Robert Jak McCarroll , David M. Kennedy , Daniel Ierodiaconou
{"title":"Morphologically adaptive modelling of sea level rise induced coastal erosion impacts for south-east Australia","authors":"Robert Jak McCarroll , David M. Kennedy , Daniel Ierodiaconou","doi":"10.1016/j.margeo.2025.107602","DOIUrl":null,"url":null,"abstract":"<div><div>Sea level rise induced coastal erosion represents an impending threat to the world's coastlines. A critical control on coastal recession is the onshore accommodation space available for a receding beach to occupy. Despite the importance of morphologic controls, coastal change models applied at regional-scale over ∼100-year time-frames typically address a limited range of coastal morphologies.</div><div>ShoreTrans is a shoreface translation model that kinematically projects profile change, based on inputs of sea level rise and sediment budget imbalances. This work presents updates to enable broad-scale model application (1000's km), automating classification and adapting to the morphology of individual profiles, including: (1) dunes; (2) cliffs; (3) bluffs and ridges; (4) inter-subtidal rock outcrops; (5) protection structures; (6) low-energy environments; and (7) short-term dune erosion. The model was applied to Victoria, Australia (2000 km coastline, 30 m spaced transects), for a scenario of 1 m sea level rise from 2010 to 2100, using a single time step and simplified treatment of uncertainty and sediment budget. Shoreline trends and variability were determined from satellite extracted shorelines.</div><div>Mean projected shoreline recession of 43 m is 20 % lower than for a simple parameterization (uncertainty range 58 % lower to 8 % higher), due to sediment transfer from the backshore to the active shoreface (e.g., dune encroachment) and hard backshores restricting shoreline movements (e.g., cliffs, seawalls). Low dunes exhibited the highest recession rates, due to rollover (68 m long-term recession). Total setback extent, including short-term variability, is projected to exceed 182 m in 5 % of low dune areas. High rates of beach loss were associated with beaches fronting hard cliffs (55 % beach loss) and seawalls (80 %). The worst impacts are expected for rocky, sediment poor coastlines, such as the Great Ocean Road Surf Coast, where a loss of 30 % to 50 % of beaches is projected, not accounting for infrastructure and potential management interventions.</div><div>Automated morphological adaptation represents a step-change for regional scale coastal change assessment. The method also allows for coupling of future erosion to inundation hazards, by interpolating a 3D surface of future morphology. At local-scale, ShoreTrans is suitable to add to hybrid models, providing a means to improve future coastal change projections.</div></div>","PeriodicalId":18229,"journal":{"name":"Marine Geology","volume":"488 ","pages":"Article 107602"},"PeriodicalIF":2.6000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Geology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0025322725001276","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Sea level rise induced coastal erosion represents an impending threat to the world's coastlines. A critical control on coastal recession is the onshore accommodation space available for a receding beach to occupy. Despite the importance of morphologic controls, coastal change models applied at regional-scale over ∼100-year time-frames typically address a limited range of coastal morphologies.
ShoreTrans is a shoreface translation model that kinematically projects profile change, based on inputs of sea level rise and sediment budget imbalances. This work presents updates to enable broad-scale model application (1000's km), automating classification and adapting to the morphology of individual profiles, including: (1) dunes; (2) cliffs; (3) bluffs and ridges; (4) inter-subtidal rock outcrops; (5) protection structures; (6) low-energy environments; and (7) short-term dune erosion. The model was applied to Victoria, Australia (2000 km coastline, 30 m spaced transects), for a scenario of 1 m sea level rise from 2010 to 2100, using a single time step and simplified treatment of uncertainty and sediment budget. Shoreline trends and variability were determined from satellite extracted shorelines.
Mean projected shoreline recession of 43 m is 20 % lower than for a simple parameterization (uncertainty range 58 % lower to 8 % higher), due to sediment transfer from the backshore to the active shoreface (e.g., dune encroachment) and hard backshores restricting shoreline movements (e.g., cliffs, seawalls). Low dunes exhibited the highest recession rates, due to rollover (68 m long-term recession). Total setback extent, including short-term variability, is projected to exceed 182 m in 5 % of low dune areas. High rates of beach loss were associated with beaches fronting hard cliffs (55 % beach loss) and seawalls (80 %). The worst impacts are expected for rocky, sediment poor coastlines, such as the Great Ocean Road Surf Coast, where a loss of 30 % to 50 % of beaches is projected, not accounting for infrastructure and potential management interventions.
Automated morphological adaptation represents a step-change for regional scale coastal change assessment. The method also allows for coupling of future erosion to inundation hazards, by interpolating a 3D surface of future morphology. At local-scale, ShoreTrans is suitable to add to hybrid models, providing a means to improve future coastal change projections.
期刊介绍:
Marine Geology is the premier international journal on marine geological processes in the broadest sense. We seek papers that are comprehensive, interdisciplinary and synthetic that will be lasting contributions to the field. Although most papers are based on regional studies, they must demonstrate new findings of international significance. We accept papers on subjects as diverse as seafloor hydrothermal systems, beach dynamics, early diagenesis, microbiological studies in sediments, palaeoclimate studies and geophysical studies of the seabed. We encourage papers that address emerging new fields, for example the influence of anthropogenic processes on coastal/marine geology and coastal/marine geoarchaeology. We insist that the papers are concerned with the marine realm and that they deal with geology: with rocks, sediments, and physical and chemical processes affecting them. Papers should address scientific hypotheses: highly descriptive data compilations or papers that deal only with marine management and risk assessment should be submitted to other journals. Papers on laboratory or modelling studies must demonstrate direct relevance to marine processes or deposits. The primary criteria for acceptance of papers is that the science is of high quality, novel, significant, and of broad international interest.