Optimal life-cycle adaptation of coastal infrastructure under climate change.

ABSTRACT: Climate change-related risk mitigation is typically addressed using cost-benefit analysis that evaluates mitigation strategies against a wide range of simulated scenarios and identifies a static policy to be implemented, without considering future observations. Due to the substantial uncertainties inherent in climate projections, this identified policy will likely be sub-optimal with respect to the actual climate trajectory that evolves in time. In this work, we thus formulate climate risk management as a dynamic decision-making problem based on Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), taking real-time data into account for evaluating the evolving conditions and related model uncertainties, in order to select the best possible life-cycle actions in time, wit

SUBMITTER: Bhattacharya A 

PROVIDER: S-EPMC11772846 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature