A storm hazard matrix combining coastal flooding and beach erosion

Leaman, Christopher; Harley, Mitchell D.; Splinter, Kristen D.; Thran, Amanda; Kinsela, Michael A.; Turner, Ian L.

doi:10.1016/j.coastaleng.2021.104001

Cited by 42 publications

(10 citation statements)

References 54 publications

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“…For this reason, the beach-face slope dataset is important for improving predictions of coastal erosion and inundation along the Australian coast (O'Grady et al, 2019) and assessing coastal inundation hazards and potential damage to beach-front infrastructure. Furthermore, in the context of an operational coastal flood warning system for sandy beaches (e.g., Leaman et al, 2021;Stokes et al, 2019) the confidence bands associated with each slope estimate are key to propagate the uncertainty into the run-up equations and provide equivalent confidence bands for the total run-up elevation and swash excursion predictions.…”

Section: Dataset Descriptionmentioning

confidence: 99%

Beach-face slope dataset for Australia

Vos

Deng

Harley

et al. 2021

Preprint

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Abstract. Sandy beaches are unique environments composed of unconsolidated sediments that are constantly reshaped by the action of waves, tides, currents, and winds. The most seaward region of the dry beach, referred to as the beach face, is the primary interface between land and ocean and is of fundamental importance to coastal processes, including the dissipation and reflection of wave energy at the coast, and the exchange of sediment between the land and sea. The slope of the beach-face is a critical parameter in coastal geomorphology and coastal engineering, necessary to calculate the total elevation and excursion of wave run-up at the shoreline. However, datasets of the beach-face slope remain unavailable along most of the world’s coastlines. This study presents a new dataset of beach-face slopes for the Australian coastline derived from a novel remote sensing technique. The dataset covers 13,200 km of sandy coast and provides an estimate of the beach-face slope at every 100 m alongshore, accompanied by an easy to apply measure of the confidence of each slope estimate. The dataset offers a unique view of large-scale spatial variability in beach-face slope and addresses the growing need for this information to predict coastal hazards around Australia. The beach-face slope dataset and relevant metadata are available at https://doi.org/10.5281/zenodo.5606217 (Vos et al., 2021)

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Section: Dataset Descriptionmentioning

confidence: 99%

Beach-face slope dataset for Australia

Vos

Deng

Harley

et al. 2021

Preprint

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“…They suggested that Taiwan supplied 384 Mt yr −1 of suspended sediment to the ocean from 1970 to 1999, which represents 1.9% of the estimated global suspended sediment discharge but is derived from only 0.024% of Earth's subaerial surface. A better understanding of the nature and evolution of coastal (beach) erosion and accretion is necessary to inform and enact appropriate and timely disaster preparedness [31,32]. Moreover, to accurately assess coastal hazards in the face of future climate and land-use changes, it is necessary to understand the dynamics of shoreline erosion and accretion over the length and time scales relevant to the processes that drive change.…”

Section: Introductionmentioning

confidence: 99%

On-Site Investigations of Coastal Erosion and Accretion for the Northeast of Taiwan

Liang

Chang

Hsiao

et al. 2022

JMSE

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Coastal erosion is a major natural hazard along the northeastern shoreline (i.e., Yilan County) of Taiwan. Analyses of the evolution of the 0 m isobath of the Yilan County coastline indicate that erosion and accretion are occurring north and south of Wushi Fishery Port, respectively, because of jetty and groin construction. Topographic and bathymetric surveys involving the measurement of 43 cross sections were conducted in 2006, 2012, 2013, and 2019. The cross-shore profile comparisons reveal that the erosion of onshore dunes is significant in the northern Jhuan River estuary. Due to the establishment of a nature reserve in the southern Lanyang River estuary, the sediments are carried northward by tidal currents, and accretion is inevitable in the northern Lanyang River estuary. The results of the bathymetric surveys also suggest that the shoreline of Yilan County tends to accrete in summer because of abundant sediment from the rivers; however, it is eroded in winter, owing to the large waves induced by the northeast monsoon. Additionally, the calculated net volume of erosion and accretion between each pair of cross sections shows that the length of coastline impacted by estuarine sediment transport is approximately 2 km long from north to south along the coastline of the Lanyang River estuary.

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“…Forecasting coastal erosion, where the hazard is caused by rapid morphological change induced by the storm (most notably on the sub-aerial beach and dune), is an emerging area of disaster risk-reduction research. Coastal erosion hazards are particularly relevant along wave-dominated, sandy coastlines [8], and the dynamic nature of these nearshore systems may result in additional forecasting challenges.…”

Section: Introductionmentioning

confidence: 99%

Bathymetric Data Requirements for Operational Coastal Erosion Forecasting Using XBeach

Matheen

Harley

Turner

et al. 2021

JMSE

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There is an increasing interest in the broad-scale implementation of coastal erosion early warning systems (EWS) with the goal of enhancing community preparedness to extreme coastal storm wave events. These emerging systems typically rely on process-based models to predict the storm-induced morphological change. A key challenge with incorporating these models in EWSs is the need for up-to-date nearshore and surf zone bathymetry data, which is difficult to measure routinely, but potentially important for accurate erosion forecasting. This study evaluates the degree to which up-to-date bathymetry is required for accurate coastal erosion predictions using the morphodynamic model XBeach and, subsequently, whether a range of “representative” and/or “synthetic” bathymetries can be used for the bottom boundary, when a survey of the immediate pre-storm bathymetry is not available. Twelve storm events at two contrasting sites were modelled using six different bathymetry scenarios, including the expected “best case” bathymetry surveyed immediately pre-storm. These results indicate that alternative bathymetries can be used to obtain sub-aerial erosion predictions that are similar (and in some cases better) than those resulting from the use of an immediately pre-storm surveyed bathymetry, provided that rigorous model calibration is undertaken prior. This generalized finding is attributed to specific parametrizations in the XBeach model structure that are optimized during the calibration process to match the particular bottom boundary condition used. This study provides practical guidance for the selection of suitable nearshore bathymetry for use in operational coastal erosion EWSs.

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A storm hazard matrix combining coastal flooding and beach erosion

Cited by 42 publications

References 54 publications

Beach-face slope dataset for Australia

Beach-face slope dataset for Australia

On-Site Investigations of Coastal Erosion and Accretion for the Northeast of Taiwan

Bathymetric Data Requirements for Operational Coastal Erosion Forecasting Using XBeach

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