This study develops an integrated coastal risk assessment framework to quantify future shoreline vulnerability along the eastern coast of the Korean Peninsula by combining long term sea level rise (SLR) driven retreat, wave climate induced deformati...
This study develops an integrated coastal risk assessment framework to quantify future shoreline vulnerability along the eastern coast of the Korean Peninsula by combining long term sea level rise (SLR) driven retreat, wave climate induced deformation, and short term storm erosion. Future wave climate projections (2075–2099) indicate systematic intensification of mean and extreme significant wave heights, accompanied by directional concentration of energetic waves. These wave height changes increase offshore wave energy flux and amplify event scale erosion, leading to greater short term retreat (DSLP) and substantial shifts in the deformation based CHA and Damage Curves. In contrast, SLR under SSP2-4.5 and SSP5-8.5 produces a persistent long term landward translation of the shoreline, elevating baseline erosion exposure through profile adjustment processes. The distinction between these two drivers demonstrates that wave height intensification primarily governs high frequency hazard escalation, whereas SLR dictates the cumulative background retreat that elevates all risk categories simultaneously. The CHA Curve and Damage Risk Curve reveal strong spatial contrasts across the ten study beaches. The largest projected increases are observed at Chilpo (CHA: 29.6 to 47.4 m; Risk: 12.4 to 27.1 m²), Jeongja (24.4 to 48 m; 6.6 to 21.9 m²), and Wonpyeong (31.6 to 44 m; 10.3 to 28 m²), where combined SLR driven retreat and wave height intensification produce pronounced nonlinear amplification of exposure. Sites such as Hujeong and Deungmyeong also exhibit substantial growth in CHA under SSP5-8.5, reflecting high sensitivity to future storm events. Under the high emission scenario, nearly all beaches transition into higher risk classes, indicating the critical dependence of late century hazards on wave climate intensification and accelerated SLR. Coastline positions extracted using CoastSAT allowed quantitative validation of short term erosion estimates derived from the Duration Limited Shoreline Position (DSLP) model. Error statistics show strong agreement between satellite derived shoreline variability and modeled erosion at most study sites (±2–3 m), confirming the physical consistency of DSLP for reflective microtidal environments such as the eastern Korean coast. This framework provides a transferable methodology for climate informed shoreline management and supports targeted adaptation in highly vulnerable sections of the Korean coastline.