Multivariate pluvial flood damage models

Ootegem, Luc Van; Verhofstadt, Elsy; Herck, Kristine Van; Creten, Tom

doi:10.1016/j.eiar.2015.05.005

Cited by 58 publications

(82 citation statements)

References 26 publications

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“…This led to the lowest average content damage even though flood characteristics were the most severe in all of the three subsets. In line with the results by Van Ootegem et al [13], it can be concluded that receiving an early warning in time and knowing how to respond to this warning can effectively reduce damage caused by pluvial floods. While in all three study areas severe weather warnings with lead times of several hours were released, only a minority of households actually received the warning.…”

Section: Discussionsupporting

confidence: 76%

Coping with Pluvial Floods by Private Households

Rözer

Müller

Bubeck

et al. 2016

Water

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Pluvial floods have caused severe damage to urban areas in recent years. With a projected increase in extreme precipitation as well as an ongoing urbanization, pluvial flood damage is expected to increase in the future. Therefore, further insights, especially on the adverse consequences of pluvial floods and their mitigation, are needed. To gain more knowledge, empirical damage data from three different pluvial flood events in Germany were collected through computer-aided telephone interviews. Pluvial flood awareness as well as flood experience were found to be low before the respective flood events. The level of private precaution increased considerably after all events, but is mainly focused on measures that are easy to implement. Lower inundation depths, smaller potential losses as compared with fluvial floods, as well as the fact that pluvial flooding may occur everywhere, are expected to cause a shift in damage mitigation from precaution to emergency response. However, an effective implementation of emergency measures was constrained by a low dissemination of early warnings in the study areas. Further improvements of early warning systems including dissemination as well as a rise in pluvial flood preparedness are important to reduce future pluvial flood damage.

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Section: Discussionsupporting

confidence: 76%

Coping with Pluvial Floods by Private Households

Rözer

Müller

Bubeck

et al. 2016

Water

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“…The assessment of flood damage usually relies on the application of stagedamage curves linking flood depth with the expected adverse consequences (Scawthorn et al, 2006;Van Ootegem et al, 2015;Aye et al, 2016). Flood consequences in case of tangible damages are expressed in terms of economic (Sterlacchini et al, 2016).…”

Section: Expected Annual Damage (Ead)mentioning

confidence: 99%

Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform

Arrighi

Rossi

Trasforini

et al. 2018

Journal of Environmental Management

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Flood risk mitigation usually requires a significant investment of public resources and cost-effectiveness should be ensured. The assessment of the benefits of hydraulic works requires the quantification of (i) flood risk in absence of measures,(ii) risk in presence of mitigation works, (iii) investments to achieve acceptable residual risk. In this work a building-scale is adopted to estimate direct tangible flood losses to several building classes (e.g. residential, industrial, commercial, However, the results show that although hydraulic works are cost-effective, a significant residual risk has to be managed and the achievement of the desired level of acceptable risk would require about 1 billion euros of investments.

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“…Based on their knowledge of flood risk, people can protect their properties better. In a study [36], this was found to reduce content damages by an average of 90% in the case of basement floods. According to Khakpour [37] and Botzen et al [38], a risk-based premium classification could motivate property owners to invest in measures adapting to flooding.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Flood Exposure for Properties in Urban Areas Using a Multivariate Modelling Technique

Torgersen

Rød

Kvaal

et al. 2017

Water

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Urban flooding caused by heavy rainfall is expected to increase in the future. The main purpose of this study was to investigate the variables characterizing the placement of a house, which seem to have an impact when it comes to the exposure to floods. From the same region in Norway, data from 347 addresses were derived. All addresses were either associated with insurance claims caused by flooding or were randomly selected. A multivariate statistical model, Partial Least Square Regression (PLS), was used. Among others, the analysis has shown that the upstream, sealed area is the most significant variable for characterizing properties' exposure to urban flooding. The model confirms that flooding tends to occur near old combined sewer mains and in concave curvature, and houses located in steep slopes seem to be less exposed. Using this method, it is possible to rank and quantify significant exposure variables contributing to urban floods within a region. Results from the PLS-analysis might provide important input to professionals, when planning and prioritizing measures. It can also predict flood-prone areas and make residents aware of the risks, which may induce them to implement preventive measures.

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Multivariate pluvial flood damage models

Cited by 58 publications

References 26 publications

Coping with Pluvial Floods by Private Households

Coping with Pluvial Floods by Private Households

Quantification of flood risk mitigation benefits: A building-scale damage assessment through the RASOR platform

Evaluating Flood Exposure for Properties in Urban Areas Using a Multivariate Modelling Technique

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