This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.
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Abstract
Coastal settlements, facing increasing flood risk from Tropical Cyclones (TCs) under climate change, need local and detailed climate information for effective adaptation. Analysis of historical events and their impacts provides such information. This study uses storylines to evaluate adaptation strategies, focusing on Cyclone Idai’s impact on Beira, Mozambique, under different climate conditions and tidal cycles. A storyline of Idai under 3°C warming increases flood impacts by 1.8 times, while aligning Idai with spring tides amplifies these by 21 times. Combining both conditions increases impacts beyond 37 times. An adaptation strategy combining flood protection and accommodation measures reduces impacts by maximum 83\%, while a seawall strategy reduces these by 10\%. By offering localised, detailed information, storylines can be used to measure the effectiveness of adaptation strategies against extreme events, evaluating their robustness across different scenarios, and quantifying residual impacts, complementing traditional climate risk assessments for informed decision making.
DOI
https://doi.org/10.31223/X53413
Subjects
Atmospheric Sciences, Climate, Earth Sciences, Environmental Engineering, Environmental Sciences, Hydraulic Engineering, Hydrology, Meteorology, Natural Resources Management and Policy, Water Resource Management
Keywords
storylines, coastal adaptation, decision making, coastal flooding, Compound Events, tropical cyclones, climate change, coastal adaptation, decision making, coastal flooding, compound events, tropical cyclones, climate change
Dates
Published: 2024-06-11 02:00
Last Updated: 2024-06-20 13:52
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License
CC-BY Attribution-NonCommercial 4.0 International
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Data Availability (Reason not available):
The code and data generated for this experiment is available at: \url{https://github.com/dumontgoulart/storylines_for_adaptation}. SFINCS is available at \url{https://sfincs.readthedocs.io} and HydroMT is available at \url{https://deltares.github.io/hydromt/}. Delft-FIAT is available at \url{https: //github.com/Deltares/Delft-FIAT}.Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Henrique M. D. Goulart (henrique.goulart@deltares.nl).
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