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Title: The benefits of non-structural responses to flood risk
Author: Clarke, Joseph W.
ISNI:       0000 0004 5918 1838
Awarding Body: University of Bristol
Current Institution: University of Bristol
Date of Award: 2015
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Recent economic conditions and reduced funding, combined with the threat of climate change, mean that more innovative ways of protecting people and property from the impacts of flooding are needed, with current guidance seeking 'portfolios' of responses to flood risk. This thesis explores the evolving flood risk management system and the role of non-structural approaches to reducing risk by developing a conceptual model that incorporates a broad range of structural and non-structural responses, the linkages between them and the way they contribute to managing flood risk. The model enables coherent conversations about components of the flood risk management system with a joint understanding of how different options interact, to allow better decision-making and more effective communication of those decisions and the reasons behind them. Activities with no direct benefit play a vital role in this system by enabling or increasing the effectiveness of other responses. One such activity, the visualisation of flood risk, is explored through the development of a flood incident management visualisation tool. Using the model, high- level methodologies are developed to quantify the benefits of property-level responses (including resistance and resilience measures and the movement of possessions) and of Flood Incident Management enabling asset operation. These generic approaches are applied to specific national and local case studies, which identify scale-appropriate methods for deriving input data. These methods and the wider context that the conceptual model provides provide a useful step towards a consistent approach to quantifying the benefits of non-structural responses in a way that allows future work to build on that foundation.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available