Jul 2026· Frontiers in Marine Science· 0 citations· 63 references
Abstract
Coastal zones are increasingly exposed to climate change and rapid urbanization, yet the geomorphological stability of tropical, mud-dominated coastlines remains poorly understood. This study evaluates multi-decadal shoreline dynamics along a 250 km corridor of the Selangor coastline, Peninsular Malaysia, from 1990 to 2020. Using seven multi-temporal, sensor-homogenized Landsat datasets, baseline change metrics were computed via the Digital Shoreline Analysis System (DSAS v5.1). Historical shoreline shifts were quantified using the End Point Rate (EPR) and Linear Regression Rate (LRR) metrics to construct a process-based Geomorphological Stability Index (GSI). These historical vectors were coupled with IPCC AR6 sea-level rise anomalies to simulate scenario-based exposure projections for the 2030, 2040, and 2050 horizons. Baseline results revealed severe localized erosion hotspots exceeding -75 m/yr near the highly engineered Port Klang complex. The EPR network yielded a net erosional tendency of -0.15 m/yr, whereas the LRR model revealed a marginal net accretionary trend of +0.30 m/yr. The GSI framework classified 53.19% of the transects as highly stable/accreting (Rank 5) and 32.92% as severely eroding (Rank 1). Validation against an independent hazard inventory demonstrated a framework sensitivity of 100.0%. Scenario-based projections reveal intensifying erosive trends by 2050, accelerating mean EPR erosion to -5.14 m/yr and destabilizing up to 49% of the shoreline footprint. The findings provide actionable screening data to guide climate adaptation strategies.
Satellite-derived shorelines (SDS) reconstruct storm-scale beach change, but their accuracy degrades on macrotidal coasts. The prevailing storm-response and recovery framework, moreover, was built on microtidal, swell-dominated coasts. We combine CoastSat multi-mission shorelines (Sentinel-2, Landsat 7–9, 2015–2026) wi...
Qualitative and quantitative estimation of coastal susceptibility is crucial for risk management, especially for coastal landscapes prone to sea-level rise and increasing human pressure. Geomorphological-based indices, utilizing physical variables like shoreline change and spatial extent of dune ridges, represent a con...
G. Corrado, D. Gioia, A. Amodio et al.· Rendiconti Online della Soci...· 0 citations
Sea level rise (SLR) is a direct and measurable impact of climate variability, posing substantial risks to coastal ecosystems. This study employes NOAA’s Sea Level Rise Viewer to evaluate potential ecological change under four SLR scenarios (1, 2, 4, and 6 ft) within the Manokin Watershed, Somerset County, Maryland. Th...
Yeong Nain Chi, T. Bishop, Catherine Ngo· International Journal of Eng...· 0 citations
ABSTRACT The Vietnamese Mekong Delta (VMD), a region of immense ecological and economic importance, faces unprecedented environmental pressures. This study provides a comprehensive analysis of shoreline dynamics along the VMD coast of Vinh Long province, focusing on the segment between the Co Chien and Bassac River mou...
Nguyen T. T. Thanh, D. T. An, Nguyen C. Thanh et al.· Revista Brasileira de Engenh...· 0 citations
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