographic data
3.3.1 Model geometry input
3.3.2 Topographic data sources
3.4 Parametric data
3.4.1 Model parameters
3.4.2 Inflow discharge
3.5 Conclusions

Chapter 4 Uncertainty in Flood Modelling
4.1 Introduction
4.2 Uncertainty analysis
4.2.1 Introduction
4.2.2 Methods
4.3 Inflow uncertainty
4.3.1 Rating curve uncertainty
4.3.2 Peak discharge uncertainty
4.4 Model structure
4.5 Communication of Model Uncertainty
4.5.1 Flood Mapping
4.5.2 Probabilistic flood mapping
4.6 Conclusions

Chapter 5 Flood hazard maps and damage
5.1 Introduction
5.2 Flood impact analysis, Ubaye Valley, Barcelonnette
5.2.1 Preliminary analysis
5.2.2 Regional Risk Assessment (RRA)
5.2.3 Economic - Regional Risk Assessment (E-RRA)
5.2.4 Flood damages
5.3 Uncertainty in flood damage assessment
5.4 Conclusion

Chapter 6 Usefulness of Probabilistic flood hazard maps
6.1 Introduction
6.2 Value Of Information (VOI)
6.2.1 Introduction
6.2.2 Application VOI to Ubaye valley (Barcelonnette)
6.3 Prospect Theory
6.3.1 Introduction
6.3.2 Making a decision
6.3.3 Prospect theory application to Ubaye valley (Barcelonnette)
6.3.4 Numerical example
6.3.5 Implementation of prospect theory for Ubaye valley case study
6.4 Conclusion

Chapter 7 Conclusions and recommendations
7.1 Introduction
7.2 Summary of results
7.2.1 Uncertainty in flood modelling: Chapter 2 - Chapter 4
7.2.2 Usefulness of uncertain information: Chapter 5 and Chapter 6
7.3 Limitations of the study
7.4 Conclusions
7.5 Recommendations

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