Climate change driven shoreline change at Hasaki Beach Japan: A novel application of the Probabilistic Coastline Recession (PCR) model

2021 ◽  
pp. 104079
Author(s):  
Ali Dastgheib ◽  
Carolina Martinez ◽  
Keiko Udo ◽  
Roshanka Ranasinghe
Keyword(s):  
Climate Change ◽  
Shoreline Change

Sediment transport and shoreline shifts in response to climate change at the tidal inlets of Chilika, India

2018 ◽  
Vol 233 (1) ◽  
pp. 372-387 ◽  
Author(s):  
B Gopikrishna ◽  
MC Deo
Keyword(s):  
Climate Change ◽  
Sediment Transport ◽  
Climate Model ◽  
Regional Climate ◽  
Shoreline Change ◽  
Tidal Inlets ◽  
Littoral Drift ◽  
The Past ◽  
Longshore Sediment Transport ◽  
Other Information

The shoreline adjoining Chilika Lake, situated along India’s east coast, has multiple tidal inlets which connect the lake with Bay of Bengal. The shoreline behavior near such inlets is generally studied with the help of a suitable numerical model. Such models are run on the basis of historical data of waves and other information. However, the waves in future may show different strength and pattern than the past as a result of the climate change induced by global warming. It is thus necessary that the model input should correspond to future or projected data of wind and waves. In this work, we have used the wind information from a state-of-the-art regional climate model, CORDEX RegCM-4, of future 25 years in order to run a shoreline evolution model and have derived the longshore sediment transport rate as well as the shoreline change rate around Chilika inlets. These future values are compared with corresponding ones of the past 25 years. It is found that at the given location, mean wind might go up by 20%, and this could raise the mean significant wave height strongly by 32%. The direction and frequency of occurrence of waves would also change, and this in turn will cause an increase in the net littoral drift by 41% and net accumulated drift over the entire cross-shore width by 84%. Interestingly, the present site where accretion was prevalent in the past may see erosion in future at the rate of about 1 m per year.

scholarly journals Looking for evidence of climate change impacts in the eastern Irish Sea

2011 ◽  
Vol 11 (6) ◽  
pp. 1641-1656 ◽  
Author(s):  
L. S. Esteves ◽  
J. J. Williams ◽  
J. M. Brown
Keyword(s):  
Climate Change ◽  
Wind Speed ◽  
Climate Models ◽  
Objective Assessment ◽  
Climatic Variability ◽  
Regional Climate ◽  
Shoreline Change ◽  
Irish Sea ◽  
Erosion Risk

Abstract. Although storminess is often cited as a driver of long-term coastal erosion, a lack of suitable datasets has only allowed objective assessment of this claim in a handful of case studies. This reduces our ability to understand and predict how the coastline may respond to an increase in "storminess" as suggested by global and regional climate models. With focus on 16 km of the Sefton coastline bordering the eastern Irish Sea (UK), this paper analyses available measured datasets of water level, surge level, wave height, wind speed and barometric pressure with the objective of finding trends in metocean climate that are consistent with predictions. The paper then examines rates of change in shoreline position over the period 1894 to 2005 with the aim of establishing relationships with climatic variability using a range of measured and modelled metocean parameters (with time spans varying from two to eight decades). With the exception of the mean monthly wind speed, available metocean data do not indicate any statistically significant changes outside seasonal and decadal cycles. No clear relationship was found between changes in metocean conditions and rates of shoreline change along the Sefton coast. High interannual variability and the lack of long-term measurements make unambiguous correlations between climate change and shoreline evolution problematic. However, comparison between the North Atlantic Oscillation winter index (NAOw) and coastline changes suggest increased erosion at times of decreasing NAOw values and reduced erosion at times of increasing NAOw values. Erosion tends to be more pronounced when decreasing NAOw values lead to a strong negative NAO phase. At present, anthropogenic changes in the local sediment budget and the short-term impact of extreme events are still the largest threat likely to affect coastal flooding and erosion risk in the short- and medium-term. Nevertheless, the potential impacts of climate change in the long-term should not be ignored.

scholarly journals ASSESSMENT OF IMPACT ON SHORELINE CHANGE CONSIDERING CLIMATE CHANGE EFFECT

2013 ◽  
Vol 69 (2) ◽  
pp. I_778-I_783
Author(s):  
Kentaro HAYASHI ◽  
Tomoya SHIMURA ◽  
Nobuhito MORI ◽  
Hajime MASE
Keyword(s):  
Climate Change ◽  
Shoreline Change ◽  
Change Effect ◽  
Climate Change Effect

Coasts and climate

2013 ◽  
Vol 37 (4) ◽  
pp. 550-561 ◽  
Author(s):  
J.R. French ◽  
H. Burningham
Keyword(s):  
Climate Change ◽  
Shoreline Change ◽  
Progress Report ◽  
Coastal Processes ◽  
Climate Variables ◽  
Climate Factors ◽  
Climate Variability And Change ◽  
Coastal Morphology ◽  
Coastal Deposits ◽  
Impacts Of Climate Change

Geomorphology is increasingly engaged with the connections between coastal behaviour and climate variability and change. While impacts of climate change at the coast are often primarily viewed in terms of landform adjustments to accelerated sea-level rise, geomorphologists are also starting to unlock the subtleties of how coastal processes are forced by a broader suite of climate factors. This progress report highlights three main strands of recent geomorphological research in this vein: the search for a broader suite of climatic signatures in recent coastal deposits; empirical analyses of the linkages between climate variables and contemporary shoreline change; and enhancement of our capability to predictively model climate-driven changes in coastal morphology.

scholarly journals Dynamic Land Use and Coastline Changes in active Estuarine Regions – A Study of Sundarban Delta

2014 ◽  
Vol XL-8 ◽  
pp. 133-139 ◽  
Author(s):  
J. V. Thomas ◽  
A. Arunachalam ◽  
R. K. Jaiswal ◽  
P. G. Diwakar ◽  
B. Kiran
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Cover ◽  
Sea Level Rise ◽  
Sea Level ◽  
Remote Sensing Data ◽  
Shoreline Change ◽  
Long Term Effects ◽  
Change Analysis ◽  
Multi Temporal

Alteration of natural environment in the wake of global warming is one of the most serious issues, which is being discussed across the world. Over the last 100 years, global sea level rose by 1.0–2.5 mm/y. Present estimates of future sea-level rise induced by climate change range from 28 to 98 cm for the year 2100. It has been estimated that a 1-m rise in sea-level could displace nearly 7 million people from their homes in India. The climate change and associated sea level rise is proclaimed to be a serious threat especially to the low lying coastal areas. Thus, study of long term effects on an estuarine region not only gives opportunity for identifying the vulnerable areas but also gives a clue to the periods where the sea level rise was significant and verifies climate change impact on sea level rise. Multi-temporal remote sensing data and GIS tools are often used to study the pattern of erosion/ accretion in an area and to predict the future coast lines. The present study has been carried out in the Indian Sundarbans area. Major land cover/ land use classes has been delineated and change analysis of the land cover/ land use feature was performed using multi-temporal satellite images (Landsat MSS, TM, ETM+) from 1973 to 2010. Multivariate GIS based analysis was carried out to depict vulnerability and its trend, spatially. Digital Shoreline change analysis also was attempted for two islands, namely, Ghoramara and Sagar Islands using the past 40 years of satellite data and validated with 2012 Resourcesat-2 LISS III data.

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