8 research outputs found
Enhancement of urban pluvial flood risk management and resilience through collaborative modelling: a UK case study
This paper presents the main findings and lessons learned from the development and implementation of a new methodology for collaborative modelling, social learning and social acceptance of flood risk management technologies. The proposed methodology entails three main phases: (1) stakeholder analysis and engagement; (2) improvement of urban pluvial flood modelling and forecasting tools; and (3) development and implementation of web-based tools for collaborative modelling in flood risk management and knowledge sharing. The developed methodology and tools were tested in the Cranbrook catchment (London Borough of Redbridge, UK), an area that has experienced severe pluvial (surface) flooding in the past. The developed methodologies proved to be useful for promoting interaction between stakeholders, developing collaborative modelling and achieving social acceptance of new technologies for flood risk management. Some limitations for stakeholder engagement were identified and are discussed in the present paper
Participatory flood vulnerability assessment: a multi-criteria approach
This paper presents a participatory multi-criteria decision-making (MCDM)
approach for flood vulnerability assessment while considering the
relationships between vulnerability criteria. The applicability of the
proposed framework is demonstrated in the municipalities of Lajeado and
Estrela, Brazil. The model was co-constructed by 101 experts from
governmental organizations, universities, research institutes, NGOs, and
private companies. Participatory methods such as the Delphi survey, focus
groups, and workshops were applied. AÂ participatory problem structuration, in
which the modellers work closely with end users, was used to establish the
structure of the vulnerability index. The preferences of each participant
regarding the criteria importance were spatially modelled through the
analytical hierarchy process (AHP) and analytical network process (ANP)
multi-criteria methods. Experts were also involved at the end of the
modelling exercise for validation. The final product is a set of individual
and group flood vulnerability maps. Both AHP and ANP proved to be effective
for flood vulnerability assessment; however, ANP is preferred as it considers
the dependences among criteria. The participatory approach enabled experts
to learn from each other and acknowledge different perspectives towards
social learning. The findings highlight that to enhance the credibility and
deployment of model results, multiple viewpoints should be integrated without
forcing consensus
Methodology to explore emergent behaviours of the interactions between water resources and ecosystem under a pluralistic approach
Understanding the interactions between water resources
and its social dimensions is crucial for an effective and sustainable water
management. The identification of sensitive control variables and feedback
loops of a specific human-hydro-scape can enhance the knowledge about the
potential factors and/or agents leading to the current water resources and
ecosystems situation, which in turn supports the decision-making process of
desirable futures. Our study presents the utility of a system dynamics
modeling approach for water management and decision-making for the case of a
forest ecosystem under risk of wildfires. We use the pluralistic water
research concept to explore different scenarios and simulate the emergent
behaviour of water interception and net precipitation after a wildfire in a
forest ecosystem. Through a case study, we illustrate the applicability of
this new methodology
Collaborative modelling for active involvement of stakeholders in urban flood risk management
This paper presents an approach to enhance the role of local stakeholders in dealing with urban floods. The concept is based on the DIANE-CM project (Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk) of the 2nd ERANET CRUE funding initiative. The main objective of the project was to develop and test an advanced methodology for enhancing the resilience of local communities to flooding. Through collaborative modelling, a social learning process was initiated that enhances the social capacity of the stakeholders due to the interaction process. The other aim of the project was to better understand how data from hazard and vulnerability analyses and improved maps, as well as from the near real-time flood prediction, can be used to initiate a public dialogue (i.e. collaborative mapping and planning activities) in order to carry out more informed and shared decision-making processes and to enhance flood risk awareness. The concept of collaborative modelling was applied in two case studies: (1) the Cranbrook catchment in the UK, with focus on pluvial flooding; and (2) the Alster catchment in Germany, with focus on fluvial flooding. As a result of the interactive and social learning process, supported by sociotechnical instruments, an understanding of flood risk was developed amongst the stakeholders and alternatives for flood risk management for the respective case study area were jointly developed and ranked as a basis for further planning and management
How to Model Stakeholder Participation for Flood Management
Stakeholders participation for Flood Risk Management is a key factor for the improvement of policy and decision’s quality of and to create consensus. Nowadays there are many studies on this topic aimed to take into consideration the involvement of stakeholders in different phases of the process and with the use of different procedures. In Italy the situation seems to be critical compared to the international panorama, since there are no regulation or protocols to prevent disaster or repair the damage. The paper proposes a critical overview of methodologies able to engage stakeholders in decision-making process with a detail on case studies focused on the Flood Risk Management. Different aspects will be investigated and compared in order to outline considerations and possible conclusions