Abstract
In Europe, floods are among the natural catastrophes that cause the largest economic damage. This article explores the potential of two distinct types of multivariate flood damage models: ‘depth-damage’ models and ‘rainfall-damage’ models. We use survey data of 346 Flemish households that were victim of pluvial floods complemented with rainfall data from both rain gauges and weather radars. In the econometrical analysis, a Tobit estimation technique is used to deal with the issue of zero damage observations. The results show that in the ‘depth-damage’ models flood depth has a significant impact on the damage. In the ‘rainfall-damage’ models there is a significant impact of rainfall accumulation on the damage when using the gauge rainfall data as predictor, but not when using the radar rainfall data. Finally, non-hazard indicators are found to be important for explaining pluvial flood damage in both ‘depth-damage’ and ‘rainfall-damage’ models.
Original language | English |
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Journal | Journal of Flood Risk Management |
Volume | 11 |
Issue number | 52 |
Pages (from-to) | S916-S929 |
ISSN | 1753-318X |
DOIs | |
Publication status | Published - 1 Feb 2018 |
Externally published | Yes |
Keywords
- Depth-damage
- flood damage models
- non-hazard indicators
- pluvial flood
- rainfall-damage