Assessing damage cost estimation of urban pluvial flood risk as a mean of improving climate change adaptations investments

Anders Skovgård Olsen, Qianqian Zhou, Jens Jørgen Linde, Karsten Arnbjerg-Nielsen

    Research output: Contribution to conferencePaperResearchpeer-review

    Abstract

    Estimating the expected annual damage (EAD) due to flooding in an urban area is of great interest for urban water managers and other stakeholders. It is a strong indicator for a given area showing how it will be affected by climate change and how much can be gained by implementing adaptation measures. This study investigates three different methods for estimating the EAD based on a loglinear relation between the damage costs and the return periods, one of which has been used in previous studies.
    The results show with the increased amount of data points there appears to be a shift in the log-linear relation which could be contributed by the Danish design standards for drainage systems. Three different methods for estimating the EAD were tested and the choice of method is less important than accounting for the log-linear shift. This then also means that the statistical approximation of the EAD used in previous studies appears to be valid and is a good assumption. The EAD estimation can be simplified by having a single unit cost per flooded area which is multiplied with the extent of the flood. It does however depend on the lower threshold chosen in the estimation of the flood extent.
    Original languageEnglish
    Publication date2013
    Number of pages12
    Publication statusPublished - 2013
    Event2013 International Conference on Flood Resilience: Experiences in Asia and Europe - Exeter, United Kingdom
    Duration: 5 Sept 20137 Sept 2013

    Conference

    Conference2013 International Conference on Flood Resilience: Experiences in Asia and Europe
    Country/TerritoryUnited Kingdom
    CityExeter
    Period05/09/201307/09/2013

    Fingerprint

    Dive into the research topics of 'Assessing damage cost estimation of urban pluvial flood risk as a mean of improving climate change adaptations investments'. Together they form a unique fingerprint.

    Cite this