Abstract
Flood events are expected to increase in their frequency and severity, which results in higher flood risk without additional adaptation measures. The information gained from flood risk models is essential in effective disaster risk management. However, vulnerability estimations are often a large driver of uncertainty, and flood damage is rarely estimated due to a lack of empirical damage data from flood events. This study uses a unique data set with experienced damages and the implementation of flood damage mitigation (FDM) measures on the household level, collected after the flood event in the Netherlands in 2021. Flood damage models that control for several hazard, exposure, and vulnerability indicators are estimated and allow for additional input in flood risk models. Previous estimates of the effectiveness of FDM measures are prone to a selection bias, as households that do, and do not implement FDM measures systematically differ in their risk profiles. By using an instrumental variable-estimation, this study overcomes this selection bias and finds significant reductions in flood damage due to FDM measures. These reductions can be incorporated in multivariate flood vulnerability estimations, which indicate that FDM measures significantly reduce flood damage. Providing information on flood hazard, as well as implementing early warning systems, is crucial for ensuring effective flood risk management.
Original language | English |
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Article number | e2022WR034192 |
Pages (from-to) | 1-25 |
Number of pages | 25 |
Journal | Water Resources Research |
Volume | 59 |
Issue number | 8 |
DOIs | |
Publication status | Published - Aug 2023 |
Bibliographical note
Publisher Copyright:© 2023 The Authors.
Funding
This research was supported jointly by the Dutch Ministry of Infrastructure and Water Management, Strategic Research of Deltares and the REACHOUT project. The REACHOUT project has received funding from the European Union's Horizon 2020 research and innovation program under Grant 101036599.
Funders | Funder number |
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Dutch Ministry of Infrastructure and Water Management, Strategic Research of Deltares | |
European Union | 101036599 |
REACHOUT project |
Keywords
- IV-regression
- flood damage mitigation
- flood vulnerability
- household survey