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

被引:26
作者
Giupponi, Carlo [1 ,2 ,3 ]
Glove, Silvio [1 ,2 ,3 ]
Giannini, Valentina [1 ,2 ,3 ]
机构
[1] Univ Ca Foscari Venezia, Dipartimento Econ, I-30121 Venice, Italy
[2] Fdn Eni Enrico Mattei, Rome, Italy
[3] Ctr Euromediterraneo Cambiamenti Climatici, Climate Impacts & Policy Div, Rome, Italy
关键词
Vulnerability assessment; Participatory modelling; Multiple criteria; Flood; Climate change; WATER-RESOURCES; MANAGEMENT; FRAMEWORK; SUSTAINABILITY; ADAPTATION; SYSTEMS; OPERATORS; SUPPORT; MODELS;
D O I
10.1016/j.envsoft.2012.05.004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:136 / 147
页数:12
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