The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model

In this paper, empirical data are used to estimate the parameters of a sociohydrological flood risk model. The proposed model, which describes the interactions between floods, settlement density, awareness, preparedness, and flood loss, is based on the literature. Data for the case study of Dresden,...

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Bibliographic Details
Published in:Water resources research 2019-02, Vol.55 (2), p.1312-1336
Main Authors: Barendrecht, M. H., Viglione, A., Kreibich, H., Merz, B., Vorogushyn, S., Blöschl, G.
Format: Article
Language:English
Subjects:
Atmospheric Processes
Bayesian analysis
Bayesian theory
Behavior
Case studies
Data
Data processing
Economic models
Empirical analysis
Environmental risk
Estimation
Extreme Events
Flood risk
Floods
Germany
Human Impact
Human Impacts
Hydrology
Hypotheses
Informatics
Interactions
Levees & battures
Mathematical Geophysics
Mathematical models
Model Calibration
Modeling
Modelling
Natural Hazards
Parameter estimation
Parameters
Persistence, Memory, Correlations, Clustering
Physical Modeling
Policy Sciences
Preparedness and Planning
Probability theory
Regional Planning
risk
Risk management
Sensitivity analysis
Statistical analysis
Statistical analysis of data
Statistical inference
Statistical methods
System dynamics
Uncertainty analysis
water
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