Due to factors such as climate change, there is considerable uncertainty in the future development of flood patterns. When planning flood protection infrastructure, this uncertainty needs to be accounted for. The thesis categorizes and quantifies relevant uncertainties and presents a quantitative Bayesian framework that recommends protection decisions, which are cost-optimal yet provide sufficient protection, taking into account the uncertainty. The developed method is generalizable and enables conceptual conclusions pertaining to long-term planning under large uncertainty.
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Due to factors such as climate change, there is considerable uncertainty in the future development of flood patterns. When planning flood protection infrastructure, this uncertainty needs to be accounted for. The thesis categorizes and quantifies relevant uncertainties and presents a quantitative Bayesian framework that recommends protection decisions, which are cost-optimal yet provide sufficient protection, taking into account the uncertainty. The developed method is generalizable and enables...
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