TY - JOUR
T1 - Sea-level rise, ENSO, and coastal flood exposure in Hainan Island
T2 - Insights from Delft3D modeling for urban adaptation
AU - Hu, Taihuan
AU - Chen, Shenliang
AU - Zhong, Xiaojing
AU - Sang, Wenxiu
AU - Li, Peng
N1 - Publisher Copyright:
© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/
PY - 2025/12
Y1 - 2025/12
N2 - Study region: Hainan Island, located in the northern South China Sea, represents a rapidly urbanizing tropical island. Study focus: This study develops a coupled Delft3D hydrodynamic–morphodynamic (Flow–Sed–Mor) model to quantify flood inundation under projected sea-level rise (SLR) and ENSO-driven sea-level anomalies. The model is forced by the SSP3–7.0 scenario, corresponding to an estimated 1.1 m SLR by 2100, to evaluate multi-hazard flood exposure across Hainan’s coastal zones and assess the amplification effects of ENSO-related variability. New hydrological insights for the region: Model findings show that the western and northern lowlands experience an inundation expansion exceeding 40 % under the 1.1 m SLR scenario, while reef-fringed eastern coasts exhibit limited permanent flooding, highlighting the importance of geomorphological controls on flood resilience. La Niña phases lead to transient sea-level rises up to 15 cm in the South China Sea with a lag of approximately six months, intensifying flood risks during astronomical high tides. Enhanced nearshore hydrodynamics under SLR increase suspended sediment concentrations by 2–3 times, accelerating shoreline retreat in soft-sediment western coasts. Exposure analysis indicates that industrial zones face up to fourfold higher asset risk compared to urban centers. A Coastal Urban Defense Model is proposed, integrating hard infrastructure, ecosystem-based solutions (mangroves, reefs), and adaptive zoning to enhance resilience under accelerating climate-driven SLR. These results emphasize the necessity of incorporating ENSO-driven variability and long-term SLR into flood management frameworks to enhance climate resilience in tropical coastal regions.
AB - Study region: Hainan Island, located in the northern South China Sea, represents a rapidly urbanizing tropical island. Study focus: This study develops a coupled Delft3D hydrodynamic–morphodynamic (Flow–Sed–Mor) model to quantify flood inundation under projected sea-level rise (SLR) and ENSO-driven sea-level anomalies. The model is forced by the SSP3–7.0 scenario, corresponding to an estimated 1.1 m SLR by 2100, to evaluate multi-hazard flood exposure across Hainan’s coastal zones and assess the amplification effects of ENSO-related variability. New hydrological insights for the region: Model findings show that the western and northern lowlands experience an inundation expansion exceeding 40 % under the 1.1 m SLR scenario, while reef-fringed eastern coasts exhibit limited permanent flooding, highlighting the importance of geomorphological controls on flood resilience. La Niña phases lead to transient sea-level rises up to 15 cm in the South China Sea with a lag of approximately six months, intensifying flood risks during astronomical high tides. Enhanced nearshore hydrodynamics under SLR increase suspended sediment concentrations by 2–3 times, accelerating shoreline retreat in soft-sediment western coasts. Exposure analysis indicates that industrial zones face up to fourfold higher asset risk compared to urban centers. A Coastal Urban Defense Model is proposed, integrating hard infrastructure, ecosystem-based solutions (mangroves, reefs), and adaptive zoning to enhance resilience under accelerating climate-driven SLR. These results emphasize the necessity of incorporating ENSO-driven variability and long-term SLR into flood management frameworks to enhance climate resilience in tropical coastal regions.
KW - Coastal adaptation
KW - Coastal flood exposure
KW - Coastal flooding hazard
KW - ENSO-driven sea level change
KW - Sea level rise
UR - https://www.scopus.com/pages/publications/105021109072
U2 - 10.1016/j.ejrh.2025.102871
DO - 10.1016/j.ejrh.2025.102871
M3 - 文章
AN - SCOPUS:105021109072
SN - 2214-5818
VL - 62
JO - Journal of Hydrology: Regional Studies
JF - Journal of Hydrology: Regional Studies
ER -