TY - JOUR
T1 - Numerical modelling of the 1 July 2022 flooding event, Southwest Huvadhoo Atoll, Maldives
T2 - Implications for the future
AU - Masselink, Gerd
AU - Poate, Tim
AU - Scott, Timothy
AU - Roelvink, Floortje
AU - McCall, Robert
N1 - Publisher Copyright:
© 2025 Cambridge University Press. All rights reserved.
PY - 2025/10/13
Y1 - 2025/10/13
N2 - Low-lying atoll islands are among the world's most vulnerable coastal environments to sea-level rise (SLR). Global application of coastal flooding models suggests that centennial flood events may become annual events by 2050 in tropical regions. This article addresses this claim by modelling an island flooding event that occurred in the Maldives on 1 July 2022 as a result of a distant-swell event coinciding with an extra high spring tide. Hydrodynamic data collected after the event on one of the affected islands were used to calibrate and validate a one-dimensional non-hydrostatic XBeach model. The model overpredicted wave setup and underpredicted the water motion at frequencies <0.05 Hz, but the wave run-up elevation was predicted reasonably well. The 1 July flood event was considered in a decadal context using modelled wave data and measured tide data. It was concluded that the 1 July event represents a c. 1:25-year flooding event, but, due to SLR, such flooding could occur every few years by 2050. This prediction ignores natural or anthropogenic adjustments to the island morphology. The expected increase in frequency of coastal flooding in the Maldives requires atoll and island authorities in the Maldives to act swiftly in adapting to future flood risk.
AB - Low-lying atoll islands are among the world's most vulnerable coastal environments to sea-level rise (SLR). Global application of coastal flooding models suggests that centennial flood events may become annual events by 2050 in tropical regions. This article addresses this claim by modelling an island flooding event that occurred in the Maldives on 1 July 2022 as a result of a distant-swell event coinciding with an extra high spring tide. Hydrodynamic data collected after the event on one of the affected islands were used to calibrate and validate a one-dimensional non-hydrostatic XBeach model. The model overpredicted wave setup and underpredicted the water motion at frequencies <0.05 Hz, but the wave run-up elevation was predicted reasonably well. The 1 July flood event was considered in a decadal context using modelled wave data and measured tide data. It was concluded that the 1 July event represents a c. 1:25-year flooding event, but, due to SLR, such flooding could occur every few years by 2050. This prediction ignores natural or anthropogenic adjustments to the island morphology. The expected increase in frequency of coastal flooding in the Maldives requires atoll and island authorities in the Maldives to act swiftly in adapting to future flood risk.
KW - numerical modelling
KW - coastal risk
KW - coastal flooding
KW - coastal geomorphology
KW - coastal morphodynamics
UR - https://www.scopus.com/pages/publications/105019108919
UR - https://pearl.plymouth.ac.uk/bms-research/2277/
U2 - 10.1017/cft.2025.10013
DO - 10.1017/cft.2025.10013
M3 - Article
AN - SCOPUS:105019108919
SN - 2754-7205
VL - 3
JO - Cambridge Prisms: Coastal Futures
JF - Cambridge Prisms: Coastal Futures
IS - e23
M1 - e23
ER -