A dynamic assessment tool for exploring and communicating vulnerability to floods and climate change

  • Authors:
  • Carlo Giupponi;Silvio Giove;Valentina Giannini

  • Affiliations:
  • Universití Ca' Foscari di Venezia - Dipartimento di Economia, S. Giobbe 873, 30121 Venezia VE, Italy and Fondazione Eni Enrico Mattei and Centro Euro-Mediterraneo sui Cambiamenti Climatici - ...;Universití Ca' Foscari di Venezia - Dipartimento di Economia, S. Giobbe 873, 30121 Venezia VE, Italy and Fondazione Eni Enrico Mattei and Centro Euro-Mediterraneo sui Cambiamenti Climatici - ...;Universití Ca' Foscari di Venezia - Dipartimento di Economia, S. Giobbe 873, 30121 Venezia VE, Italy and Fondazione Eni Enrico Mattei and Centro Euro-Mediterraneo sui Cambiamenti Climatici - ...

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2013

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Abstract

In this article we propose an innovative approach to support a participatory modelling process for the exploratory assessment of vulnerability within the broad context of climate change adaptation. The approach provides a simplified dynamic vulnerability model developed within a conceptual model adopted - but very rarely made operational - by many international organisations such as the Intergovernmental Panel for Climate Change, the European Union. We propose a procedure in which disciplinary experts and local actors interact for the identification of the most relevant issues with reference to a specific vulnerability problem. Local actors (e.g. representatives of public administrations, business, NGOs) identify the most relevant issues related to the various dimensions of vulnerability, to be considered as input variables to contextualise the generalised model in the study case. Quantitative indicators are provided by disciplinary experts to describe past and future trends of variables, and their trajectories are combined to explore possible future vulnerability trends and scenarios. A non additive aggregation operator is proposed to allow experts and actors to pro vide their preferences through ad hoc questionnaires, thus overcoming the oversimplifications of most of the current vulnerability indices, which are usually either additive (fully compensatory) or multiplicative (non compensatory), and providing transparent and robust management of subjectivity and analysis of the deriving variability and uncertainty in model outputs. Input data for the demonstration of the model derive from the European Project Brahmatwinn, with reference to the Assam State in India.