Date of this Version
Recent studies show climate-induced sea-level rise (SLR) will accelerate storm surge impacts in many coastal areas around the world. The decision-making of building-level adaptation strategies is a challenging task due to uncertain climate impacts. This study evaluates building-level adaptation strategies through a dynamic programming-based cost-benefit analysis approach to incorporate the latest information of SLR in adaptation decision-making. The adaptation outcomes are estimated by applying a Monte-Carlo method with stochastic flood damage of buildings under four SLR projections. Based on a case study in Bay County, Florida (USA), results indicate that single-family and multi-family buildings are the most vulnerable buildings in Bay County. Mobile homes have a lower flood risk, while they are more sensitive to SLR. The long-term flood damage shows SLR could exponentially increase the average annual flood damage in the community from $17.7 million to $204 million. Investing in adaptive measures can substantially mitigate building-level flood risk, where the adapted average annual damage ranges from $9.57 million to $38.2 million in the county. The proposed adaptation method could facilitate more effective risk communications between the public and private sectors and improvise community adaptation planning under uncertain SLR.
Han, Yu and Mozumder, Pallab, "Building-level adaptation analysis under uncertain sea-level rise" (2021). All Faculty. 490.