Applying Socioeconomic Optimisation on Blue-Green Climate Adaptation Projects in an Urban Catchment

Steffen Davidsen, Thomas Kruse, Trine Munk, Karsten Arnbjerg-Nielsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Climate adaptation projects are often conducted without assessing the socioeconomic losses or benefits associated with the project. Methods for conducting socioeconomic assessments and optimisations have been proposed in various articles, but these methods often include more simulations than what is feasible for the common climate adaptation project. Identifying the optimum service or protection level for climate adaptation is important to avoid over or under investments, to understand the residual risks, and for informed decision-making and communication. This study develops a methodology for socioeconomic optimisation and applies it to the Kildeskovsrenden catchment in Gentofte, Denmark. The methodology requires many simulations to optimise the return period for climate adaptation. This study aims to reduce the number of simulations by defining the acceptable water level on terrain in collaboration with stakeholders. The return period combined with an acceptable water level on terrain constitutes the dimensioning criteria for the climate adaptation projects. Three return periods of 20, 50 and 100 years in year 2100 make up the optimisation exercise of identifying the optimum service level. Following its application, a set of recommendations are developed to accompany the optimisation and strengthen the methodology, including the use of the risk density curve during initial assessment of the catchment. Although the optimisation is built on a reduced amount of simulations, the methodology still requires large resources for modelling and assessments of investment and damage costs.
    Original languageEnglish
    Title of host publicationUDM 2018: New Trends in Urban Drainage Modelling
    EditorsGiorgio Mannina
    Number of pages6
    PublisherSpringer
    Publication date2018
    Pages976-981
    ISBN (Print)978-3-319-99866-4
    ISBN (Electronic)978-3-319-99867-1
    DOIs
    Publication statusPublished - 2018
    Event11th International Conference on Urban Drainage Modelling - Palermo, Italy
    Duration: 23 Sept 201826 Sept 2018

    Conference

    Conference11th International Conference on Urban Drainage Modelling
    Country/TerritoryItaly
    CityPalermo
    Period23/09/201826/09/2018
    SeriesGreen Energy and Technology
    ISSN1865-3529

    Keywords

    • Socioeconomic
    • Optimisation
    • Climate adaptation

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