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DOE OSTI2016

Well-being, life satisfaction and capabilities of flood disaster victims

The individual well-being of flood disaster victims is examined making use of two concepts: life satisfaction and perceived capabilities in life. These concepts are compared in two samples: a representative sample of Flemish respondents and a specific sample of people that have been the victim of a pluvial flood. Well-being as life satisfaction is found not to be related to past or expected future flooding, whereas well-being as capabilities in life is negatively related to both past and expected future flooding. - Highlights: • Well-being as life satisfaction is not related to past or expected future flooding. • Well-being as capabilities in life is negatively related to flooding. • A disaster can scare people for the future because of the scars that it provokes. • Assess the impact of a disaster not only by monetary damage and life satisfaction.

54 ENVIRONMENTAL SCIENCES↗

DOE OSTI2015

Multivariate pluvial flood damage models

Depth–damage-functions, relating the monetary flood damage to the depth of the inundation, are commonly used in the case of fluvial floods (floods caused by a river overflowing). We construct four multivariate damage models for pluvial floods (caused by extreme rainfall) by differentiating on the one hand between ground floor floods and basement floods and on the other hand between damage to residential buildings and damage to housing contents. We do not only take into account the effect of flood-depth on damage, but also incorporate the effects of non-hazard indicators (building characteristics, behavioural indicators and socio-economic variables). By using a Tobit-estimation technique on identified victims of pluvial floods in Flanders (Belgium), we take into account the effect of cases of reported zero damage. Our results show that the flood depth is an important predictor of damage, but with a diverging impact between ground floor floods and basement floods. Also non-hazard indicators are important. For example being aware of the risk just before the water enters the building reduces content damage considerably, underlining the importance of warning systems and policy in this case of pluvial floods. - Highlights: • Prediction of damage of pluvial floods using also non-hazard information • We include ‘no damage cases’ using a Tobit model. • The damage of flood depth is stronger for ground floor than for basement floods. • Non-hazard indicators are especially important for content damage. • Potential gain of policies that increase awareness of flood risks.

54 ENVIRONMENTAL SCIENCES↗