Prioritizing climatic change adaptation investment at local government levels

Supriya Mathew, Ann Henderson-Sellers, Ros Taplin

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    3 Citations (Scopus)

    Abstract

    The Intergovernmental Panel on Climate Change (IPCC (2007), "Climate change 2007: impacts, adaptation and vulnerability, Working Group II contribution to the fourth assessment report of the intergovernmental panel on climate change, Cambridge University Press, Cambridge, UK) describes warming of the climate system as "unequivocal". In future, global warming will influence the frequency and severity of extreme events and in response, local councils around the world must take adaptive measures. In this paper we focus on an investment tool that relates adaptation strategies to climatic extremes for the local government jurisdiction, Ku-ring-gai Council, Australia. The impacts of climatic extremes cannot be solely viewed in terms of economic losses, but should also be considered with regard to their social and environmental implications. Bayesian inference, a method usually used in operational risk analysis is used to assess the economic cost and benefit of adaptation options. The use of this method helps in accounting for the uncertainties and absence of observations for extreme events. Economic modelling is done with selected discount rates considering the economic constraints of local councils. Social and environmental ranks for adaptation options are obtained by drawing ideas from the Delphi approach that elicits expert opinion and tries to obtain consensus in a number of iterative steps. Through this paper we introduce a method to obtain a prioritized set of adaptation options for local scale climate extreme events.
    Original languageEnglish
    Title of host publicationThe Economic, social and political elements of climate change
    EditorsWalter Leal Filho
    Place of PublicationBerlin ; New York
    PublisherSpringer, Springer Nature
    Pages733-751
    Number of pages19
    ISBN (Print)9783642147753
    DOIs
    Publication statusPublished - 2011
    EventOnline Climate Change Conference (2nd : 2009) - Hamburg, Germany
    Duration: 2 Nov 20096 Nov 2009

    Publication series

    NameClimate change management
    PublisherSpringer-Verlag
    ISSN (Print)1610-2010

    Conference

    ConferenceOnline Climate Change Conference (2nd : 2009)
    CityHamburg, Germany
    Period2/11/096/11/09

    Keywords

    • Adaptation
    • Bayesian inference
    • Borda counts
    • Climate change
    • Delphi method
    • Local scale
    • Options
    • Prioritization
    • Ranking

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