Sea Level Rise and Implications for Low-Lying Islands, Coasts and Communities

doi:10.1017/9781009157964.012

Cited by 26 publications

(10 citation statements)

References 1,053 publications

(1,743 reference statements)

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“…Center for Climate Systems Research (CCSR) and Earth Institute of Columbia Climate School (CCSR & EICCS, 2006) predicted the global populace inhabiting 60 miles of a seashore would increase by 35% by 2025 relative to the 1995 levels. However, coastline alterations are especially essential in the region of coast South Asia like Bangladesh, wherever the seashore is deemed extremely susceptible to Sea Level Rise (SLR) (Oppenheimer et al ., 2019). This is owing to the mild slope of deltaic development (Akter, Sarker, Popescu, & Roelvink, 2016), as well as a squashed populace (Penning-Rowsell, Sultana, & Thompson, 2013).…”

Section: Introductionmentioning

confidence: 99%

Assessing the shoreline dynamics on Kuakata, coastal area of Bangladesh: a GIS- and RS-based approach

Uddin

Niloy

Haque

et al. 2022

AGJSR

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PurposeThis study aims to determine shoreline change statistics and net erosion and accretion, along the Kuakata Coast, a magnificent sea beach on Bangladesh’s southernmost point.Design/methodology/approachThe research follows a three stages way to achieve the target. First, this study has used the geographic information system (GIS) and remote sensing (RS) to detect the temporal observation of shoreline change from the year 1991 to 2021 through satellite data. Then, the digital shoreline analysis system (DSAS) has also been explored. What is more, a prediction has been done for 2041 on shoreline shifting scenario. The shoreline displacement measurement was primarily separated into three analytical zones. Several statistical parameters, including Net Shoreline Movement (NSM), Shoreline Change Envelope (SCE), End Point Rate (EPR) and Linear Regression Rate (LRR) were calculated in the DSAS to quantify the rates of coastline movement with regard to erosion and deposition.FindingsEPR and LRR techniques revealed that the coastline is undergoing a shift of landward (erosion) by a median rate of 3.15 m/yr and 3.17 m/yr, respectively, from 1991 to 2021, 2.85 km2 of land was lost. Naval and climatic influences are the key reasons for this variation. This study identifies the locations of a significantly eroded zone in Kuakata from 1991 to 2021. It highlights the places that require special consideration while creating a zoning plan or other structural design.Originality/valueThis research demonstrates the spatio-temporal pattern of the shoreline location of the Kuakata beach, which would be advantageous for the region’s shore management and planning due to the impacts on the fishing industry, recreation and resource extraction. Moreover, the present research will be supportive of shoreline vulnerability. Hence, this study will suggest to the local coastal managers and decision-makers for particularizing the coastal management plans in Kuakata coast zone.

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Section: Introductionmentioning

confidence: 99%

Assessing the shoreline dynamics on Kuakata, coastal area of Bangladesh: a GIS- and RS-based approach

Uddin

Niloy

Haque

et al. 2022

AGJSR

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“…2 ). Overall, our regional sea-level hindcasts (see also “ Methods ” 32 , 33 ) allows reproducing historical coastal RSL change in French Guiana. Given the good agreement between observations and model results over the historical period, the same methodological framework is used to project coastal RSL over the twenty-first century.…”

Section: Resultsmentioning

confidence: 94%

Chronic flooding events due to sea-level rise in French Guiana

Thiéblemont,

Le Cozannet,

D’Anna

et al. 2023

Sci Rep

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As sea levels are rising, the number of chronic flooding events at high tide is increasing across the world coastlines. Yet, many events reported so far either lack observational evidence of flooding, or relate to coastal areas where ground subsidence or oceanic processes often enhance climate change-induced sea-level rise (SLR). Here we present observational and modelling evidence of high-tide flooding events that are unlikely to occur without SLR in French Guiana, where sea-level rise rates are close to the global average and where there is no significant ground subsidence. In particular, on 16 October 2020, a well-documented flooding event happened in Cayenne under calm weather conditions. Our probabilistic assessment of daily maximum water levels superimposed on SLR shows that this event can be modelled and is a consequence of SLR. As sea levels will continue to rise, we show that the number, severity and extent of such high-tide flooding events will increase across several urban areas of French Guiana, with an evolution depending on the topography. As concerns are growing regarding the economic impacts and adaptation challenges of high-tide chronic events across the world, our study provides new evidence that this early impact of SLR is emerging now.

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“…As the present ocean models are volume-conservative and do not explicitly include volume change by thermal expansion and freshwater inputs (e.g., meltwater from glaciers and ice sheets), the future sea level changes in the model provide the local effect of seawater redistribution via ocean circulation due to momentum, heat, and salinity fluxes. The global effects of thermal expansion and freshwater inputs should be assessed on the basis of the original CMIP5 global models and other independent sources (e.g., IPCC SROCC; see Oppenheimer et al 2019). The sum of the local effects in the present model and the global effects from external sources can offer an approximate evaluation of future sea level changes along the Japanese coast.…”

Section: Discussionmentioning

confidence: 99%

Development of high-resolution future ocean regional projection datasets for coastal applications in Japan

Nishikawa

Wakamatsu

Ishizaki

et al. 2021

Prog Earth Planet Sci

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In this study, we developed two high-resolution future ocean regional projection datasets for coastal applications in Japan, in which we made use of dynamical downscaling via regional ocean models with atmospheric forcing from two climate models (i.e., MIROC5 and MRI-CGCM3) participating in Coupled Model Intercomparison Project Phase 5 (CMIP5) under historical, representative concentration pathway (RCP) 2.6, and RCP8.5 scenarios. The first dataset was an eddy-resolving 10-km resolution product covering the North Pacific Ocean area and ranging continuously from 1981 to 2100, in which the Kuroshio current and mesoscale structures were reasonably resolved. The second dataset was a 2-km resolution product covering the regional domain surrounding Japan and comprising 10–15-year time slices, in which the coastal geometry and current structure were resolved even more realistically. An important feature of these datasets was the availability of reference datasets based on atmospheric and oceanic reanalysis data for cross-validation during the historical run period. Using these reference datasets, biases of regional surface thermal properties and the Kuroshio states during the historical run period were evaluated, which constitute important information for users of the datasets. In these downscaled datasets, the future surface thermal responses were generally consistent with those of their original data. Utilizing the high-resolution property of the downscaled data, possible future impact analyses regarding coastal phenomena such as strait throughflows, coastal sea level variability, and the Kuroshio intrusion phenomenon into bays (“Kyucho” phenomenon) were demonstrated and the important role of the Kuroshio state representation was indicated, which had proved difficult to analyze using the low-resolution projection data. Given these properties, the present datasets would be useful in climate change adaptation studies regarding the Japanese coastal region.

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Sea Level Rise and Implications for Low-Lying Islands, Coasts and Communities

Cited by 26 publications

References 1,053 publications

Assessing the shoreline dynamics on Kuakata, coastal area of Bangladesh: a GIS- and RS-based approach

Assessing the shoreline dynamics on Kuakata, coastal area of Bangladesh: a GIS- and RS-based approach

Chronic flooding events due to sea-level rise in French Guiana

Development of high-resolution future ocean regional projection datasets for coastal applications in Japan

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