Adaptive flood risk management under climate change uncertainty using real options and optimisation

Woodward, M. and Kapelan, Z. and Gouldby, B.P. (2013) Adaptive flood risk management under climate change uncertainty using real options and optimisation. Journal of Risk Analysis.

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It is well recognised that adaptive and flexible flood risk strategies are required to account for future uncertainties. Development of such strategies is however, a challenge. Climate change alone is a significant complication but in addition complexities exist trying to identify the most appropriate set of mitigation measures, or interventions. There are a range of economic and environmental performance measures that require consideration and the spatial and temporal aspects of evaluating the performance of these is complex. All of these elements pose severe difficulties to decision makers. This paper describes a decision support methodology that has the capability to assess the most appropriate set of interventions to make in a flood system and the opportune time to make these interventions, given the future uncertainties. The flood risk strategies have been explicitly designed to allow for flexible adaptive measures by capturing the concepts of Real Options to evaluate potential flood risk management opportunities. A state of the art flood risk analysis tool is employed to evaluate the risk associated to each strategy over future points in time and a multi-objective genetic algorithm is utilised to search for the optimal adaptive strategies. The modelling system has been applied to a reach on the Thames Estuary (London, England), and initial results show the inclusion of flexibility is advantageous while the outputs provide decision makers with supplementary knowledge which previously has not been considered.

Item Type: Article
Uncontrolled Keywords: Decision tree analysis, economics, flood risk management, multiobjective optimisation, Real Options
Subjects: Floods > General
Divisions: Floods
Depositing User: Unnamed user with email
Date Deposited: 02 Apr 2020 09:50
Last Modified: 02 Apr 2020 09:50

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